| 2023 | 3D Brain Registration with Intensity Shift Robustness. Hassan Mahmood, Asim Iqbal, Syed Mohammed Shamsul Islam, Syed Afaq Ali Shah |
| 2023 | 3D Face Reconstruction Based on Weakly-Supervised Learning Morphable Face Model. Kai-Wen Liang, Pin-Hsuan Li, Chung-Hsun Lo, Chien-Yao Wang, Yung-Fang Chen, Jia-Ching Wang, Pao-Chi Chang |
| 2023 | 3D Facial Expression Generator Based on Transformer VAE. Kaifeng Zou, Boyang Yu, Hyewon Seo |
| 2023 | 3D Hippocampus Segmentation Using a Hog Based Loss Function with Majority Pooling. Arijit De, Mona Tiwari, Ananda S. Chowdhury |
| 2023 | 3D Human Motion Prediction via Activity-Driven Attention-MLP Association. Shaobo Zhang, Sheng Liu, Fei Gao |
| 2023 | 3D Unsupervised Region-Aware Registration Transformer. Yu Hao, Yi Fang |
| 2023 | 3D-CSL: Self-Supervised 3D Context Similarity Learning for Near-Duplicate Video Retrieval. Rui Deng, Qian Wu, Yuke Li |
| 2023 | 3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation. Nhu-Tai Do, Hoang-Son Vo-Thanh, Tram-Tran Nguyen-Quynh, Soo-Hyung Kim |
| 2023 | 3M3D: Multi-View, Multi-Path, Multi-Representation for 3D Object Detection. Jongwoo Park, Apoorv Singh, Varun Bankiti |
| 2023 | A 3D Label Stereo Matching Method Using Underwater Energy Function. Weijin Lv, Xin Jin, Jiang Guotai |
| 2023 | A Baseline on Continual Learning Methods for Video Action Recognition. Giulia Castagnolo, Concetto Spampinato, Francesco Rundo, Daniela Giordano, Simone Palazzo |
| 2023 | A CAM-Enhancing Generative Person Re-ID Method Based Global and Local Features. Angze Li, Shasha Mao, Lin Xiong, Mengnan Qi, Shuiping Gou, Licheng Jiao |
| 2023 | A Contrario Detection of H.264 Video Double Compression. Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Jean-Michel Morel, Miguel Colom, Rafael Grompone von Gioi |
| 2023 | A Contrastive Learning Approach for Screenshot Demoiréing. Duong Hai Nguyen, Chul Lee |
| 2023 | A Convergent Neural Network for Non-Blind Image Deblurring. Yanan Zhao, Yuelong Li, Haichuan Zhang, Vishal Monga, Yonina C. Eldar |
| 2023 | A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness. Huaqi Tao, Bingxi Liu, Jinqiang Cui, Hong Zhang |
| 2023 | A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression. Yuting Hu, Wen Tan, Fanyang Meng, Yongsheng Liang |
| 2023 | A Differentiable Gaussian Prototype Layer for Explainable Fruit Segmentation. Michael Gerstenberger, Steffen Maaß, Peter Eisert, Sebastian Bosse |
| 2023 | A Feature Refinement Module for Light-Weight Semantic Segmentation Network. Zhiyan Wang, Xin Guo, Song Wang, Peixiao Zheng, Lin Qi |
| 2023 | A Global-Local Contrastive Learning Framework for Video Captioning. Qunyue Huang, Bin Fang, Xi Ai |
| 2023 | A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement. Lijun Zhao, Ke Wang, Jinjing Zhang, Jie Zhao, Anhong Wang |
| 2023 | A Key Feature-Enhanced Network for Remote Sensing Object Detection. Yundong Liu, Yan Dong, Haonan Kang, Guangshuai Gao, Chunlei Li, Zhoufeng Liu |
| 2023 | A Large Scale Multi-View RGBD Visual Affordance Learning Dataset. Zeyad Osama Khalifa, Syed Afaq Ali Shah |
| 2023 | A Lightweight Hybrid Representation for Virtual Complex Scenes. Shuai Shao, Xin Jin |
| 2023 | A Multi-Modal Transformer Approach for Football Event Classification. Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng |
| 2023 | A Multi-Scale Cell Segmentation Method for Detecting Hematological Disorders. Yating Fang, Baojiang Zhong, Zikai Wang, Kai-Kuang Ma |
| 2023 | A Multi-Stream Network for Mesh Denoising Via Graph Neural Networks with Gaussian Curvature. Zhibo Zhao, Wenhui Wu, HongJie Liu, Yuanhao Gong |
| 2023 | A Multichannel Localization Method for Camouflaged Object Detection. Md. Rakibur Rahman, Md. Mafri Chowdhury, Md. Shohanur Rahaman Sarkar, Md. Shahriar Karim |
| 2023 | A Multiscale Residual Solver for Total Variation Models. Yuanhao Gong |
| 2023 | A No-Reference Quality Assessment Method for Digital Human Head. Yingjie Zhou, Zicheng Zhang, Wei Sun, Xiongkuo Min, Xianghe Ma, Guangtao Zhai |
| 2023 | A Novel Class Activation Map for Visual Explanations in Multi-Object Scenes. Yifan Wang, Siyuan Deng, Kunhao Yuan, Gerald Schaefer, Xiyao Liu, Hui Fang |
| 2023 | A Novel Pseudo-Label Generation Method for Semi-Superivised SAR Target Recognition Based on Deep Learning. Xinzheng Zhang, Yuqing Luo, Liping Hu |
| 2023 | A Novel Selective Encryption Scheme for H.266/VVC Video. Chen Chen, Xingjun Wang |
| 2023 | A Novel Weakly Supervised Segmentation Approach for Rapid Left Ventricle Annotation. Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed |
| 2023 | A Penalized Modified Huber Regularization to Improve Adversarial Robustness. Modeste Atsague, Ashutosh Nirala, Olukorede Fakorede, Jin Tian |
| 2023 | A Privacy-Preserving Approach for Multi-Source Domain Adaptive Object Detection. Peggy Joy Lu, Chia-Yung Jui, Jen-Hui Chuang |
| 2023 | A Probability-Based All-Zero Block Early Termination Algorithm for QSHVC. Dayong Wang, Xin Lu, Frédéric Dufaux, Qianmin Wang, Weisheng Li, Bo Hang, Ce Zhu |
| 2023 | A Saliency-Aware Method for Arbitrary Style Transfer. Yitong Li, Jie Ma |
| 2023 | A Semi-Paired Approach for Label-to-Image Translation. George Eskandar, Shuai Zhang, Mohamed Abdelsamad, Mark Youssef, Diandian Guo, Bin Yang |
| 2023 | A Shallow U-Net with Split-Fused Attention Mechanism for Retinal Vessel Segmentation. Amit Bhati, Samir Jain, Neha Gour, Pritee Khanna, Aparajita Ojha, Naoufel Werghi |
| 2023 | A Structure-Fusion Network for Medical Image Classification. Fuli Wu, Wei Yuan, Pengyi Hao, Shu-yuan Tian |
| 2023 | A Topology Based Denoising Approach for 2D Scalar Fields. Chun Gong, Yateng Qiao, Haoyu Lu, Lipo Wang |
| 2023 | A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification. Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando C. Ombao |
| 2023 | A Visible and Infrared Image Fusion Framework Based on Dual-Path Encoder-Decoder and Multi-Scale Discrete Wavelet Transform. Renhe Liu, Han Wang, Shan Du, Yu Liu |
| 2023 | A two-Dimensional Difference Histogram Equalization with fuzzy Cumulative Distribution Correction for dark Images. Fan Wang, Jianzhou Zhang, Ang Bian |
| 2023 | AAFACE: Attribute-Aware Attentional Network for Face Recognition. Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi |
| 2023 | ADA-VIT: Attention-Guided Data Augmentation for Vision Transformers. Nada Baili, Hichem Frigui |
| 2023 | ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection. Yiming Huang, Guole Liu, Yaoru Luo, Ge Yang |
| 2023 | AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition. Mingzhe Sui, Hanting Li, Zhaoqing Zhu, Feng Zhao |
| 2023 | AICT: An Adaptive Image Compression Transformer. Ahmed Ghorbel, Wassim Hamidouche, Luce Morin |
| 2023 | AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor |
| 2023 | ASVFI: Audio-Driven Speaker Video Frame Interpolation. Qianrui Wang, Dengshi Li, Liang Liao, Hao Song, Wei Li, Jing Xiao |
| 2023 | Abnormal-Aware Loss and Full Distillation for Unsupervised Anomaly Detection Based on Knowledge Distillation. Mengyuan Zhao, Yonghong Song |
| 2023 | Accurate Registration between Ultra-Wide-Field and Narrow Angle Retina Images with 3D Eyeball Shape Optimization. Junkang Zhang, Bo Wen, Fritz Gerald P. Kalaw, Melina Cavichini, Dirk-Uwe G. Bartsch, William R. Freeman, Truong Q. Nguyen, Cheolhong An |
| 2023 | Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models. Ahmed Sharafeldeen, Ahmed Alksas, Mohammed Ghazal, Maha Yaghi, Adel Khelifi, Ali Mahmoud, Sohail Contractor, Eric Van Bogaert, Ayman El-Baz |
| 2023 | Accurate Single-Image Defocus Deblurring Based on Improved Integration with Defocus Map Estimation. Qian Ye, Masanori Suganuma, Takayuki Okatani |
| 2023 | Action Anticipation with Goal Consistency. Olga Zatsarynna, Juergen Gall |
| 2023 | Adaptive Anchor Label Propagation for Transductive Few-Shot Learning. Michalis Lazarou, Yannis Avrithis, Guangyu Ren, Tania Stathaki |
| 2023 | Adaptive Camouflage Pattern Generation to Different Environments Via Content-Aware Style Transfer. Min-Jae Kim, Subin Kwon, Byung-Hyun Ahn, Euntaek Ha, Yeonhee Choi, Joonki Paik |
| 2023 | Adaptive Graph Convolution Module for Salient Object Detection. Yongwoo Lee, Minhyeok Lee, Suhwan Cho, Sangyoun Lee |
| 2023 | Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. Yulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan |
| 2023 | Adaptive and Robust Mmwave-Based 3D Human Mesh Estimation for Diverse Poses. Kotaro Amaya, Mariko Isogawa |
| 2023 | Adding Distance Information to Self-Supervised Learning for rich Representations. Yeji Kim, Bai-Sun Kong |
| 2023 | Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score. Mehryar Abbasi, Parvaneh Saeedi |
| 2023 | Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. David Minnen, Nick Johnston |
| 2023 | Adversarial Defect Synthesis for Industrial Products in Low Data Regime. Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri |
| 2023 | Adversarial Defense via Perturbation-Disentanglement in Hyperspectral Image Classification. Cheng Shi, Ying Liu, Minghua Zhao, Zhenzhen You, Ziyuan Zhao |
| 2023 | Adversarial Example Detection Bayesian Game. Hui Zeng, Biwei Chen, Kang Deng, Anjie Peng |
| 2023 | All-Intra Rate Control Using Low Complexity Video Features for Versatile Video Coding. Vignesh V. Menon, Anastasia Henkel, Prajit T. Rajendran, Christian R. Helmrich, Adam Wieckowski, Benjamin Bross, Christian Timmerer, Detlev Marpe |
| 2023 | An Adjustable Fast Decision Method for Affine Motion Estimation in VVC. Hossein Pejman, Stéphane Coulombe, Carlos Vázquez, Mohammadreza Jamali, Ahmad Vakili |
| 2023 | An Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays. Shumin Liu, Jie Chen, Susanto Rahardja |
| 2023 | An Automatic Colorectal Polyps Detection Approach for Ct Colonography. Mohamed Yousuf, Islam Alkabbany, Asem M. Ali, Salwa Elshazly, Albert Seow, Gerald W. Dryden, Aly A. Farag |
| 2023 | An Efficient Deep Unrolling Super-Resolution Network for Lidar Automotive Scenes. Alexandros Gkillas, Aris S. Lalos, Dimitris Ampeliotis |
| 2023 | An Efficient Deep Video Model For Deepfake Detection. Ruipeng Sun, Ziyuan Zhao, Li Shen, Zeng Zeng, Yuxin Li, Bharadwaj Veeravalli, XuLei Yang |
| 2023 | An Enhanced Neuron Attribution-Based Attack Via Pixel Dropping. Zhi Lin, Anjie Peng, Hui Zeng, Kaijun Wu, Wenxin Yu |
| 2023 | An Improved Upper Bound on the Rate-Distortion Function of Images. Zhihao Duan, Jack Ma, Jiangpeng He, Fengqing Zhu |
| 2023 | An Inter-Observer Consistent Deep Adversarial Training for Visual Scanpath Prediction. Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Alessandro Bruno |
| 2023 | Arbitrary Point Cloud Upsampling Via Dual Back-Projection Network. Zhisong Liu, Zijia Wang, Zhen Jia |
| 2023 | Artifact: A Large-Scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection. Md Awsafur Rahman, Bishmoy Paul, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Shaikh Anowarul Fattah |
| 2023 | Asymmetric Scalable Cross-Modal Hashing. Wenyun Li, Chi-Man Pun |
| 2023 | Atten-Adapter: A Unified Attention-Based Adapter for Efficient Tuning. Kaiwen Li, Wenzhe Gu, Maixuan Xue, Jiahua Xiao, Dahu Shi, Xing Wei |
| 2023 | Attention-Guided Contrastive Masked Image Modeling for Transformer-Based Self-Supervised Learning. Yucheng Zhan, Yucheng Zhao, Chong Luo, Yueyi Zhang, Xiaoyan Sun |
| 2023 | Attentive Deep K-SVD Network for Patch Correlated Image Denoising. Yiwen Liang, Lu Wang, Jianfei Wang, Ye Luo |
| 2023 | Attribute Learning with Knowledge Enhanced Partial Annotations. Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo |
| 2023 | Audio-Visual Quality Assessment for User Generated Content: Database and Method. Yuqin Cao, Xiongkuo Min, Wei Sun, Xiao-Ping (Steven) Zhang, Guangtao Zhai |
| 2023 | Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers. Ahmed Aboudessouki, Khadiga M. Ali, Mohamed Elsharkawy, Ahmed Alksas, Ali Mahmoud, Fahmi Khalifa, Mohammed Ghazal, Jawad Yousaf, Hadil Abu Khalifeh, Ayman El-Baz |
| 2023 | Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography. Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Hassina Z. Bilheux, Gregery T. Buzzard, Charles A. Bouman |
| 2023 | BATINeT: Background-Aware Text to Image Synthesis and Manipulation Network. Ryugo Morita, Zhiqiang Zhang, Jinjia Zhou |
| 2023 | BCKD: Block-Correlation Knowledge Distillation. Qi Wang, Lu Liu, Wenxin Yu, Shiyu Chen, Jun Gong, Peng Chen |
| 2023 | BITS-Net: Blind Image Transparency Separation Network. Chao Zhou, Zhaoyan Lyu, Miguel R. D. Rodrigues |
| 2023 | BS-YOLOv5s: Insulator Defect Detection with Attention Mechanism and Multi-Scale Fusion. Zengbin Zhang, Guohua Lv, Guixin Zhao, Yi Zhai, Jinyong Cheng |
| 2023 | Background Clustering Pre-Training for Few-Shot Segmentation. Zhimiao Yu, Tiancheng Lin, Yi Xu |
| 2023 | Background Masked Guided Network for Skin Lesion Segmentation in Dermoscopy Image. Weixin Xu |
| 2023 | Base Layer Efficiency in Scalable Human-Machine Coding. Yalda Foroutan, Alon Harell, Anderson de Andrade, Ivan V. Bajic |
| 2023 | Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN. Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad |
| 2023 | Bitrate-Performance Optimized Model Training for the Neural Network Coding (NNC) Standard. Paul Haase, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand |
| 2023 | Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model. Hatef Otroshi-Shahreza, Sébastien Marcel |
| 2023 | Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics. Wei Zhou, Zhou Wang |
| 2023 | Blind Quality Assessment of Light Field Image Based on Spatio-Angular Textural Variation. Zhengyu Zhang, Shishun Tian, Wenbin Zou, Yuhang Zhang, Luce Morin, Lu Zhang |
| 2023 | Block-Based Motion Estimation for Deep-Learned Video Coding. Sophie Pientka, Michael Schäfer, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand |
| 2023 | CDNet: Cluster Decision for Deepfake Detection Generalization. Zeming Hou, Zhongyun Hua, Kuiyuan Zhang, Yushu Zhang |
| 2023 | CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang |
| 2023 | CKT: Cross-Image Knowledge Transfer for Texture Anomaly Detection. Zixin Chen, Xincheng Yao, Zhenyu Liu, Baozhu Zhang, Chongyang Zhang |
| 2023 | CLIP-FG:Selecting Discriminative Image Patches by Contrastive Language-Image Pre-Training for Fine-Grained Image Classification. Min Yuan, Ningning Lv, Yufei Xie, Fuxiang Lu, Kun Zhan |
| 2023 | CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. Hyekang Kevin Joo, Khoa Vo, Kashu Yamazaki, Ngan Le |
| 2023 | CLIP4Stereo: Revisiting Domain Generalized Stereo Matching via Clip. Chihao Ma, Pengcheng Zeng, Jucai Zhai, Yang Liu, Yong Zhao, Xinan Wang |
| 2023 | CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. Mohammed Aburidi, Roummel F. Marcia |
| 2023 | CNN-Based Estimation of Water Depth from Multispectral Drone Imagery for Mosquito Control. Qianyao Shen, K. T. Y. Mahima, Kasun De Zoysa, Luca Mottola, Thiemo Voigt, Markus Flierl |
| 2023 | COCCA: Point Cloud Completion through Cad Cross-Attention. Adam Misik, Driton Salihu, Heike Brock, Eckehard G. Steinbach |
| 2023 | COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, XuLei Yang |
| 2023 | CPU Microarchitectural Performance Analysis of SVT-AV1 Encoder. Prerna Budhkar, Navneet Rao, Jainaveen Sundaram, Tanay Karnik |
| 2023 | CR-UNIT: Unsupervised Image-to-Image Translation with Content Reconstruction. Xiaowen Shi, Yuan-Gen Wang |
| 2023 | CSSBA: A Clean Label Sample-Specific Backdoor Attack. Zihan Shen, Wei Hou, Yun Li |
| 2023 | CTI-Unet: Hybrid Local Features and Global Representations Efficiently. Haigen Hu, Zhichao Jin, Qianwei Zhou, Qiu Guan, Qi Chen |
| 2023 | CXRMIM: Masked Image Modeling Pre-Training Paradigm for Chest X-Ray Images Analysis. Zhendong Wang, Haowen Ma, Jianwei Niu |
| 2023 | Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels? Hejer Ammar, Angelique Loesch, Corentin Vannier, Romaric Audigier |
| 2023 | Can we Distill Knowledge from Powerful Teachers Directly? Chengyao Qian, Munawar Hayat, Mehrtash Harandi |
| 2023 | Capsule Transformer Network for Dynamic Hand Gesture Recognition Using Multimodal Data. Alexandre Lebas, Rim Slama, Hazem Wannous |
| 2023 | Change Detection for Remote Sensing Images based on Semantic Prototypes and Contrastive Learning. Guiqin Zhao, Weiqiang Wang |
| 2023 | Channel Pruning Via Attention Module And Memory Curve. Hufei Li, Jian Cao, Xiangcheng Liu, Jue Chen, Jingjie Shang, Yu Qian, Yuan Wang |
| 2023 | Classification Task Assisted Segmentation Network for Breast Tumor Segmentation in Ultrasound Images. Kunkun Zhang, Bin Wang |
| 2023 | ClothFit: Cloth-Human-Attribute Guided Virtual Try-on Network Using 3D Simulated Dataset. Yunmin Cho, Lala Shakti Swarup Ray, Kundan Sai Prabhu Thota, Sungho Suh, Paul Lukowicz |
| 2023 | Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection. Sho Harada, Xian-Hua Han |
| 2023 | Color Learning for Image Compression. Srivatsa Prativadibhayankaram, Thomas Richter, Heiko Sparenberg, Siegfried Foessel |
| 2023 | Combining Self-Supervised and Supervised Learning with Noisy Labels. Yongqi Zhang, Hui Zhang, Quanming Yao, Jun Wan |
| 2023 | Compact Selective Transformer Based on Information Entropy for Facial Expression Recognition in the Wild. Liyuan Guo, Lianghai Jin, Guangzhi Ma, Xiangyang Xu |
| 2023 | Comparative Study of Saliency- and Scanpath-Based Approaches for Patch Selection in Image Quality Assessment. Aladine Chetouani |
| 2023 | Complexity Reduction of Graph Signal Denoising Based on Fast Graph Fourier Transform. Takayuki Sasaki, Yukihiro Bandoh, Masaki Kitahara |
| 2023 | Complexity Scalable Learning-Based Image Decoding. Md Tahsir Ahmed Munna, João Ascenso |
| 2023 | Complexity-Efficient Quantizer Selection for HEVC Encoder. Motong Xu, Byeungwoo Jeon |
| 2023 | Compound Multi-Branch Feature Fusion for Image Deraindrop. Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2023 | Confidence-Aware Clustered Landmark Filtering For Hybrid 3D Face Tracking. Jilliam María Díaz Barros, Chenyu Wang, Didier Stricker, Jason R. Rambach |
| 2023 | Consistent and Diverse Human Motion Prediction Using Conditional Variational Autoencoder with Context-Aware Latent Space. Chihiro Nakatsuka, Satoshi Komorita |
| 2023 | Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting. Chiao-An Yang, Meng-Lin Wu, Raymond A. Yeh, Yu-Chiang Frank Wang |
| 2023 | Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression. Shujia Li, Dezhao Wang, Zejia Fan, Jiaying Liu |
| 2023 | Context-Aware Data Augmentation for LIDAR 3d Object Detection. Xuzhong Hu, Zaipeng Duan, Xiao Huang, Ziwen Xu, Delie Ming, Jie Ma |
| 2023 | Context-Aware Inpainter-Refiner for Skeleton-Based Human Motion Completion. Rong He, Yansong Tang, Xiu Li, Jiwen Lu |
| 2023 | Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images. Sidharrth Nagappan, Jia Qi Tan, Lai-Kuan Wong, John See |
| 2023 | Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. Haleh Damirchi, Michael A. Greenspan, Ali Etemad |
| 2023 | Context-Aware Transformers for Weakly Supervised Baggage Threat Localization. Divya Velayudhan, Abdelfatah Hassan Ahmed, Taimur Hassan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi |
| 2023 | Continual Learning for Out-of-Distribution Pedestrian Detection. Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan |
| 2023 | Contour Artifact Removal for Expanded HDR Content. Yi Liu, Guozhan Sun, Wenjing Shuai |
| 2023 | Contour-Assisted Long-Range Perceptual Network for Camouflaged Instance Segmentation. Junjie Cui, Fengming Sun, Xia Yuan |
| 2023 | Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space. Qiyu Wei, Weihua Zheng, Yuxin Li, Zhongyao Cheng, Zeng Zeng, XuLei Yang |
| 2023 | Correlation and Foreground Attention to Improve Object Detection. Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie |
| 2023 | Cost-Efficient Multi-Instance Multi-Label Active Learning Via Correlation of Features. Guoliang Su, Zhangquan Wu, Yujia Ye, Maoxing Chen, Jun Zhou |
| 2023 | Coupling Spatial and Channel Transformer for Single Image Deraining. Yuto Namba, Jiande Sun, Xian-Hua Han |
| 2023 | Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adaptation to Multiple Image Corruptions. Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai |
| 2023 | Cross Spectral Image Reconstruction Using a Deep Guided Neural Network. Frank Sippel, Jürgen Seiler, André Kaup |
| 2023 | Cross-Domain Few-Shot Classification Via Inter-Source Stylization. Huali Xu, Shuaifeng Zhi, Li Liu |
| 2023 | Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. Yushun Tang, Qinghai Guo, Zhihai He |
| 2023 | Cross-Layer Patch Alignment and Intra-and-Inter Patch Relations for Knowledge Distillation. Yi Zhang, Yingke Gao, Haonan Zhang, Xinyu Lei, Longjun Liu |
| 2023 | Cross-Scale Query-Support Alignment Approach for Small Object Detection in the Few-Shot Regime. Pierre Le Jeune, Anissa Mokraoui |
| 2023 | Curriculum Knowledge Switching for Pancreas Segmentation. Yumou Tang, Kun Zhan, Zhibo Tian, Mingxuan Zhang, Saisai Wang, Xueming Wen |
| 2023 | DAUT: Underwater Image Enhancement Using Depth Aware U-shape Transformer. Mohamed Badran, Marwan Torki |
| 2023 | DENSECL: Haze Mitigation Using Dense Blocks and Contrastive Loss Regularization. Somosmita Mitra, Byung H. Park |
| 2023 | DF-Net: Diversity-Focused Network for Video Object Detection. Zhenyu Qiu, Qiang Qi, Yan Yan, Hanzi Wang |
| 2023 | DFT-CAM: Discrete Fourier Transform Driven Class Activation Map. Yang Yang Wang, Filiz Bunyak |
| 2023 | DLAHSD: Dynamic Label Adopted In Auxiliary Head for SAR Detection. Xiaoxiao Yin, Shiyong Lan, Weikang Huang, Yitong Ma, Wenwu Wang, Hongyu Yang, Yilin Zheng |
| 2023 | DLEN: Deep Laplacian Enhancement Networks for Low-Light Images. Xinjie Wei, Kan Chang, Guiqing Li, Mengyuan Huang, Qingpao Qin |
| 2023 | DNC-Net:Dual-neighbourhood Consensus Network for Feature Matching. Qimin Jiang, Songlin Du |
| 2023 | DP-Net: Learning Discriminative Parts for Image Recognition. Ronan Sicre, Hanwei Zhang, Julien Dejasmin, Chiheb Daaloul, Stéphane Ayache, Thierry Artières |
| 2023 | DPDM: Feature-Based Pose Refinement with Deep Pose and Deep Match for Monocular Visual Odometry. Li-Yang Huang, Shao-Syuan Huang, Shao-Yi Chien |
| 2023 | DSG-PL: ROI Extraction Based on Dual Saliency Guided Progressive Learning for Weakly Labeled Remote Sensing Images. Yanan Liu, Libao Zhang |
| 2023 | Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised Loss. Fen Fang, Nhat M. Hoang, Qianli Xu, Joo-Hwee Lim |
| 2023 | Data Generation with Structure Enforcing Adversarial Learning. Indu Solomon, Uttam Kumar, Senthilnath Jayavelu |
| 2023 | Data Poisoning Attack Aiming the Vulnerability of Continual Learning. Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim |
| 2023 | Dataset-Level Directed Image Translation for Cross-Domain Crowd Counting. Xin Tan, Hiroshi Ishikawa |
| 2023 | Deep Active Learning Based on Saliency-Guided Data Augmentation for Image Classification. Ying Liu, Yuliang Pang, Weidong Zhang |
| 2023 | Deep Bayesian Blind Color Deconvolution of Histological Images. Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | Deep CNN-Based Pre-Encoding Perceptual Quality Control and Prediction. Maryam Jenab, Shahram Shirani |
| 2023 | Deep Cross-Modal Steganography Using Neural Representations. Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim |
| 2023 | Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography. Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent C. Paquit, Amirkoushyar Ziabari |
| 2023 | Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography. Jaroslaw Goslinski, Filip Malawski, Mariusz Bujny, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa |
| 2023 | Deep Learning Reconstruction for Single Pixel Imaging with Generative Adversarial Networks. Baturalp Güven, Alper Güngör, M. Umut Bahçeci, Tolga Çukur |
| 2023 | Deep Learning-Based Compressed Domain Point Cloud Classification. Abdelrahman Seleem, André F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira |
| 2023 | Deep OC-Sort: Multi-Pedestrian Tracking by Adaptive Re-Identification. Gerard Maggiolino, Adnan Ahmad, Jinkun Cao, Kris Kitani |
| 2023 | Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | Deep Unfolding Network with Physics-Based Priors for Underwater Image Enhancement. Thuy Thi Pham, Truong Thanh Nhat Mai, Chul Lee |
| 2023 | Deep Unrolling Shrinkage Network for Dynamic MR Imaging. Yinghao Zhang, Xiaodi Li, Weihang Li, Yue Hu |
| 2023 | Deep Unsupervised Hashing with Semantic Consistency Learning. Chuang Zhao, Shijie Lu, Hefei Ling, Yuxuan Shi, Bo Gu, Ping Li, Qiang Cao |
| 2023 | Deep Unsupervised Reflection Removal Using Diffusion Models. Green Rosh K. S, B. H. Pawan Prasad, Lokesh R. Boregowda, Kaushik Mitra |
| 2023 | Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. Akshay V. Gaikwad, Harshit Varma, Suyash P. Awate |
| 2023 | Deep-Learning-Based Energy Aware Images. Olivier Le Meur, Claire-Hélène Demarty, Laurent Blondé |
| 2023 | Deepfake Face Provenance for Proactive Forensics. Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han, Qin Zou |
| 2023 | Deformation Robust Text Spotting with Geometric Prior. Xixuan Hao, Aozhong Zhang, Xianze Meng, Bin Fu |
| 2023 | Degradation Conditioned GAN for Degradation Generalization of Face Restoration Models. Qi Song, Wu Shi, Guojing Ge, Liang Chang |
| 2023 | Denoising Point Clouds with Intensity and Spatial Features in Rainy Weather. Haozheng Han, Xin Jin, Zhiheng Li |
| 2023 | Dense Depth Estimation for Surgical Endoscope Robot with Multi-Baseline Depth Map Fusion. Zhidong Tan, Rihui Song, Kai Huang |
| 2023 | Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation. Ziyang Wang, Meiwen Su, Jian-Qing Zheng, Yang Liu |
| 2023 | Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation. Anjie Wang, Zhijun Fang, Xiaoyan Jiang, Yongbin Gao, Gaofeng Cao, Siwei Ma |
| 2023 | Depth Map Estimation from Multi-View Images with Nerf-Based Refinement. Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki |
| 2023 | Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. Edouard Yvinec, Arnaud Dapogny, Kevin Bailly |
| 2023 | Detecting Stable Diffusion Generated Images Using Frequency Artifacts: A Case Study on Disney-Style Art. Junbin Zhang, Yixiao Wang, Hamid Reza Tohidypour, Panos Nasiopoulos |
| 2023 | Detection Transformer with Diversified Object Queries. Tharsan Senthivel, Ngoc-Son Vu, Boris Borzic |
| 2023 | Differential Enhanced Siamese Segmentation Network for Printed Label Defect Detection. Dongming Li, Yingjian Li, Jinxing Li, Guangming Lu |
| 2023 | DiffusionSTR: Diffusion Model for Scene Text Recognition. Masato Fujitake |
| 2023 | Display Power Modeling for Energy Consumption Control. Claire-Hélène Demarty, Laurent Blondé, Olivier Le Meur |
| 2023 | Distilling Knowledge of Bidirectional Language Model for Scene Text Recognition. Shota Orihashi, Yoshihiro Yamazaki, Mihiro Uchida, Akihiko Takashima, Ryo Masumura |
| 2023 | DoG Accuracy Via Equivariance: Get The Interpolation Right. Václav Vávra, Dmytro Mishkin, Jirí Matas |
| 2023 | Document Binarization with Multi-Branch Gated Convolutional Generative Adversarial Networks. Zongyuan Yang, Yongping Xiong, Guibin Wu |
| 2023 | Document Change Detection With Hierarchical Patch Comparison. Doyoung Park, Sunjin Kim, Minkyu Kim, Naresh Reddy Yarram, Seongho Joe, Youngjune Gwon, Jongwon Choi |
| 2023 | Dodging the Double Descent in Deep Neural Networks. Victor Quétu, Enzo Tartaglione |
| 2023 | Domain Adaptation in Power Line Segmentation: A New Synthetic Dataset. Georgios Kalitsios, Vasileios Mygdalis, Ioannis Pitas |
| 2023 | Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints. Xi Long, Jingxin Liu, Xianxu Hou |
| 2023 | Domain Generalization Method for Person Re-Id Using Metabin and Mixstyle. Sungyeon Park, Hyunhak Shin, Sangbin Yun, Seongyeop Yang, JeongEun Lim, Seungin Noh |
| 2023 | Domain invariant regularization by disentangling content and style Features for visual domain generalization. Behnam Gholami, Mostafa El-Khamy, Kee-Bong Song |
| 2023 | Domain-Generalized Face Anti-Spoofing with Unknown Attacks. Zong-Wei Hong, Yu-Chen Lin, Hsuan-Tung Liu, Yi-Ren Yeh, Chu-Song Chen |
| 2023 | Dual Temporal Transformers for Fine-Grained Dangerous Action Recognition. Wenfeng Song, Xingliang Jin, Yang Ding, Yang Gao, Xia Hou |
| 2023 | Dual Transformer Encoder Model for Medical Image Classification. Fangyuan Yan, Bin Yan, Mingtao Pei |
| 2023 | Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis. Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang |
| 2023 | Dynamic Point Cloud Compression Approach Using Hexahedron Segmentation. Faranak Tohidi, Manoranjan Paul |
| 2023 | Dynamic Range Transformer (DRT): Learning Enhanced Log-Perceptual Information with Swin-Fourier Convolution Network for HDR Imaging. Heunseung Lim, Joongchol Shin, Jinsol Choi, Joonki Paik |
| 2023 | Dynamic Unilateral Dual Learning for Text to Image Synthesis. Zhiqiang Zhang, Jiayao Xu, Ryugo Morita, Wenxin Yu, Jinjia Zhou |
| 2023 | ELEGAN: An Efficient Low Light Enhancement GAN for Unpaired Supervision. Rohit Choudhary, T. Harshith Reddy, Mansi Sharma |
| 2023 | Early Detection of Cars Exiting Road-Side Parking. Matossouwé Agninoube Tchalim, Sio-Song Ieng, Jean-Philippe Tarel |
| 2023 | Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI. Hossam Magdy Balaha, Sarah M. Ayyad, Ahmed Alksas, Ali E. Takieldeen, Mohamed A. Badawy, Mohamed Shehata, Mohamed Abou El-Ghar, Mohammed Ghazal, Ali Mahmoud, Sohail Contractor, Ayman El-Baz |
| 2023 | Edge Synthesis Block: A Building Unit for Real-Time Single Image Super Resolution. Subhasmita Sahoo, Kinsuk Das, Mohit Sharma, Sarvesh, Raj Narayana Gadde |
| 2023 | Efficient Aerial Image Object Detection with Imaging Condition Decomposition. Ren Jin, Zikai Jia, Zhaochen Chu |
| 2023 | Efficient Convolution and Transformer-based Network for Video Frame Interpolation. Issa Khalifeh, Luka Murn, Marta Mrak, Ebroul Izquierdo |
| 2023 | Efficient Joint Video Denoising and Super-Resolution. Yuning Huang, Tianqi Wang, Qian Lin, Jan P. Allebach, Fengqing Zhu |
| 2023 | Efficient Per-Shot Transformer-Based Bitrate Ladder Prediction for Adaptive Video Streaming. Ahmed Telili, Wassim Hamidouche, Sid Ahmed Fezza, Luce Morin |
| 2023 | Efficient Prediction of Model Transferability in Semantic Segmentation Tasks. Yang Tan, Yicong Li, Yang Li, Xiao-Ping Zhang |
| 2023 | Efficient Pruning Method for Learned Lossy Image Compression Models Based on Side Information. Weixuan Chen, Qianqian Yang |
| 2023 | Efficient Transfer by Robust Label Selection and Learning with Pseudo-Labels. Wyke Huizinga, Maarten Kruithof, Gertjan J. Burghouts, Klamer Schutte |
| 2023 | Efficient any-Target Backdoor Attack with Pseudo Poisoned Samples. Bin Huang, Zhi Wang |
| 2023 | Efficient-HDRTV: Efficient SDR to HDR Conversion for HDR TV. Joonsoo Kim, Kamal Jnawali, Chenguang Liu |
| 2023 | Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas |
| 2023 | Enabling the Encoder-Empowered GAN-based Video Generators for Long Video Generation. Jingbo Yang, Adrian G. Bors |
| 2023 | Encoder Complexity Control in SVT-AV1 by Speed-Adaptive Preset Switching. Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis, Zhijun Lei, Hassene Tmar, André Kaup, Christian Herglotz |
| 2023 | Encoding-Aware Deep Video Super-Resolution Framework. Sijung Kim, Ungwon Lee, MinYong Jeon |
| 2023 | End to End Generative Meta Curriculum Learning for Medical Data Augmentation. Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell |
| 2023 | End-to-End Learned Light Field Image Rescaling Using Joint Spatial-Angular and Epipolar Information. Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon |
| 2023 | End-to-End Trainable Weakly Non-Negative Factorization. Takumi Kobayashi, Kenji Watanabe |
| 2023 | Endoscopic Feature Enhancement for Stomach 3D Reconstruction without Dyeing. Ting-Yu Wei, Ming-Lun Han, Wei-Chih Liao, Kuang-Chen Yen, Shyh-Jye Chen, Homer H. Chen |
| 2023 | Enhanced Temporal Motion Derivation Beyond VVC. Lei Zhao, Kai Zhang, Li Zhang |
| 2023 | Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in Ct Images. Hao Qi, Jiabao Jin, Gang Ding, Xiangxing Chen, Sunkui Ke, Yinran Chen, Xiongbiao Luo |
| 2023 | Enhancing Low-Light Images Using Infrared Encoded Images. Shulin Tian, Yufei Wang, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen |
| 2023 | Enhancing Next Active Object-Based Egocentric Action Anticipation with Guided Attention. Sanket Kumar Thakur, Cigdem Beyan, Pietro Morerio, Vittorio Murino, Alessio Del Bue |
| 2023 | Enhancing Targeted Transferability Via Suppressing High-Confidence Labels. Hui Zeng, Tong Zhang, Biwei Chen, Anjie Peng |
| 2023 | Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm Regularization. Akari Katsuma, Seisuke Kyochi, Shunsuke Ono, Ivan W. Selesnick |
| 2023 | Error Concealment for Scalable Video Coding Based on Deformable Convolution Network. Zhao Wang, Yifeng Yang, Hao Zhang |
| 2023 | Estimated Depth Based Progressive Interactive Framework for RGB Salient Object Detection in Images. Sudipta Bhuyan, Ashish Verma, Debashis Sen, Sankha Deb |
| 2023 | Event Data Stream Compression Based on Point Cloud Representation. Bowen Huang, Touradj Ebrahimi |
| 2023 | Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising. Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, Shigeo Morishima |
| 2023 | Exploring Anatomical Similarity in Cardiac-Gated Spect Images for A Deep Learning Network. Xirang Zhang, Yongyi Yang, P. Hendrik Pretorius, Michael A. King |
| 2023 | Exploring Diffusion Models for Unsupervised Video Anomaly Detection. Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci |
| 2023 | Exploring Effective Knowledge Distillation for Tiny Object Detection. Haotian Liu, Qing Liu, Yang Liu, Yixiong Liang, Guoying Zhao |
| 2023 | Exploring Self-Supervised Representation Learning for Low-Resource Medical Image Analysis. Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag, Samiran Chattopadhyay |
| 2023 | Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers. William Piat, Jalal Fadili, Frédéric Jurie |
| 2023 | FEDMBP: Multi-Branch Prototype Federated Learning on Heterogeneous Data. Tianrun Gao, Xiaohong Liu, Yuning Yang, Guangyu Wang |
| 2023 | FGC-VC: Flow-Guided Context Video Compression. Yiming Wang, Qian Huang, Bin Tang, Huashan Sun, Xiaotong Guo |
| 2023 | FGCVQA: Fine-Grained Cross-Attention for Medical VQA. Ziheng Wu, Xinyao Shu, Shiyang Yan, Zhenyu Lu |
| 2023 | FPGA-Accelerated HEVC Encoder for Energy-Efficient Multi-Access Edge Computing. Panu Sjövall, Alexandre Mercat, Jarno Vanne |
| 2023 | Face Photo-Sketch Synthesis Via Domain-Invariant Feature Embedding. Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim |
| 2023 | Facet-Level Segmentation of 3d Textures on Cultural Heritage Objects. Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Muhammad Owais, Neha Gour, Sajid Javed, Naoufel Werghi |
| 2023 | Facial Expression Recognition Using Light Field Cameras: A Comparative Study of Deep Learning Architectures. Sabrine Djedjiga Oucherif, Mohamad Motasem Nawaf, Jean-Marc Boï, Lionel Nicod, Djamal Merad, Séverine Dubuisson |
| 2023 | False Correspondence Removal via Revisiting Semantic Context with Position-Attentive Learning. Ruiyuan Li, Zhaolin Xiao, Meng Zhang, Haonan Su, Haiyan Jin |
| 2023 | Fast Learning-Based Split Type Prediction Algorithm for VVC. Dayong Wang, Liulin Chen, Xin Lu, Frédéric Dufaux, Weisheng Li, Ce Zhu |
| 2023 | Fast Optimal Transport for Latent Domain Adaptation. Siddharth Roheda, Ashkan Panahi, Hamid Krim |
| 2023 | Fast QTMT Partition for VVC Intra Coding Using U-Net Framework. Zhao Zan, Leilei Huang, ShuShi Chen, Xiantao Zhang, Zhenghui Zhao, Haibing Yin, Yibo Fan |
| 2023 | Fast-Convergent Federated Learning via Cyclic Aggregation. Youngjoon Lee, Sangwoo Park, Joonhyuk Kang |
| 2023 | Fat: Field-Aware Transformer for 3D Point Cloud Semantic Segmentation. Junjie Zhou, Yongping Xiong, Chinwai Chiu, Fangyu Liu, Xiangyang Gong |
| 2023 | Feature Adversarial Distillation for Point Cloud Classification. Yuxing Lee, Wei Wu |
| 2023 | Feature Enhancement and Fusion for RGB-T Salient Object Detection. Fengming Sun, Kang Zhang, Xia Yuan, Chunxia Zhao |
| 2023 | Feature Fusion Enhanced Super Resolution for Low Bitrate Screen Content Compression. Tong Tang, Xin Zhang, Zhidu Li, Jing Yang |
| 2023 | Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | Feature Space Data Augmentation for Viewpoint-Robust Action Recognition in Videos. Carla Geara, Aleksandr Setkov, Astrid Orcesi, Bertrand Luvison |
| 2023 | Feature Structure Similarity Index for Hybrid Human and Machine Vision. Yongbing Lin, Lei Wan, Sha Ma, Peike Zhang |
| 2023 | Feature-Aware Prohibited Items Detection for X-Ray Images. Hongyu Liao, Bin Huang, Hongxia Gao |
| 2023 | Feature-Domain Proximal High-Dimensional Gradient Descent Network for Image Compressed Sensing. Ziwen Liang, Chunling Yang |
| 2023 | Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer. Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong |
| 2023 | Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System. Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong |
| 2023 | Few-Shot Lip-Password Based Speaker Verification. Zhikai Hu, Yiu-ming Cheung, Mengke Li, Weichao Lan |
| 2023 | Fibonet: A Light-weight and Efficient Neural Network for Image Segmentation. Ruohao Wu, Xi Xiao, Guangwu Hu, Hanqing Zhao, Han Zhang, Yongqing Peng |
| 2023 | Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly |
| 2023 | Film Grain Removal Using Metadata. Tsung-Wei Huang, Guan-Ming Su, Peng Yin |
| 2023 | Finalization of VVenC's Screen Content Detector and Two-Pass Rate Control Using Pre-Filtering Statistics. Christian R. Helmrich, Anastasia Henkel, Tobias Hinz, Adam Wieckowski, Benjamin Bross, Detlev Marpe |
| 2023 | Finding Camouflaged Object Guided by Contour and Attention. Junjie Cui, Fengming Sun, Xia Yuan |
| 2023 | Fine-to-Coarse Object Classification of Very Large Images. Zeinab Hakimi, Vijaykrishnan Narayanan |
| 2023 | Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping. Ping-Yang Chen, Jun-Wei Hsieh, Ming-Ching Chang, Munkhjargal Gochoo, Fang-Pang Lin, Yong-Sheng Chen |
| 2023 | Flash Compensated Low-Light Enhancement Via Hierarchical Network Prediction. Haowei Kuang, Haofeng Huang, Wenhan Yang, Jiaying Liu |
| 2023 | Flow-Based One-Class Anomaly Detection with Multi-Frequency Feature Fusion. Wei Ma, Shiyong Lan, Weikang Huang, Yitong Ma, Hongyu Yang, Wei Pan, Yilin Zheng |
| 2023 | Flow-Guided Deformable Attention Network for Fast Online Video Super-Resolution. Xi Yang, Xindong Zhang, Lei Zhang |
| 2023 | Flow-Guided Transformer for Video Colorization. Yan Zhai, Zhulin Tao, Longquan Dai, He Wang, Xianglin Huang, Lifang Yang |
| 2023 | Forward Diffusion Guided Reconstruction as a Multi-Modal Multi-Task Learning Scheme. Najibul Haque Sarker, M. Sohel Rahman |
| 2023 | Fourier Series and Laplacian Noise-Based Quantization Error Compensation for End-to-End Learning-Based Image Compression. Shiqi Jiang, Hui Yuan, Shuai Li, Xiaolong Mao |
| 2023 | Frequency Disentangled Features in Neural Image Compression. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi |
| 2023 | Frequency Enhancement Network for Efficient Compressed Video Action Recognition. Yue Ming, Lu Xiong, Xia Jia, Qingfang Zheng, Jiangwan Zhou, Fan Feng, Nannan Hu |
| 2023 | Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression. Yun Ye, Yanjie Pan, Qually Jiang, Ming Lu, Xiaoran Fang, Beryl Xu |
| 2023 | From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills. Rohan Raju Dhanakshirur, Varidh Katiyar, Ravi Sharma, Ashish Suri, Prem Kumar Kalra, Chetan Arora |
| 2023 | Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation. D. Campagnolo, Elena Camuffo, Umberto Michieli, Paolo Borin, Simone Milani, Andrea Giordano |
| 2023 | Fully Automatic Cervical Vertebrae Segmentation Via Enhanced U Fan Zhang, Linya Zheng, Yinran Chen, Chen Lin, Liping Huang, Yuming Bai, Xiongbiao Luo |
| 2023 | Functional Knowledge Transfer with Self-supervised Representation Learning. Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki |
| 2023 | Fusing Explicit and Implicit Flow for Optical Flow Estimation. Hyunse Yoon, Seongmin Lee, Sanghoon Lee |
| 2023 | Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction. Majed El Helou |
| 2023 | GAITMM: Multi-Granularity Motion Sequence Learning for Gait Recognition. Lei Wang, Bo Liu, Bincheng Wang, Fuqiang Yu |
| 2023 | GMML is All You Need. Sara Atito, Muhammad Awais, Srinivasa Rao Nandam, Josef Kittler |
| 2023 | GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty. Tao Wu, Tie Luo, Donald C. Wunsch |
| 2023 | GPCGC: A Green Point Cloud Geometry Coding Method. Qingyang Zhou, Shan Liu, C.-C. Jay Kuo |
| 2023 | GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification. Dipankar Das, Deepak Ranjan Nayak |
| 2023 | Generalizable Embeddings with Cross-Batch Metric Learning. Yeti Ziya Gürbüz, A. Aydin Alatan |
| 2023 | Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning. Nikolaos Karaliolios, Florian Chabot, Camille Dupont, Hervé Le Borgne, Quoc Cuong Pham, Romaric Audigier |
| 2023 | Geometric Magnification-based Attention Graph Convolutional Network for Skeleton-based Micro-Gesture Recognition. Haolin Jiang, Wenming Zheng, Yuan Zong, Xiaolin Xu, Xingxun Jiang, Yunlong Xue |
| 2023 | Geometric Prior-Assisted Feature Presentation Enhancement for Object Detection in Aerial Images. Renjie Huang, Ziruo Liu, Jichuan Chen, Yangguang Shi, Guoqiang Xiao |
| 2023 | Geometry-Aware Video Quality Assessment for Dynamic Digital Human. Zicheng Zhang, Yingjie Zhou, Wei Sun, Xiongkuo Min, Guangtao Zhai |
| 2023 | Global Balanced Networks for Multi-View Stereo. Bin Wang, Boyang Zhang, Zhijian Duan, Xueming Wang |
| 2023 | Global-Local Awareness Network for Image Super-Resolution. Pin-Chi Pan, Tzu-Hao Hsu, Wen-Li Wei, Jen-Chun Lin |
| 2023 | Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence. Korcan Uyanik, S. Faegheh Yeganli, Ivan V. Bajic |
| 2023 | Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation. Junjie Zou, Ming Shao, Siyu Xia |
| 2023 | Grid-Transformer for Few-Shot Hyperspectral Image Classification. Ying Guo, Mingyi He, Bin Fan |
| 2023 | Group Masked Model Learning for General Audio Representation. Sara Atito, Muhammad Awais, Tony Alex, Josef Kittler |
| 2023 | HDR-LMDA: A Local Area-Based Mixed Data Augmentation Method for Hdr Video Reconstruction. Fengshan Zhao, Qin Liu, Takeshi Ikenaga |
| 2023 | HDTC: Hybrid Model of Dual-Transformer and Convolutional Neural Network from RGB-D for Detection of Lettuce Growth Traits. Zhengxian Wu, Xingpeng Liu, Yiming Xue, Juan Wen, Wanli Peng |
| 2023 | HER2-Sish Histopathology Image Classification Using Deep Neural Networks. Choo Hui Tan, Wei Jie Lim, Wan Siti Halimatul Munirah Wan Ahmad, Lai-Kuan Wong, Zaka Ur Rehman, Lai-Meng Looi, Phaik-Leng Cheah, Toh Yen Fa, Mohammad Faizal Ahmad Fauzi |
| 2023 | HI-RES ACG: Towards High-Resolution Anime Characters Generation. Qianping Jia, Xiuyu Wang, Ruifeng Zhang |
| 2023 | HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression Scheme. Xiaoqi Ma, Yingzhan Xu, Xinfeng Zhang, Lv Tang, Kai Zhang, Li Zhang |
| 2023 | HOKEM: Human and Object Keypoint-Based Extension Module for Human-Object Interaction Detection. Yoshiki Ito |
| 2023 | HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation. Gangyi Hong, Fangshi Wang, Senmao Tian, Ming Lu, Jiaming Liu, Shunli Zhang |
| 2023 | HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation. Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo |
| 2023 | Half of an Image is Enough for Quality Assessment. Junyong You, Yuan Lin, Jari Korhonen |
| 2023 | Hands in Focus: Sign Language Recognition Via Top-Down Attention. Noha A. Sarhan, Christian Wilms, Vanessa Closius, Ulf Brefeld, Simone Frintrop |
| 2023 | Hard Samples Based Margin Loss for Face Verification. Xiaying Bai, Wenxian Zheng, Wenming Yang, Guijin Wang, Qingmin Liao |
| 2023 | Heterogeneous Image Change Detection Based on Deep Image Translation and Feature Refinement-Aggregation. Tianrui Zhao, Lu Wang, Chunhui Zhao, Tian Liu, Tomoaki Ohtsuki |
| 2023 | Hierarchical Arithmetic Coding of Displacements for Dynamic Mesh Compression. Hitoshi Nishimura, Haruhisa Kato, Kei Kawamura |
| 2023 | Hierarchical Conditional Semi-Paired Image-to-Image Translation for Multi-Task Image Defect Correction on Shopping Websites. Moyan Li, Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Jia Liu, Bryan Wang |
| 2023 | Hierarchical Feature Fusion Transformer for No-Reference Image Quality Assessment. Zesheng Wang, Wei Wu, Liang Yuan, Wei Sun, Ying Chen, Kai Li, Guangtao Zhai |
| 2023 | Hierarchical Multi-task Learning via Task Affinity Groupings. Siddharth Srivastava, Swati Bhugra, Vinay Kaushik, Brejesh Lall |
| 2023 | Hierarchical Terrain Attention and Multi-Scale Rainfall Guidance for Flood Image Prediction. Feifei Wang, Yong Wang, Bing Li, Qidong Huang, Shaoqing Chen |
| 2023 | High Dynamic Range Image Tone Mapping Based on Layer Decomposition and Image Fusion. Xueyu Han, Susanto Rahardja |
| 2023 | High Dynamic Range Imaging with Multi-Exposure Binning on Quad Bayer Color Filter Array. Tianran Wu, Kenjiro Sugimoto, Masayuki Tanaka, Yusuke Oguro |
| 2023 | High-Accuracy Gesture Recognition using Mm-Wave Radar Based on Convolutional Block Attention Module. Yuqing Song, Longwen Wu, Yaqin Zhao, Puqiu Liu, Ruchen Lv, Hikmat Ullah |
| 2023 | High-Precision Motion Vector Refinement for Bi-Directional Optical Flow. Mehdi Salehifar, Yuwen He, Kai Zhang, Li Zhang |
| 2023 | High-Throughput and Multiplierless Hardware Design for the AV1 Local Warped MC Interpolation. Robson Domanski, William Kolodziejski, Wagner Penny, Marcelo Schiavon Porto, Bruno Zatt, Luciano Agostini |
| 2023 | Hinting Pipeline and Multivariate Regression CNN for Maize Kernel Counting on the Ear. Felipe Araújo, Igor Gadelha, Rodrigo Tsukahara, Luiz Pita, Filipe Costa, Igor Vaz, Andreza Santos, Guilherme Folego |
| 2023 | Human-interpretable and deep features for image privacy classification. Darya Baranouskaya, Andrea Cavallaro |
| 2023 | Hybrid Contrastive Prototypical Network for Few-Shot Scene Classification. Junjie Zhu, Ke Yang, Chunping Qiu, Mengyuan Dai, Naiyang Guan, Xiaodong Yi |
| 2023 | ICCL: Self-Supervised Intra- and Cross-Modal Contrastive Learning with 2D-3D Pairs for 3D Scene Understanding. Kyota Higa, Masahiro Yamaguchi, Toshinori Hosoi |
| 2023 | IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023 |
| 2023 | IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan |
| 2023 | Image Coding Via Perceptually Inspired Graph Learning. Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega |
| 2023 | Image Dehazing Guided by Low-Pass Reinforced Airlight. Codruta O. Ancuti, Cosmin Ancuti, Christophe De Vleeschouwer |
| 2023 | Image Inpainting by Mscswin Transformer Adversarial Autoencoder. Bo-Wei Chen, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2023 | Image Inpainting with Information Loss Reduction and Texture-Structure Feature Fusion. Fang Long, Yuan-Gen Wang |
| 2023 | Image Stitching Based on Multi-Scale Meshes. Yixuan Li, Haotian Zhao, Qi Jia, Nan Pu |
| 2023 | Image Translation-Based Deniable Encryption against Model Extraction Attack. Yiling Chen, Yuanzhi Yao, Nenghai Yu |
| 2023 | Image-Coupled Volume Propagation for Stereo Matching. Oh-Hun Kwon, Eduard Zell |
| 2023 | Imbalance-Aware Adaptive Margin Loss for Fair Multi-Label Face Attribute Recognition. Masashi Usami, Koichi Takahashi, Akihiro Hayasaka |
| 2023 | Implicit Attention-Based Cross-Modal Collaborative Learning for Action Recognition. Jianghao Zhang, Xian Zhong, Wenxuan Liu, Kui Jiang, Zhengwei Yang, Zheng Wang |
| 2023 | Imposing Total Variation Prior Into Guided Filter. Yuanhao Gong |
| 2023 | Improve Unsupervised Deep Hashing Via Masked Contrastive Learning. Chuang Zhao, Hefei Ling, Shijie Lu, Yuxuan Shi, Ping Li, Qiang Cao |
| 2023 | Improvement of Image Segmentation Model for Handwritten Notebook Analytics. Yunyu Zhou, Tsubasa Minematsu, Atsushi Shimada |
| 2023 | Improving Adversarial Transferability Via Feature Translation. Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim |
| 2023 | Improving CNN-based Person Re-identification using score Normalization. Ammar Chouchane, Abdelmalik Ouamane, Yassine Himeur, Wathiq Mansoor, Shadi Atalla, Afaf Benzaibak, Chahrazed Boudellal |
| 2023 | Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features. Mehdi Atamna, Iuliia Tkachenko, Serge Miguet |
| 2023 | Improving Learned Invertible Coding with Invertible Attention and Back-Projection. Zheng Yang, Ronggang Wang |
| 2023 | Improving Nerf with Height Data for Utilization of GIS Data. Hinata Aoki, Takao Yamanaka |
| 2023 | Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method. Cuixin Yang, Jun Xiao, Yakun Ju, Guoping Qiu, Kin-Man Lam |
| 2023 | Improving Spherical Image Resampling Through Viewport-Adaptivity. Andy Regensky, Viktoria Heimann, Ruoyu Zhang, André Kaup |
| 2023 | Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding. Kensuke Mukai, Takao Yamanaka |
| 2023 | Improving Video Colorization by Test-Time Tuning. Yaping Zhao, Haitian Zheng, Jiebo Luo, Edmund Y. Lam |
| 2023 | Inductive Graph Neural Networks for Moving Object Segmentation. Wieke Prummel, Jhony H. Giraldo, Anastasia Zakharova, Thierry Bouwmans |
| 2023 | Inference Acceleration of Deep Learning Classifiers Based on RNN. Fekhr Eddine Keddous, Nadiya Shvai, Arcadi Llanza, Amir Nakib |
| 2023 | Infrared Small Target Detection Based on Saliency Guided Multi-Task Learning. Zhaoying Liu, Junran He, Yuxiang Zhang, Ting Zhang, Ziqing Han, Bo Liu |
| 2023 | Integer Quantized Learned Image Compression. Geun-Woo Jeon, SeungEun Yu, Jong-Seok Lee |
| 2023 | Intelligent Painter: Picture Composition with Resampling Diffusion Model. Wing-Fung Ku, Wan-Chi Siu, Xi Cheng, H. Anthony Chan |
| 2023 | Inter-Frame Coding for Dynamic Meshes Via Temporally-Consistent Re-Meshing. Xudong Jin, Jianfeng Xu, Kei Kawamura |
| 2023 | Inter-Scale Sure-Let Image Restoration with Deep Unrolled Image Prior. Jikai Li, Shogo Muramatsu |
| 2023 | Interpretable Visual Question Answering Referring to Outside Knowledge. He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | Interpretable Visual Question Answering Via Reasoning Supervision. Maria Parelli, Dimitrios Mallis, Markos Diomataris, Vassilis Pitsikalis |
| 2023 | Interpreting Convolutional Neural Networks by Explaining Their Predictions. Toon Meynen, Hamed Behzadi-Khormouji, José Oramas |
| 2023 | Interpreting Latent Representation in Neural Radiance Fields for Manipulating Object Semantics. Yu-Shan Huang, Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang |
| 2023 | Introducing A Framework for Single-Human Tracking Using Event-Based Cameras. Dominik Eisl, Fabian Herzog, Jean-Luc Dugelay, Ludovic Apvrille, Gerhard Rigoll |
| 2023 | It Wasn't Me: Irregular Identity in Deepfake Videos. Honggu Liu, Paolo Bestagini, Lin Huang, Wenbo Zhou, Stefano Tubaro, Weiming Zhang, Nenghai Yu |
| 2023 | JPEG Compliant Compression for DNN Vision. Kaixiang Zheng, Ahmed H. Salamah, Linfeng Ye, En-Hui Yang |
| 2023 | JPEG Information Regularized Deep Image Prior for Denoising. Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda |
| 2023 | JPEG Pleno Learning-Based Point Cloud Coding: A Performance Analysis. João Prazeres, Rafael Rodrigues, Manuela Pereira, António M. G. Pinheiro |
| 2023 | JPEG Pleno Light Field Encoder with Mesh based View Warping. Yue Li, Reji Mathew, David Taubman |
| 2023 | Joint Demosaicing and Denoising with Gradient Guidance in Quad Bayer CFA. Xun Wu, Yaqi Wu, Jiawei Zhang, Feng Zhang, Jimmy S. J. Ren |
| 2023 | Joint Optimized Point Cloud Compression for 3d Object Detection. Bojun Liu, Shanshan Li, Xihua Sheng, Li Li, Dong Liu |
| 2023 | Joint Probability Distribution Regression for Image Cropping. Tengfei Shi, Chenglizhao Chen, Yuanbo He, Wenfeng Song, Aimin Hao |
| 2023 | Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction. Shaocong Yu, Xueye Chu, Zhenglin Zhou, Jiefeng Guo, Xinghao Ding |
| 2023 | KD-Fixmatch: Knowledge Distillation Siamese Neural Networks. Chien-Chih Wang, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Bryan Wang |
| 2023 | Keypoints Dictionary Learning for Fast and Robust Alignment. Aitor Artola, Yannis Kolodziej, Jean-Michel Morel, Thibaud Ehret |
| 2023 | L2fusion: Low-Light Oriented Infrared and Visible Image Fusion. Xiang Gao, Guohua Lv, Aimei Dong, Zhonghe Wei, Jinyong Cheng |
| 2023 | LDCformer: Incorporating Learnable Descriptive Convolution to Vision Transformer for Face Anti-Spoofing. Pei-Kai Huang, Cheng-Hsuan Chiang, Jun-Xiong Chong, Tzu-Hsien Chen, Hui-Yu Ni, Chiou-Ting Hsu |
| 2023 | LGSQE: Lightweight Generated Sample Quality Evaluation. Ganning Zhao, Vasileios Magoulianitis, Suya You, C.-C. Jay Kuo |
| 2023 | LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia |
| 2023 | LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. Jiawei Xu, Zongqing Lu, Qingmin Liao |
| 2023 | LLDE: Enhancing Low-Light Images with Diffusion Model. Xin Peng Ooi, Chee Seng Chan |
| 2023 | LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method. Chenxu Li, Jingwan Fang, Rui Hu, Jianan Cui, Huafeng Liu |
| 2023 | LSR: A Light-Weight Super-Resolution Method. Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo |
| 2023 | LT-ViT: A Vision Transformer for Multi-Label Chest X-Ray Classification. Umar Marikkar, Sara Atito, Muhammad Awais, Adam Mahdi |
| 2023 | Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning. Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki |
| 2023 | Language Identification as Improvement for Lip-Based Biometric Visual Systems. Lucia Cascone, Michele Nappi, Fabio Narducci |
| 2023 | Laptran: Transformer Embedding Graph Laplacian for Point Cloud Part Segmentation. Abiao Li, Chenlei Lv, Yuming Fang, Yifan Zuo |
| 2023 | Latent-Shift: Gradient of Entropy Helps Neural Codecs. Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier |
| 2023 | LatentPatch: A Non-Parametric Approach for Face Generation and Editing. Benjamin Samuth, Julien Rabin, David Tschumperlé, Frédéric Jurie |
| 2023 | Learn More: Sub-Significant Area Learning for Fine-Grained Visual Classification. Weiyao Pan, Shengying Yang, Xiaohong Qian, Jingsheng Lei, Shuai Zhang |
| 2023 | Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation. Jie Song, Ziyun Cai, Yurong Song, Guoping Jiang, Zhichao Lian, Liang Xiao |
| 2023 | Learned Image Compression Guided Adaptive Quantization for Perceptual Quality. Cheng Chen, Ruiqi Geng, Bohan Li, Maryla Ustarroz-Calonge, Frank Galligan, Jingning Han, Yaowu Xu |
| 2023 | Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation. Xiandong Meng, Shuyuan Zhu, Siwei Ma, Bing Zeng |
| 2023 | Learned Image Compression with Multi-Scan Based Channel Fusion. Yuan Li, Weilian Zhou, Pengfeng Lu, Sei-ichiro Kamata |
| 2023 | Learning Disentangled Features for Nerf-Based Face Reconstruction. Peizhi Yan, Rabab Ward, Dan Wang, Qiang Tang, Shan Du |
| 2023 | Learning Extended Depth of field Hyperspectral Imaging. Erdem Sahin, Ugur Akpinar, Ayoung Kim, Atanas P. Gotchev |
| 2023 | Learning Multi-Scale Features for Jpeg Image Artifacts Removal. Jiahuan Ji, Baojiang Zhong, Weigang Song, Kai-Kuang Ma |
| 2023 | Learning Mutually in Crowd Scenes for Pedestrian Detection. Ruonan Wei, Yuehuan Wang, Jinpu Zhang |
| 2023 | Learning Raw Image Denoising Using a Parametric Color Image Model. Raphaël Achddou, Yann Gousseau, Saïd Ladjal |
| 2023 | Learning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation. Lili Zhao, Zhuoqun Sun, Lancao Ren, Qian Yin, Lei Yang, Meng Guo |
| 2023 | Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis. Jianghao Shen, Tianfu Wu |
| 2023 | Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis. Jianghao Shen, Tianfu Wu |
| 2023 | Learning Torso Prior for Co-Speech Gesture Generation with Better Hand Shape. Hexiang Wang, Fengqi Liu, Ran Yi, Lizhuang Ma |
| 2023 | Learning to Draw Through A Multi-Stage Environment Model Based Reinforcement Learning. Ji Qiu, Peng Lu, Xujun Peng |
| 2023 | Learning-Based Rate Control for Learning-Based Point Cloud Geometry Coding. Manuel Ruivo, André F. R. Guarda, Fernando Pereira |
| 2023 | Learnt Deep Hyperparameter Selection in Adversarial Training for Compressed Video Enhancement with a Perceptual Critic. Darren Ramsook, Anil C. Kokaram |
| 2023 | Leveraging Efficient Training and Feature Fusion in Transformers for Multimodal Classification. Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen |
| 2023 | Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation. Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg |
| 2023 | Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation. Qiqi Gao, Wanjun Zhong, Jie Li, Tiejun Zhao |
| 2023 | Lightweight CNN-Based in-Loop Filter for VVC Intra Coding. Hao Zhang, Cheolkon Jung, Yang Liu, Ming Li |
| 2023 | Lightweight Deep Deblurring Model with Discriminative Multi-Scale Feature Fusion. Jiangtao Lv, Jinshan Pan |
| 2023 | Lightweight Multi-View-Group Neural Network for 3D Shape Classification. Jiaqi Sun, Dongmei Niu, Na Lv, Wentao Dou, Jingliang Peng |
| 2023 | Lightweight Network Towards Real-Time Image Denoising On Mobile Devices. Zhuoqun Liu, Meiguang Jin, Ying Chen, Huaida Liu, Canqian Yang, Hongkai Xiong |
| 2023 | Lite-HRNet Plus: Fast and Accurate Facial Landmark Detection. Sota Kato, Kazuhiro Hotta, Yuhki Hatakeyama, Yoshinori Konishi |
| 2023 | Llieformer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model. Xunpeng Yi, Yuxuan Wang, Yizhen Zhao, Jia Yan, Weixia Zhang |
| 2023 | Local Context and Dimensional Relation Aware Transformer Network for Continuous Affect Estimation. Shuo Yang, Yongtang Bao, Yue Qi |
| 2023 | Local Texture Complexity Guided Adversarial Attack. Jiefei Zhang, Jie Wang, Wanli Lyu, Zhaoxia Yin |
| 2023 | Local-Aware Intra Template Matching Prediction. Yang Wang, Kai Zhang, Li Zhang |
| 2023 | Local-Global Contrast for Learning Voice-Face Representations. Guangyu Chen, Deyuan Zhang, Tao Liu, Xiaoyong Du |
| 2023 | Locally Accumulated Adam For Distributed Training With Sparse Updates. Yiming Chen, Nikos Deligiannis |
| 2023 | Long-Tailed Federated Learning Via Aggregated Meta Mapping. Pinxin Qian, Yang Lu, Hanzi Wang |
| 2023 | Lossy LiDAR Point Cloud Compression via Cylindrical 3D Convolution Networks. Yelang Gao, Pingping Zhang, Xu Wang |
| 2023 | Low Light RGB and IR Image Fusion with Selective CNN-Transformer Network. Haiyan Jin, Yue Yang, Haonan Su, Zhaolin Xiao, Bin Wang |
| 2023 | Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial Learning. Xiaoteng Chen, Junying Chen |
| 2023 | Luminance-Preserving Visible and Near-Infrared Image Fusion Network with Edge Guidance. Ruoxi Zhu, Yi Ling, Xiankui Xiong, Dong Xu, Xuanpeng Zhu, Yibo Fan |
| 2023 | M3FPolypSegNet: Segmentation Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images. Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany, Yerim Jung, Yu-Han Im, Sang-Chul Lee |
| 2023 | MCTE: Marrying Convolution and Transformer Efficiently for End-to-End Medical Image Segmentation. Jiuqiang Li |
| 2023 | MDFD: Study of Distributed Non-IID Scenarios and Frechet Distance-Based Evaluation. Wei Wang, Mingwei Zhang, Ziwen Wu, Qianxi Chen, Yue Li |
| 2023 | MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification. He Li, Yuxuan Shi, Hefei Ling, Zongyi Li, Runsheng Wang, Chengxin Zhao, Ping Li |
| 2023 | MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li |
| 2023 | MGT-PC: Memory-Guided Transformer For Robust Point Cloud Classification. Huanhuan Lv, Songru Jiang, Yiming Sun, Jia Liu, Zhiyu Chen, Lijun Chen |
| 2023 | MQ-Coder Inspired Arithmetic Coder for Synthetic DNA Data Storage. Xavier Pic, Melpomeni Dimopoulou, Eva Gil San Antonio, Marc Antonini |
| 2023 | MSV-RGNN: Multiscale Voxel Graph Neural Network for 3D Object Detection. Wonjoon Lee, Sungmin Woo, Donghyeong Kim, Sangyoun Lee |
| 2023 | MTJND: Multi-Task Deep Learning Framework for Improved JND Prediction. Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi, Moncef Gabbouj |
| 2023 | Machine Learning Detects a Biopsy Needle in Ultrasound Images. Agata M. Wijata, Jakub Nalepa |
| 2023 | Machine-Attention-based Video Coding for Machines. Yegi Lee, Shin Kim, Kyoungro Yoon, Hanshin Lim, Sangwoon Kwak, Hyon-Gon Choo |
| 2023 | Map-Informed Unrolled Algorithms for Hyper-Parameter Estimation. Pascal Nguyen, Emmanuel Soubies, Caroline Chaux |
| 2023 | Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans. Xinxin Dai, Ran Zhao, Pengpeng Hu, Vasile Palade, Adrian Munteanu |
| 2023 | Metagrad: Adaptive Gradient Quantization with Hypernetworks. Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin |
| 2023 | Micro-Expression Recognition with Layered Relations and More Input Frames. Pinyi Huang, Lei Wang, Tianfu Cai, Kehua Guo |
| 2023 | Mining False Positive Examples for Text-Based Person Re-Identification. Wenhao Xu, Zhiyin Shao, Changxing Ding |
| 2023 | Mitigating Dataset Bias in Image Captioning Through Clip Confounder-Free Captioning Network. Yeonju Kim, Junho Kim, Byung-Kwan Lee, Sebin Shin, Yong Man Ro |
| 2023 | Mix-Net: Automatic Segmentation of Covid-19 ct Images Based on Parallel Design. Aimei Dong, Ruixin Wang, Guohua Lv, Guixin Zhao, Yi Zhai |
| 2023 | Modality Meets Long-Term Tracker: A Siamese Dual Fusion Framework for Tracking UAV. Zhihao Zhang, Lei Jin, Shengjie Li, Jianqiang Xia, Jun Wang, Zun Li, Zheng Zhu, Wenhan Yang, Pengfei Zhang, Jian Zhao, Bo Zhang |
| 2023 | Modality-Aware Ood Suppression Using Feature Discrepancy for Multi-Modal Emotion Recognition. Dohee Kang, Somang Kang, Dae Ha Kim, Byung Cheol Song |
| 2023 | Model Doctor for Diagnosing and Treating Segmentation Error. Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song |
| 2023 | Model-Agnostic Visual Explanations via Approximate Bilinear Models. Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis |
| 2023 | Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks. Samuel Leventhal, Attila Gyulassy, Valerio Pascucci, Mark Heimann |
| 2023 | Modeling and Interpreting 6-D Object Pose Estimation. Diego Soler, Roberto Hirata, Mateus Espadoto |
| 2023 | More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning. Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh |
| 2023 | Motion Plane Adaptive Motion Modeling for Spherical Video Coding in H.266/VVC. Andy Regensky, Christian Herglotz, André Kaup |
| 2023 | Multi Hybrid Extractor Network for 3D Human Pose Estimation. Zhixiang Yuan, Xitie Zhang, Suping Wu, Boyang Zhang, Yuxin Peng, Bing Wang |
| 2023 | Multi Task-Based Facial Expression Synthesis with Supervision Learning and Feature Disentanglement of Image Style. Wenya Lu, Zhibin Peng, Cheng Luo, Weicheng Xie, Jiajun Wen, Zhihui Lai, Linlin Shen |
| 2023 | Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework. Oluwatunmise Akinniyi, Imran Razzak, Md Mahmudur Rahman, Harpal Sandhu, Ayman El-Baz, Fahmi Khalifa |
| 2023 | Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie |
| 2023 | Multi-Exit Vision Transformer with Custom Fine-Tuning for Fine-Grained Image Recognition. Tianyi Shen, Chonghan Lee, Vijaykrishnan Narayanan |
| 2023 | Multi-Label Adversarial Attack Based on Label Correlation. Mingzhi Ma, Weijie Zheng, Wanli Lv, Lu Ren, Hang Su, Zhaoxia Yin |
| 2023 | Multi-Modal Hierarchical Attention-Based Dense Video Captioning. Hemalatha Munusamy, C. Chandra Sekhar |
| 2023 | Multi-Object Tracking as Attention Mechanism. Hiroshi Fukui, Taiki Miyagawa, Yusuke Morishita |
| 2023 | Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring. Cheng-Yen Yang, Alan Yu Shyang Tan, Melanie J. Underwood, Charlotte Bodie, Zhongyu Jiang, Steve George, Karl Warr, Jenq-Neng Hwang, Emma Jones |
| 2023 | Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression. Mustafa Akin Yilmaz, O. Ugur Ulas, A. Murat Tekalp |
| 2023 | Multi-Scale Temporal Feature Fusion for Few-Shot Action Recognition. Jun-Tae Lee, Sungrack Yun |
| 2023 | Multi-Scale Transformer Network for Saliency Prediction on 360-Degree Images. Xu Lin, Chunmei Qing, Junpeng Tan, Xiangmin Xu |
| 2023 | Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering. Min Peng, Liangchen Liu, Zhenghao Li, Yu Shi, Xiangdong Zhou |
| 2023 | Multi-Task Model Based on Vision Task Level for Saliency Object Detection in Foggy Conditions. Yusen Zhu, Gang Zhou, Jingxu Ren, Jiakun Tian, Zhenhong Jia |
| 2023 | Multi-View 3D Compton Image Reconstruction With a Generalized List-Mode MLEM Algorithm. Nhan Le, Hichem Snoussi, Zied Hmissi, Alain Iltis, Guillaume Lebonvallet, Ghislain Zeufack |
| 2023 | Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | Multilayer Attention Mechanism for Change Detection in SAR Image Spatial-Frequency Domain. Lirui Ma, Lu Wang, Chunhui Zhao, Jiahui E, Tomoaki Ohtsuki |
| 2023 | Multimodadl Graph Signal Denoising With Simultaneous Graph Learning using Deep Algorithm Unrolling. Keigo Takanami, Yukihiro Bandoh, Seishi Takamura, Yuichi Tanaka |
| 2023 | Multiple Description Video Coding for Real-Time Applications using HEVC. Trung Hieu Le, Marc Antonini, Marc Lambert, Karima Alioua |
| 2023 | Multiscale Representations Learning Transformer Framework for Point Cloud Classification. Yajie Sun, Ali Zia, Jun Zhou |
| 2023 | Multithreaded Algorithms for Lossless Intra Compression of Point Cloud Geometry Based on the Silhouette 3d Coder. Otho T. Komatsu, Edil Medeiros, Lucas M. Alves, Eduardo Peixoto |
| 2023 | Mutual Relative Position Learning Transformer for Cross-View Geo-Localization. Bo Gu, Hefei Ling, Yuxuan Shi, Zongyi Li, Chuang Zhao, Ping Li, Qiang Cao |
| 2023 | Mutually Supervised Learning via Interactive Consistency for Geographic Object Segmentation from Weakly Labeled Remote Sensing Imagery. Yanan Liu, Libao Zhang |
| 2023 | NERD: Neural Field-Based Demosaicking. Tomás Kerepecký, Filip Sroubek, Adam Novozámský, Jan Flusser |
| 2023 | NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy |
| 2023 | NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion. Akshat Ramachandran, Ankit Dhiman, Basavaraja Shanthappa Vandrotti, Jooyoung Kim |
| 2023 | NUCQ: Non-Uniform Conditional Quantization for Learned Image Compression. Ziqing Ge, Chuanmin Jia, Siwei Ma, Wen Gao |
| 2023 | Neural Augmented Exposure Interpolation for HDR Imaging. Zhengguo Li, Chaobing Zheng, Jinghong Zheng, Shiqian Wu |
| 2023 | Neural Field Real-Time Transmission Using Multiple Description Coding with Random Position Sampling. Anustup Choudhury, Guan-Ming Su |
| 2023 | Neural Global Illumination for Inverse Rendering. Nikolay Patakin, Dmitry Senushkin, Anna Vorontsova, Anton Konushin |
| 2023 | Nighttime Haze Removal with Spatially Variant Ambient Light and Saliency-Weighted Fused Transmission. Ruohui Zheng, Lin Tan, Libao Zhang |
| 2023 | Noise-Avoidance Sampling for Annotation Missing Object Detection. Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa |
| 2023 | Nonlocal Low-Rank Residual Modeling for Image Compressive Sensing Reconstruction. Junhao Zhang, Kim-Hui Yap, Lap-Pui Chau, Ce Zhu |
| 2023 | Novel Annotation and Metrics for Mangrove Species Classification Using Bounding Box Object Detection. Han Shen Lim, Yunli Lee, Kok Seng Eu, Mei-Hua Lin, Kian Meng Yap, Wai Chong Chia |
| 2023 | OCVOS: Object-Centric Representation for Video Object Segmentation. Junho Jo, Dongyoon Wee, Nam Ik Cho |
| 2023 | OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection. Yifan Wu, Songmin Dai, Dengye Pan, Xiaoqiang Li |
| 2023 | OOD Attack: Generating Overconfident out-of-Distribution Examples to Fool Deep Neural Classifiers. Keke Tang, Xujian Cai, Weilong Peng, Shudong Li, Wenping Wang |
| 2023 | Object Detection and Counting Challenges in Real Street Monitoring: Case Study of Homeless Encampments. Abdullah Alfarrarjeh, Seon Ho Kim, Utkarsh Baranwal, Yash Bitla |
| 2023 | Object-Centric Video Prediction Via Decoupling of Object Dynamics and Interactions. Angel Villar-Corrales, Ismail Wahdan, Sven Behnke |
| 2023 | Odd: One-Class Anomaly Detection Via The Diffusion Model. He Wang, Longquan Dai, Jinglin Tong, Yan Zhai |
| 2023 | Omission-Free Inpainting: A Three-Stage Approach to Ensure Object Generation. Hea In Jeong, Boeun Kim, Chungil Kim, Saim Shin |
| 2023 | OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework. Satoshi Suzuki, Taiga Yamane, Naoki Makishima, Keita Suzuki, Atsushi Ando, Ryo Masumura |
| 2023 | Online Pedestrian Tracking Using A Dense Fisheye Camera Network With Edge Computing. Tsaipei Wang, Sheng-Ho Chiang |
| 2023 | Open-Set Recognition for Facial-Expression Recognition. Mihiro Uchida, Shota Orihashi, Akihiko Takashima, Yoshihiro Yamazaki, Ryo Masumura |
| 2023 | Optical Character Recognition for Medical Records Digitization with Deep Learning. Muhammad Ateeque Zaryab, Chuen Rue Ng |
| 2023 | Optimized Coded Aperture Design in Compressive Spectral Imaging Via Coherence Minimization. Jianchen Zhu, Bochao Zhao |
| 2023 | Optimizing Transformer for Large-Hole Image Inpainting. Zixuan Li, Yuan-Gen Wang |
| 2023 | Overlap Loss: Rethinking Weakly Supervised Instance Segmentation in Crowded Scenes. Shanghang Jiang, Shichao Zhao, Meng Wu, Le Zhang, Feng Zhou |
| 2023 | PFC-UNIT: Unsupervised Image-to-Image Translation with Pre-Trained Fine-Grained Classification. Yu-ying Liang, Yuan-Gen Wang |
| 2023 | PFTA-Net: Progressive Feature Alignment and Temporal Attention Fusion Networks for Video Inpainting. Yanni Zhang, Zhiliang Wu, Yan Yan |
| 2023 | PL-UNeXt: Per-Stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection. Yang Cheng, Zhen Chen, Daming Liu |
| 2023 | PREFAB-GEN : AD HOC Image Generation for Pre-Manufacturing of Tires Using Image-To-Image Translation. Guillaume Déau, Pascal Bourdon, Philippe Carré, Stéphane Mérillou, Alexandre Dervillé, Francois Mourougaya |
| 2023 | PS-NeRV: Patch-Wise Stylized Neural Representations for Videos. Yunpeng Bai, Chao Dong, Cairong Wang, Chun Yuan |
| 2023 | PSCO: A Point Cloud Scene Classification Model Based on Contrast Learning. Nuo Cheng, Xiaohan Li, Chuanyu Luo, Xiaotong Liu, Han Li, Shengguang Lei, Pu Li |
| 2023 | Pairwise Feature Learning for Unseen Plant Disease Recognition. Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, Yi Lung Then, Hervé Goëau, Pierre Bonnet, Alexis Joly |
| 2023 | Palmprint Anti-Spoofing Based on Domain-Adversarial Training and Online Triplet Mining. Dingyi Yao, Huikai Shao, Dexing Zhong |
| 2023 | Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine Learning. Arlindo Rodrigues Galvão Filho, Isabela Jubé Wastowski, Marise A. R. Moreira, Maria A. de P. C. Cysneiros, Clarimar José Coelho |
| 2023 | Parallel Gradient Blend for Class Incremental Learning. Yunlong Zhao, Xiaoheng Deng, Xinjun Pei, Xuechen Chen, Deng Li |
| 2023 | Parameter-Efficient Vision Transformer with Linear Attention. Youpeng Zhao, Huadong Tang, Yingying Jiang, Yong A, Qiang Wu, Jun Wang |
| 2023 | Part Aware Graph Convolution Network with Temporal Enhancement for Skeleton-Based Action Recognition. Qian Huang, Yunqing Nie, Xing Li, Tianjin Yang |
| 2023 | Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. K. N. Ajay Shastry, Jayesh Chaudhari, Daksh Thapar, Aditya Nigam, Chetan Arora |
| 2023 | Past Information Aggregation for Multi-Person Tracking. Daniel Stadler, Jürgen Beyerer |
| 2023 | Patch-Wise Auto-Encoder for Visual Anomaly Detection. Yajie Cui, Zhaoxiang Liu, Shiguo Lian |
| 2023 | Perception-Oriented Omnidirectional Image Super-Resolution Based on Transformer Network. Hongyu An, Xinfeng Zhang |
| 2023 | Physics-Informed Deep Deblurring: Over-parameterized vs. Under-parameterized. Abeer Banerjee, Sumeet Saurav, Sanjay Singh |
| 2023 | Point Cloud Denoising Via Momentum Ascent in Gradient Fields. Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam |
| 2023 | Point Cloud Geometry and Color Coding in a Learning-Based Ecosystem for JPEG Coding Standards. André F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira |
| 2023 | Point Cloud Upsampling with Dynamic Graph Scattering Transform. Shiyu Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2023 | PolSAR Image Classification Based-On Semi-Supervised Polarimetric Feature Selection. Xiayuan Huang |
| 2023 | Pre-Training with Fractal Images Facilitates Learned Image Quality Estimation. Malte Silbernagel, Thomas Wiegand, Peter Eisert, Sebastian Bosse |
| 2023 | Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations. Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan |
| 2023 | Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. Benjamin Zalatan, Maryam Rahnemoonfar |
| 2023 | Predictive Coding for Animation-Based Video Compression. Goluck Konuko, Stéphane Lathuilière, Giuseppe Valenzise |
| 2023 | Prnet: A Progressive Regression Network for No-Reference User-Generated-Content (UGC) Video Quality Assessment. Yang Yang, Bo Jiang, Kailin Wu |
| 2023 | Processing Energy Modeling For Neural Network Based Image Compression. Christian Herglotz, Fabian Brand, Andy Regensky, Felix Rievel, André Kaup |
| 2023 | Product Image Representation Learning on Large Scale Noisy Datasets. Aniket Joshi, Nilotpal Das, Promod Yenigalla |
| 2023 | Progressive Mixup Augmented Teacher-Student Learning for Unsupervised Domain Adaptation. Aotian Zheng, Jie Mei, Farron Wallace, Craig S. Rose, Rania Hussein, Jenq-Neng Hwang |
| 2023 | Progressive Multi-View Fusion for 3D Human Pose Estimation. Lijun Zhang, Kangkang Zhou, Liangchen Liu, Zhenghao Li, Xunyi Zhao, Xiang-Dong Zhou, Yu Shi |
| 2023 | Progressive Refinement Learning Based on Feature Interactive Fusion for Semantic Segmentation of Remote Sensing Limited Dataset. Xinran Lyu, Libao Zhang |
| 2023 | Prompt Prototype Learning Based on Ranking Instruction For Few-Shot Visual Tasks. Li Sun, Liuan Wang, Jun Sun, Takayuki Okatani |
| 2023 | Pseudo Labels Refinement with Intra-Camera Similarity for Unsupervised Person Re-Identification. Pengna Li, Kangyi Wu, Sanping Zhou, Qianxin Huang, Jinjun Wang |
| 2023 | Pushing the Limits of the Wiener Filter in Image Denoising. Clement Bled, François Pitié |
| 2023 | Pyramid Masked Image Modeling for Transformer-Based Aerial Object Detection. Cong Zhang, Tianshan Liu, Yakun Ju, Kin-Man Lam |
| 2023 | Pyramid Transformer Driven Multibranch Fusion for Polyp Segmentation in Colonoscopic Video Images. Ao Wang, Ming Wu, Hao Qi, Hong Shi, Jianhua Chen, Yinran Chen, Xiongbiao Luo |
| 2023 | QVRF: A Quantization-Error-Aware Variable Rate Framework for Learned Image Compression. Kedeng Tong, Yaojun Wu, Yue Li, Kai Zhang, Li Zhang, Xin Jin |
| 2023 | Quantifiable Robustness Estimation for Object Detection with CNNs Using Intrinsic Dimensionality. Axel Vierling, Ajay Chawda, Mahesh Kashyap Belakavadi Manjunath, Karsten Berns |
| 2023 | Query by Activity Video in the Wild. Tao Hu, William Thong, Pascal Mettes, Cees Snoek |
| 2023 | Query-Based Video Summarization with Pseudo Label Supervision. Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring |
| 2023 | RDEPD: Re-Exploring Depth Estimation for Pedestrian Detection. Yifei Pei, Zhi-Ping Shi, Qichuan Geng, Zhaofa Wang, Yongkang Zhang, Na Jiang |
| 2023 | RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds. Remco Royen, Adrian Munteanu |
| 2023 | RFID-assisted visual multiple object tracking without using visual appearance and motion. Rongzihan Song, Zihao Wang, Jia Guo, Boon Siew Han, Alvin Hong Yee Wong, Lei Sun, Zhiping Lin |
| 2023 | RSFDM-Net: Real-Time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement. Jingxia Jiang, Jinbin Bai, Yun Liu, Junjie Yin, Sixiang Chen, Tian Ye, Erkang Chen |
| 2023 | Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. Chuchu He, Zhenyu Kuang, Yijin Zhong, Xinghao Ding, Yue Huang |
| 2023 | Real-Time Supermarket Product Recognition on Mobile Devices Using Scalable Pipelines. Julian Strohmayer, Martin Kampel |
| 2023 | Real-Time Wheel Detection and Rim Classification in Automotive Production. Roman Stanek, Tomás Kerepecký, Adam Novozámský, Filip Sroubek, Barbara Zitová, Jan Flusser |
| 2023 | Realization of Digraph Filters Via Augmented GFT. Hotaka Kitamura, Hiroyasu Yasuda, Yuichi Tanaka, Shogo Muramatsu |
| 2023 | Reaper: Articulated Object 6d Pose Estimation with Deep Reinforcement Learning. Liu Liu, Qi Wu, Zhendong Xue, Sucheng Qian, Rui Li |
| 2023 | Recovering Quality Scores in Noisy Pairwise Subjective Experiments Using Negative Log-Likelihood. Andréas Pastor, Lukás Krasula, Xiaoqing Zhu, Zhi Li, Patrick Le Callet |
| 2023 | Rectangular-Output Image Stitching. Hongfei Zhou, Yuhe Zhu, Xiaoqian Lv, Qinglin Liu, Shengping Zhang |
| 2023 | Reduced Complexity Multiscale CNN for in-Loop Video Restoration. Kiran M. Misra, Andrew Segall, Byeongdoo Choi |
| 2023 | Regularizing Neural Radiance Fields from Sparse Rgb-D Inputs. Qian Li, Franck Multon, Adnane Boukhayma |
| 2023 | Representation Learning of Vertex Heatmaps for 3D Human Mesh Reconstruction From Multi-View Images. Sungho Chun, Sungbum Park, Ju Yong Chang |
| 2023 | Residential Extraction Based on Weakly-Supervised Similarity-Aware Multi-Source Alignment Strategy with Limited SAR Data. Sijia Ma, Libao Zhang |
| 2023 | Restorable Visible and Infrared Image Fusion. Jihun Kang, Daichi Horita, Koki Tsubota, Kiyoharu Aizawa |
| 2023 | Restoration of Extremely Compressed Background for VCM Using Guided Generative Priors. Le Thi Hue Dao, An Gia Vien, Jooyoung Lee, Seyoon Jeong, Chul Lee |
| 2023 | Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing. Wan Jun Nah, Chun Chet Ng, Che-Tsung Lin, Yeong Khang Lee, Jie-Long Kew, Zhi Qin Tan, Chee Seng Chan, Christopher Zach, Shang-Hong Lai |
| 2023 | Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. Yeganeh Gharedaghi, Gene Cheung, Xianming Liu |
| 2023 | Retrieve the Visible Feature to Improve Thermal Pedestrian Detection Using Discrepancy Preserving Memory Network. Yuxuan Hu, Ning Zhang, Lubin Weng |
| 2023 | Reuse Non-Terrain Policies for Learning Terrain-Adaptive Humanoid Locomotion Skills. Hao Yu, Yuchen Liang, Yuehu Liu, Chi Zhang |
| 2023 | Revisiting Modality Imbalance In Multimodal Pedestrian Detection. Arindam Das, Sudip Das, Ganesh Sistu, Jonathan Horgan, Ujjwal Bhattacharya, Edward Jones, Martin Glavin, Ciarán Eising |
| 2023 | Revolutionizing Thermal Imaging: GAN-Based Vision Transformers for Image Enhancement. Mohamed Amine Marnissi |
| 2023 | Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium. Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman |
| 2023 | Robust Bounding Box Regression for Small Object Detection. Ziqi Guo, Chu He, Lian Zhou, Qingyi Zhang, Shilei Sun |
| 2023 | Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer. Yunseung Lee, Youngjun Kwak, Jinho Shin |
| 2023 | Robust Feature Learning Against Noisy Labels. Tsung-Ming Tai, Yun-Jie Jhang, Wen-Jyi Hwang |
| 2023 | Robust Graph Neural Diffusion for Image Matching. Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber |
| 2023 | Robust Graph-Based Segmentation of Noisy Point Clouds. Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu |
| 2023 | Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping. Sungjune Park, Jung Uk Kim, Jin Mo Song, Yong Man Ro |
| 2023 | Robust Nucleus Classification with Iterative Graph Representational Learning. Taimur Hassan, Moshira Abdalla, Hina Raja, Muhammad Owais, Naoufel Werghi |
| 2023 | Robust RGB-T Tracking via Consistency Regulated Scene Perception. Bin Kang, Liwei Liu, Shihao Zhao, Songlin Du |
| 2023 | Robust Wind Turbine Blade Segmentation from RGB Images in the Wild. Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo |
| 2023 | Rotation XGBoost Based Method for Hyperspectral Image Classification with Limited Training Samples. Wei Feng, Xinting Gao, Gabriel Dauphin, Yinghui Quan |
| 2023 | SATPlate: A Germany License Plate Detection Dataset and Baselines. Xiaorui Yang, Bo Zhang, Kuo-Chin Lien |
| 2023 | SDAT-Former: Foggy Scene Semantic Segmentation Via A Strong Domain Adaptation Teacher. Ziquan Wang, Yongsheng Zhang, Ying Yu, Zhipeng Jiang |
| 2023 | SDWD: Style Diversity Weighted Distance Evaluates the Intra-Class Data Diversity of Distributed GANs. Wei Wang, Ziwen Wu, Mingwei Zhang, Yue Li |
| 2023 | SEM-CS: Semantic Clipstyler for Text-Based Image Style Transfer. Chanda Grover Kamra, Indra Deep Mastan, Debayan Gupta |
| 2023 | SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection. Jing Chen, Debo Cheng, Jiacheng Jiang, Zhongyi Yu, Shichao Zhang |
| 2023 | SGSR: A Saliency-Guided Image Super-Resolution Network. Dayeon Kim, Munchurl Kim |
| 2023 | ST-MFNET Mini: Knowledge Distillation-Driven Frame Interpolation. Crispian Morris, Duolikun Danier, Fan Zhang, Nantheera Anantrasirichai, David R. Bull |
| 2023 | STANet: Spatiotemporal Adaptive Network for Remote Sensing Images. Chenlu Hu, Mengting Ma, Xiaowen Ma, Huanting Zhang, Dun Wu, Guang Gao, Wei Zhang |
| 2023 | Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers. Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou |
| 2023 | Sar Target Extraction Based On Saliency-Guided Cross-Domain Discrepancy Alignment Strategy. Sijia Ma, Libao Zhang |
| 2023 | Scapegoat Generation for Privacy Protection from Deepfake. Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa, Hideki Tsunashima, Hirokatsu Kataoka, Shigeo Morishima |
| 2023 | Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels. Mingliang Zhai, Kang Ni, Jiucheng Xie, Xuezhi Xiang, Hao Gao |
| 2023 | Scene Text Recognition Models Explainability Using Local Features. Mark Vincent Ty, Rowel Atienza |
| 2023 | Scene Text Segmentation by Paired Data Synthesis. Quang-Vinh Dang, Guee-Sang Lee |
| 2023 | Score-Based Diffusion Models for Bayesian Image Reconstruction. Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky |
| 2023 | ScratchHOI: Training Human-Object Interaction Detectors from Scratch. JunYi Lim, Vishnu Monn Baskaran, Joanne Mun-Yee Lim, Ricky Sutopo, KokSheik Wong, Massimo Tistarelli |
| 2023 | Segmentation and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet. M. K. Laksath Adityan, Himanchal Sharma, Angshuman Paul |
| 2023 | Segmentation of the Left Ventricle by SDD double threshold selection and CHT. Wenfei Zhang, Xiufeng Li, Zhenzhou Wang |
| 2023 | Segmentation of the Left Ventricle for the Cardiac Phases between End-Diastole and End-Systole. Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed |
| 2023 | Selecting A Diverse Set Of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement Learning. Evlampios Apostolidis, Georgios Balaouras, Vasileios Mezaris, Ioannis Patras |
| 2023 | Self Adaptive Global-Local Feature Enhancement for Radiology Report Generation. Yuhao Wang, Kai Wang, Xiaohong Liu, Tianrun Gao, Jingyue Zhang, Guangyu Wang |
| 2023 | Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training. Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2023 | Self-Compensating Learning for Few-Shot Segmentation. Jin Wang, Bingfeng Zhang, Weifeng Liu, Baodi Liu, Siyue Yu |
| 2023 | Self-Enhanced Training Framework for Referring Expression Grounding. Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma |
| 2023 | Self-Reinforcing For Few-Shot Medical Image Segmentation. Yao Huang, Jianming Liu, Hua Chen |
| 2023 | Self-Supervised 3D Skeleton Representation Learning with Active Sampling and Adaptive Relabeling for Action Recognition. Guoquan Wang, Hong Liu, Tianyu Guo, Jingwen Guo, Ti Wang, Yidi Li |
| 2023 | Self-Supervised Contrastive Learning for Audio-Visual Action Recognition. Yang Liu, Ying Tan, Haoyuan Lan |
| 2023 | Self-Supervised Denoising of Optical Coherence Tomography with Inter-Frame Representation. Zhengji Liu, Tsz-Kin Law, Jizhou Li, Chi Ho To, Rachel Ka Man Chun |
| 2023 | Self-Supervised Focus Measure Fusing for Depth Estimation from Computer-Generated Holograms. Nabil Madali, Antonin Gilles, Patrick Gioia, Luce Morin |
| 2023 | Self-Supervised Learning for Context-Independent DfD Network using Multi-View Rank Supervision. Nao Mishima, Akihito Seki, Shinsaku Hiura |
| 2023 | Self-Supervised Learning for Scanned Halftone Classification with Novel Augmentation Techniques. Jing-Ming Guo, Sankarasrinivasan Seshathiri |
| 2023 | Semantic Circle Detection and Circle-Inner Segmentation for Tree-Wise Citrus Summer Shoot Management in Aerial Images. Renjie Huang, Yangguang Shi, Yuting He, Yongqiang Zheng, Guoqiang Xiao, Ziruo Liu |
| 2023 | Semantic Learning Network for Controllable Video Captioning. Kaixuan Chen, Qianji Di, Yang Lu, Hanzi Wang |
| 2023 | Semantic Mapping of Incremental 3D Point Clouds Based on Multi-Hop Graph Attention Network. Shuntong Chen, Jiachen Xu, Xia Yuan, Chunxia Zhao |
| 2023 | Semantic Scene Completion with Point Cloud Representation and Transformer-based feature fusion. Ruochong Fu, Hang Wu, Mengxiang Hao, Yubin Miao |
| 2023 | Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation. Sumin Song, Min-Cheol Sagong, Seung-Won Jung, Sung-Jea Ko |
| 2023 | Semantic-Embedded Knowledge Acquisition and Reasoning for Image Segmentation. Wei Liu, Huigang Zhang, Xiaojie Xia, Liuan Wang, Jun Sun |
| 2023 | Semi-Supervised Contrastive Learning of Global and Local Representation for 3d Medical Image Segmentation. Chuang Jia, Jian Xue, Ke Lu, Zhongqi Wu |
| 2023 | Semi-Supervised Few-Shot Segmentation with Noisy Support Images. Runtong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng |
| 2023 | SiamCLIM: Text-Based Pedestrian Search Via Multi-Modal Siamese Contrastive Learning. Runlin Huang, Shuyang Wu, Leiping Jie, Xinxin Zuo, Hui Zhang |
| 2023 | Siamese Network Representation for Active Learning. Jianing Li, Yuan Du, Li Du |
| 2023 | Simple Self-Distillation Learning for Noisy Image Classification. Tenta Sasaya, Takashi Watanabe, Takashi Ida, Toshiyuki Ono |
| 2023 | Simultaneous Watermarking and Draco 3D Object Compression Method. Bianca Jansen Van Rensburg, Adrian G. Bors, William Puech, Jean-Pierre Pedeboy |
| 2023 | Single Image LDR to HDR Conversion Using Conditional Diffusion. Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman |
| 2023 | Single-Domain Generalization for Semantic Segmentation Via Dual-Level Domain Augmentation. Shu-Jung Chang, Chen-Yu Lu, Pei-Kai Huang, Chiou-Ting Hsu |
| 2023 | Single-Image HDR Reconstruction Based on Two-Stage GAN Structure. B.-C. Guo, C.-H. Lin |
| 2023 | Single-Stage Heavy-Tailed Food Classification. Jiangpeng He, Fengqing Zhu |
| 2023 | Skeleton Action Recognition Based on Spatio-Temporal Features. Qian Huang, Mengting Xie, Xing Li, Shuaichen Wang |
| 2023 | Sketchffusion: Sketch-Guided Image Editing with Diffusion Model. Weihang Mao, Bo Han, Zihao Wang |
| 2023 | Smooth and Stepwise Self-Distillation for Object Detection. Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar |
| 2023 | Soft-IntroVAE for Continuous Latent Space Image Super-Resolution. Zhisong Liu, Zijia Wang, Zhen Jia |
| 2023 | Spatial-Frequency Network for Segmentation of Remote Sensing Images. Tony Zhang, Robert P. Dick |
| 2023 | Spatial-Temporal Transformer Network for Human Mocap Data Recovery. Jijin Zhang, Jingliang Peng, Na Lv |
| 2023 | Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces. Fabian Brand, Alexander Kopte, Kristian Fischer, André Kaup |
| 2023 | Spatio-Temporal Perception-Distortion Trade-Off in Learned Video SR. Nasrin Rahimi, A. Murat Tekalp |
| 2023 | Spectral Grouping Driven Hyperspectral Super-Resolution. Sadia Hussain, Brejesh Lall |
| 2023 | Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition. Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt |
| 2023 | Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to Minimize Manual Labeling Efforts and Maximize Classification Performance. Anna-Maria Nau, Audris Mockus, Dawnie W. Steadman |
| 2023 | Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans. Muhammad Owais, Taimur Hassan, Neha Gour, Iyyakutti Iyappan Ganapathi, Naoufel Werghi |
| 2023 | Structure-Aware Generative Adversarial Network for Text-to-Image Generation. Wenjie Chen, Zhangkai Ni, Hanli Wang |
| 2023 | Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings. Monika Pytlarz, Adrian Onicas, Alessandro Crimi |
| 2023 | Subjective Assessment of the Impact of a Content Adaptive Optimiser for Compressing 4K HDR Content With AV1. Vibhoothi, Angeliki Katsenou, François Pitié, Katarina Domijan, Anil C. Kokaram |
| 2023 | Subjective Quality Assessment of Enhanced Retinal Images. Guanghui Yue, Shaoping Zhang, Yuan Li, Xiaoyan Zhou, Tianwei Zhou, Wei Zhou |
| 2023 | Super-Resolution of BVOC Maps by Adapting Deep Learning Methods. Antonio Giganti, Sara Mandelli, Paolo Bestagini, Marco Marcon, Stefano Tubaro |
| 2023 | Swinat-Unet: a new Backbone for Precipitation Nowcasting. Wei Fang, Meihan Qi |
| 2023 | TAMM: A Task-Adaptive Multi-Modal Fusion Network for Facial-Related Health Assessments on 3D Facial Images. Kai Wang, Xiaohong Liu, Zhengchao Luo, Fajin Feng, Guangyu Wang |
| 2023 | TAQ: Top-K Attention-Aware Quantization for Vision Transformers. Lili Shi, Haiduo Huang, Bowei Song, Meng Tan, Wenzhe Zhao, Tian Xia, Pengju Ren |
| 2023 | TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Detection. Yang Di, Son Lam Phung, Julian Van Den Berg, Jason Clissold, Abdesselam Bouzerdoum |
| 2023 | TR3D: Towards Real-Time Indoor 3D Object Detection. Danila Rukhovich, Anna Vorontsova, Anton Konushin |
| 2023 | TRG-DQA: Texture Residual-Guided Dehazed Image Quality Assessment. Tiantian Zeng, Lu Zhang, Wenbin Zou, Xia Li, Shishun Tian |
| 2023 | TRICKVOS: A Bag of Tricks for Video Object Segmentation. Evangelos Skartados, Konstantinos Georgiadis, Mehmet Kerim Yucel, Koskinas Ioannis, Armando Domi, Anastasios Drosou, Bruno Manganelli, Albert Saà-Garriga |
| 2023 | TSFC: Texture and Structure Features Coupling for Image Inpainting. Lu Liu, Qi Wang, Wenxin Yu, Shiyu Chen, Jun Gong, Peng Chen |
| 2023 | Target-Discriminability-Induced Multi-Source-Free Domain Adaptation. Gang Li, Qifei Zhang, Peizheng Wang, Rui He, Chao Wu |
| 2023 | Task-Adaptive Feature Matching Loss for Image Deblurring. Chiao-Chang Chang, Bo-Cheng Yang, Yi-Ting Liu, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin |
| 2023 | Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition. Byeonggeun Kim, Jun-Tae Lee, Kyuhong Shim, Simyung Chang |
| 2023 | Task-Aware Graph Convolutional Network for Active Learning. Yujia Ye, Zhangquan Wu, Guoliang Su, Jun Zhou |
| 2023 | Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information. Zhilei Liu, Chenggong Zhang |
| 2023 | Team DETR: Guide Queries as a Professional Team in Detection Transformers. Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli Song |
| 2023 | Tell Your Story: Text-Driven Face Video Synthesis with High Diversity via Adversarial Learning. Xia Hou, Meng Sun, Wenfeng Song |
| 2023 | Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | The Elliptic Energy Loss for Rotated Object Detection in Aerial Images. Cong Zhang, Kunming Luo, Fanman Meng, Qingbo Wu |
| 2023 | The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences. Yaxuan Liu, Jian Jin, Yuan Xue, Weisi Lin |
| 2023 | The Multivariate Transformer Network for Mild Cognitive Impairment Identification. Jianping Qiao, Hongjia Liu, Rong Wang, Zhishun Wang, Jiande Sun |
| 2023 | The Oil and Water Separation Phenomenon Inspired Loss for Feature Learning. Zijia Wang, Wenbin Yang, Zhi-Song Liu, Jiacheng Ni, Qiang Chen, Zhen Jia |
| 2023 | Thermal Infrared Guided Color Image Dehazing. Jiayu Xie, Xin Jin |
| 2023 | Token-Consistent Dropout For Calibrated Vision Transformers. Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool |
| 2023 | Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images. Zhiyuan Yang, Qingfu Zhang |
| 2023 | Towards Query Efficient and Generalizable Black-Box Face Reconstruction Attack. Hojin Park, Jaewoo Park, Xingbo Dong, Andrew Beng Jin Teoh |
| 2023 | Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification. Soufiane Mallem, Amir Nakib |
| 2023 | Training Cartoonization Network without Cartoon. Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim |
| 2023 | Training-Free Location-Aware Text-to-Image Synthesis. Jiafeng Mao, Xueting Wang |
| 2023 | Transbuilding: An End-to-End Polygonal Building Extraction with Transformers. Weiming Zhang, Qingjie Liu, Wei Wang, Yunhong Wang |
| 2023 | Transformation Consistency for Remote Sensing Image Super-Resolution. Kai Deng, Ping Yao, Siyuan Cheng, Junyu Bi, Kun Zhang |
| 2023 | Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control. Chia-Hao Kao, Ying-Chieh Weng, Yi-Hsin Chen, Wei-Chen Chiu, Wen-Hsiao Peng |
| 2023 | Transforming Multidimensional Data into Images to Overcome the Curse of Dimensionality. Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, Laurent Wendling |
| 2023 | Transpointflow: Learning Scene Flow from Point Clouds with Transformer. Rokia Abdein, Xuezhi Xiang, Abdulmotaleb El Saddik |
| 2023 | Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising. Mingyan Zhang, Mingli Zhang, Feng Zhao, Fan Zhang, Yepeng Liu, Alan C. Evans |
| 2023 | Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation. Seunghoon Lee, Suhwan Cho, Dogyoon Lee, Minhyeok Lee, Sangyoun Lee |
| 2023 | ULcompress: A Unified low bit-rate image Compression Framework via Invertible Image Representation. Fangyuan Gao, Xin Deng, Chao Gao, Mai Xu |
| 2023 | USGG: Union Message Based Scene Graph Generation. Shiqi Sun, Danlan Huang, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu |
| 2023 | USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition. Yin Yin Low, Raphaël C.-W. Phan, Arghya Pal, Xiaojun Chang |
| 2023 | UT-GAN: A Novel Unpaired Textual-Attention Generative Adversarial Network for Low-Light Text Image Enhancement. Minglong Xue, Zhengyang He, Yanyi He, Peiqi Xie, Xin Feng |
| 2023 | Uncertainty Aware Implicit Image Function for Arbitrary-Scale Super-Resolution. Swastik Jena, Saptarshi Panda, Bunil Kumar Balabantaray, Rajashree Nayak |
| 2023 | Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2023 | Unified Learning-Based Lossy and Lossless Jpeg Recompression. Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin |
| 2023 | Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. Jian Zhong, Si Wu, Hau-San Wong |
| 2023 | Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent. Vineet R. Shenoy, Tim K. Marks, Hassan Mansour, Suhas Lohit |
| 2023 | Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre |
| 2023 | Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang |
| 2023 | Unsupervised Deep Hashing With Deep Semantic Distillation. Chuang Zhao, Hefei Ling, Yuxuan Shi, Bo Gu, Shijie Lu, Ping Li, Qiang Cao |
| 2023 | Unsupervised Domain Adaptation with Imbalanced Character Distribution for Scene Text Recognition. Hung Tran Tien, Thanh Duc Ngo |
| 2023 | Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data. Jingxu Ren, Gang Zhou, Yusen Zhu, Yangxin Liu, Juan Chen, Zhenhong Jia |
| 2023 | Unsupervised Domain Adaptive Person Re-Identification with Adaptive Structure Learning. Yang Peng, Ping Liu, Xiyuan Yang, Pan Zhou, Yawei Luo, Jingen Liu |
| 2023 | Using Classifier Discrepancy for Cross-Domain Image Retrieval. Longjiao Zhao, Yu Wang, Jien Kato |
| 2023 | Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection. Asish Kumar Mishra, Kanishka Tyagi, Deepak Mishra |
| 2023 | Variational Deep Atmospheric Turbulence Correction for Video. Santiago López-Tapia, Xijun Wang, Aggelos K. Katsaggelos |
| 2023 | Variational Feature Disentanglement for Few-Shot Domain Adaptation. Weiduo Wang, Yun Gu, Jie Yang |
| 2023 | Video Question Answering Using Clip-Guided Visual-Text Attention. Shuhong Ye, Weikai Kong, Chenglin Yao, Jianfeng Ren, Xudong Jiang |
| 2023 | Video Summarization Through Fine-Grained Hierarchical Modeling with Multi-Dimensional Features. Mengnan Liang, Ju Liu, Xiaoxi Liu, Lingchen Gu |
| 2023 | Video Super-Resolution Via Event-Driven Temporal Alignment. Dachun Kai, Yueyi Zhang, Xiaoyan Sun |
| 2023 | Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation. Chengxi Zeng, Xinyu Yang, David Smithard, Majid Mirmehdi, Alberto M. Gambaruto, Tilo Burghardt |
| 2023 | Visual and Spatial Context Fusion for Implicit Human Reconstruction. Zhifang Liu, Yadong Li, Xiang Huang, Haoqian Wang |
| 2023 | Viva: a Variational Image Vectorization Algorithm on Dual-Primal Graph Pairs. Yuchen He, Sung Ha Kang, Jean-Michel Morel |
| 2023 | WCANet: Wavelet Channel Attention Network for Citrus Variety Identification. Fukai Zhang, Xiaobo Jin, Jie Jiang, Shan An, Qiang Lyu |
| 2023 | Wavelet-Based Frequency-Dividing Interactive CNN for Image Classification. Jidong Cao, Chu He, Jiahao Pan, Qingyi Zhang, Xi Chen |
| 2023 | Weakly Semi-Supervised Oriented Object Detection with Points. Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen |
| 2023 | Weakly Supervised Disentanglement with Triplet Network. Pedro C. C. C. C. Coutinho, Yannick Berthoumieu, Marc Donias, Sébastien Guillon |
| 2023 | Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin |
| 2023 | What Modality Matters? Exploiting Highly Relevant Features for Video Advertisement Insertion. Onn Keat Chong, Hui-Ngo Goh, John See |
| 2023 | When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. Catherine Ordun, Edward Raff, Sanjay Purushotham |
| 2023 | X-Ray Spectral Estimation Using Dictionary Learning. Wenrui Li, Venkatesh Sridhar, K. Aditya Mohan, Saransh Singh, Jean-Baptiste Forien, Xin Liu, Gregery T. Buzzard, Charles A. Bouman |
| 2023 | Xi-Net: Transformer based Seismic Waveform Reconstructor. Anshuman Gaharwar, Parth Parag Kulkarni, Joshua T. Dickey, Mubarak Shah |
| 2023 | YOLO-MAXVOD for Real-Time Video Object Detection. Pradeep Moturi, Mukund Khanna, Kunal Singh |
| 2023 | You Only Need 80k Parameters to Enhance Image: Learning Periodic Features for Image Enhancement. Jiachen Dang, Yong Zhong, Lishun Wang |
| 2023 | ZREC: Robust Recovery of Mean and Percentile Opinion Scores. Jingwen Zhu, Ali Ak, Patrick Le Callet, Sriram Sethuraman, Kumar Rahul |
| 2023 | Zero-Shot Human-Object Interaction (HOI) Classification by Bridging Generative and Contrastive Image-Language Models. Ying Jin, Yinpeng Chen, Jianfeng Wang, Lijuan Wang, Jenq-Neng Hwang, Zicheng Liu |
| 2023 | Zero-Shot Hyperspectral Image Denoising With Self-Completion with Patterned Masks. Tatsuki Itasaka, Masahiro Okuda |