| 2024 | 3D Clothed Human Reconstruction From One In-the-Wild RGB Image. Liangjing Shao, Benshuang Chen, Xinrong Chen |
| 2024 | 3D Semantic Scene Completion From A Depth Map With Unsupervised Learning For Semantics Prioritisation. Mona Alawadh, Mahesan Niranjan, Hansung Kim |
| 2024 | 3D-COCO: Extension of MS-COCO Dataset for Scene Understanding and 3D Reconstruction. Bideaux Maxence, Phe Alice, Mohamed Chaouch, Luvison Bertrand, Quoc-Cuong Pham |
| 2024 | 3Dlaneformer: Rethinking Learning Views for 3D Lane Detection. Kun Dong, Jian Xue, Xing Lan, Ke Lu |
| 2024 | 3F-PNP: Compressive Sensing Using Nonlocal Self-Similarity and Deep Learning Priors. Karen O. Egiazarian, Vladimir Katkovnik |
| 2024 | A 1D Plug-and-Play Synthetic Data Deep Learning For Undersampled Magnetic Resonance Image Reconstruction. Min Xiao, Zi Wang, Jiefeng Guo, Di Guo, Xiaobo Qu |
| 2024 | A Benchmark of Variance of Opinion Scores in Image Quality Assessment. Jianxun Lou, Xinbo Wu, Yingying Wu, Padraig Corcoran, Gualtiero Colombo, Roger M. Whitaker, Hantao Liu |
| 2024 | A Cnn-Transformer Network Based Snr Guided High Frequency Reconstruction for Low Light Image Enhancement. Jin Zhang, Haiyan Jin, Haonan Su, Yuanlin Zhang, Zhaolin Xiao, Bin Wang |
| 2024 | A Comparative Study of Perceptual Quality Metrics For Audio-Driven Talking Head Videos. Weixia Zhang, Chengguang Zhu, Jingnan Gao, Yichao Yan, Guangtao Zhai, Xiaokang Yang |
| 2024 | A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking. Kyujin Shim, Jubi Hwang, Kangwook Ko, Changick Kim |
| 2024 | A Context-Oriented Multi-Scale Neural Network for Fire Segmentation. Tony Zhang, Robert P. Dick |
| 2024 | A Cross Domain Generative Network for Accelerated MRI. Vazim Ibrahim, Joseph Suresh Paul |
| 2024 | A Dataset for Understanding Open UGC Video Datasets. Pierre R. Lebreton, Patrick Le Callet, Neil Birkbeck, Yilin Wang, Balu Adsumilli |
| 2024 | A Decoding Scheme With Successive Aggregation of Multi-Level Features For Light-Weight Semantic Segmentation. Jiwon Yoo, Jangwon Lee, Gyeonghwan Kim |
| 2024 | A Dictionary Based Approach for Removing Out-of-Focus Blur. Uditangshu Aurangabadkar, Anil C. Kokaram |
| 2024 | A Dual-Domain Collaboration Network for VCS Reconstruction. Jiahui Liu, Chunling Yang |
| 2024 | A Fusion-Based Approach for Blind Contrast-Enhanced Image Ranking. Wael Suliman, Mohamed Deriche, Naoufel Werghi, Azeddine Beghdadi |
| 2024 | A Hard Convex-Shape Constraint In Dnns For Object Segmentation. Jimut B. Pal, Suyash P. Awate |
| 2024 | A Hue-Preserving Contrast Enhancement Method Using Histogram Specification for Each RGB Component. Ryushiro Matsumoto, Mashiho Mukaida, Takanori Koga, Noriaki Suetake |
| 2024 | A Large-Capacity Data Hiding Scheme in Encrypted VVC Video. Chen Chen, Xingjun Wang |
| 2024 | A Learnable Radar Imaging Paradigm Driven by Deep Generative Model. Shuang Li, Ganggang Dong |
| 2024 | A Modular and Robust Physics-Based Approach for Lensless Image Reconstruction. Yohann Perron, Eric Bezzam, Martin Vetterli |
| 2024 | A Multi-Modality Feature Enhancement Method Based On Feature Disentanglement For Sar Image Target Detection. Jiayue He, Nan Su, Yanping Liao, Yiming Yan, Shou Feng, Chunhui Zhao |
| 2024 | A Multi-Scale Feature Fusion Network for Chip Surface Defect Detection. Haoang Ren, Mengke Tian, Guanwen Zhang, Wei Zhou |
| 2024 | A Needle In A (Medical) Haystack: Detecting A Biopsy Needle In Ultrasound Images Using Vision Transformers. Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa |
| 2024 | A Neuroimaging Yolov8-Based Cad Framework for Anosmia Grading in Covid-19. Hossam Magdy Balaha, Mayada Elgendy, Ahmed Alksas, Mohamed Shehata, Norah Saleh Alghamdi, Fatma Taher, Mohammed Ghazal, Mahitab Ghoneim, Eslam Hamed, Fatma Sherif, Ahmed Elgarayhi, Mohammed Sallah, Mohamed Abdelbadie Salem, Elsharawy Kamal, Harpal Sandhu, Ayman El-Baz |
| 2024 | A New Efficient Split & Merge Algorithm for Embedded Systems. Nathan Maurice, Julien Sopena, Lionel Lacassagne |
| 2024 | A New Fingerprinting Technique for Engraved Binary Matrix Authentication. Léo Nicollier, Marc Michel Pic, Enric Meinhardt-Llopis, Gabriele Facciolo |
| 2024 | A New People-Object Interaction Dataset and NVS Benchmarks. Shuai Guo, Houqiang Zhong, Qiuwen Wang, Ziyu Chen, Yijie Gao, Jiajing Yuan, Chenyu Zhang, Rong Xie, Li Song |
| 2024 | A Novel Approach for 3D Renal Segmentation Using a Modified GAN Model and Texture Analysis. Israa Sharaby, Ahmed Alksas, Hossam Magdy Balaha, Ali Mahmoud, Mohammed Ali Badawy, Mohamed Abou El-Ghar, Ashraf Khalil, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz |
| 2024 | A Novel Architecture for Image Vectorization with Increasing Granularity. Junhao Huang, Fang Zhang, Meiliang Liu, Zhengye Si, Zhiwen Zhao |
| 2024 | A Practical Calibration Method for Cameras and Multiple Line-Lasers in Light Sectioning Systems for Underwater Environments. Takaki Ikeda, Takafumi Iwaguchi, Diego Thomas, Hiroshi Kawasaki |
| 2024 | A Preconditioning Approach To Optimizing Sensing Matrix For Improved Compressed Sensing CT Reconstruction. Prasad Theeda, Chee-Ming Ting, Arghya Pal, Hernando Ombao |
| 2024 | A Real-World Satellite Video Subjective QOE Database. Bowen Chen, Zaixi Shang, Alan C. Bovik, Jae Won Chung, David Lerner |
| 2024 | A Self-Supervised Diffusion Framework For Facial Emotion Recognition. Saif Hassan, Mohib Ullah, Ali Shariq Imran, Ghulam Mujtaba, Muhammad Mudassar Yamin, Ehtesham Hashmi, Faouzi Alaya Cheikh, Azeddine Beghdadi |
| 2024 | A Single Graph Convolution is All You Need: Efficient Grayscale Image Classification. Jacob Fein-Ashley, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2024 | A Sparse Graph Formulation for Efficient Spectral Image Segmentation. Rahul Palnitkar, Jeová Farias Sales Rocha Neto |
| 2024 | A Spatio-Temporal Aligned SUNet Model For Low-Light Video Enhancement. Ruirui Lin, Nantheera Anantrasirichai, Alexandra Malyugina, David Bull |
| 2024 | A Statistical Image Realism Score For Deepfake Detection. Yunzhuo Chen, Naveed Akhtar, Nur Al Hasan Haldar, Jordan Vice, Ajmal Mian |
| 2024 | A Study on the Effect of Color Spaces in Learned Image Compression. Srivatsa Prativadibhayankaram, Mahadev Prasad Panda, Jürgen Seiler, Thomas Richter, Heiko Sparenberg, Siegfried Foessel, André Kaup |
| 2024 | A Subjective Quality Evaluation of 3D Mesh With Dynamic Level of Detail in Virtual Reality. Duc V. Nguyen, Tran Thuy Hien, Truong Thu Huong |
| 2024 | A Text Detector Based on the Specific Text Prompt. Xingtao Lin, Chuanyang Gong, Lanxiao Wang, Heqian Qiu, Shengyu Tong, Hongliang Li |
| 2024 | A Toolkit to Benchmark Point Cloud Quality Metrics with Multi-Track Evaluation Criteria. Ali Ak, Emin Zerman, Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Patrick Le Callet |
| 2024 | A Trustworthy Authentication Against Visual Master Face Dictionary Attacks (Trauma). Muhammad Mohzary, Baek-Young Choi, Sejun Song |
| 2024 | AAGF: An Efficient Transformer With Mix-Features For Visual Place Recognition. Kuan Zhou, Zhenyu Xu, Qieshi Zhang, Jun Cheng, Ziliang Ren, Xiangyang Gao |
| 2024 | ACML: Attention-Based Cross-Modality Learning For Cloth-Changing and Occluded Person Re-Identification. Vuong D. Nguyen, Pranav Mantini, Shishir K. Shah |
| 2024 | AI-Generated Image Detection With Wasserstein Distance Compression and Dynamic Aggregation. Zihang Lyu, Jun Xiao, Cong Zhang, Kin-Man Lam |
| 2024 | AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images. Liu Yang, Huiyu Duan, Long Teng, Yucheng Zhu, Xiaohong Liu, Menghan Hu, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet |
| 2024 | ATAC-NET: Zoomed View Works Better for Anomaly Detection. Shaurya Gupta, Neil Gautam, Anurag Malyala |
| 2024 | ATU-NET: An Adaptive Transformation-Based U-NET for Medical Image Segmentation. Qianyu Du, Baojiang Zhong, Kai-Kuang Ma |
| 2024 | Accelerating Cascade Classifier Training with Genetic Algorithms for Edge ML Applications. Abhishek Saini, Sajjad Moazeni |
| 2024 | Accurate Colon Segmentation Using 2D Convolutional Neural Networks With 3D Contextual Information. Samir Harb, A. Elsayed, Mohamed Yousuf, Islam Alkabbany, Asem M. Ali, Salwa Elshazley, Aly A. Farag |
| 2024 | AdaViPro: Region-Based Adaptive Visual Prompt For Large-Scale Models Adapting. Mengyu Yang, Ye Tian, Lanshan Zhang, Xiao Liang, Xuming Ran, Wendong Wang |
| 2024 | Adaprompt: Prompt Tuning with Adaptive Neighbours for Generalized Category Discovery. Liyana Sahir, Anwesha Banerjee, Soma Biswas |
| 2024 | Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra |
| 2024 | Adapting Learned Image Codecs To Screen Content Via Adjustable Transformations. H. Burak Dogaroglu, Ahmet Burakhan Koyuncu, Atanas Boev, Elena Alshina, Eckehard G. Steinbach |
| 2024 | Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization. Tanapat Ratchatorn, Masayuki Tanaka |
| 2024 | Adaptive Downsampling and Spatial Upconversion for Point Cloud Compression. Yichen Zhou, Xinfeng Zhang, Yingzhan Xu, Kai Zhang, Li Zhang |
| 2024 | Adaptive Sampling Method for Whole-Body Low-Dose Pet Reconstruction Based on Reconstruction Difficulty. Yanyi Li, Jianping Yin |
| 2024 | Adaptive Spatial-Temporal Modelling For Human Motion Prediction. Jianhua Zhang, Huiyu Zhou, Na Lv |
| 2024 | Adaptive Tilt-Series Alignment With Feature Resampling in Cryo-Electron Tomography. Ranhao Zhang, Mingtao Huang, Xueming Li, Yuan Shen |
| 2024 | Adaptively Hierarchical Quantization Variational Autoencoder Based on Feature Decoupling and Semantic Consistency for Image Generation. Ying Zhang, Hyunhee Park, Hanchao Jia, Fan Wang, Jianxing Zhang, Xiangyu Kong |
| 2024 | Adaptrack: Adaptive Thresholding-Based Matching for Multi-Object Tracking. Kyujin Shim, Kangwook Ko, Jubi Hwang, Changick Kim |
| 2024 | Adaptxray: Vision Transformer And Adapter In X-Ray Images For Prohibited Items Detection. Yaobin Huang, Hongxia Gao, Xiaomeng Li |
| 2024 | AdvART: Adversarial Art for Camouflaged Object Detection Attacks. Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani |
| 2024 | Advanced Object Detection in Multibeam Forward-Looking Sonar Images Using Linear Cross-Attention Techniques. Gangqi Chen, Zhaoyong Mao, Junge Shen |
| 2024 | Advancing Colorectal Polyp Segmentation With Watershed Algorithm-Enhanced Parallel Self-Supervised Learning. Khalil Chikhaoui, Motaz Alfarraj |
| 2024 | Adversarial Detection Transformer For Kuzushiji Recognition. Pengfeng Lu, Sei-ichiro Kamata, Mengyunqiu Zhang, Weilian Zhou |
| 2024 | Adversarial EM For Partially-Supervised Image-Quality Enhancement: Application To Low-Dose Pet Imaging. Vatsala Sharma, Suyash P. Awate |
| 2024 | Adversarial Robustness for Deep Metric Learning. Ezgi Paket, Inci M. Baytas |
| 2024 | Adversarially Robust Continual Learning with Anti-Forgetting Loss. Koki Mukai, Soichiro Kumano, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki |
| 2024 | Aerial View River Landform Video Segmentation: A Weakly Supervised Context-Aware Temporal Consistency Distillation Approach. Chi-Han Chen, Chieh-Ming Chen, Wen-Huang Cheng, Ching-Chun Huang |
| 2024 | Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration. Yichen Shi, Feifei Zhang, Wenming Yang, Guijin Wang, Nan Su |
| 2024 | Alignface: Enhancing Face Verification Models Through Adaptive Alignment Of Pose, Expression, and Illumination. Sahar Husseini, Jean-Luc Dugelay |
| 2024 | All Skeletons are Created Equal! A Domain Adaptation Transformer to Handle Multiple Topologies. Giulia Martinelli, Nicola Garau, Niccolò Bisagno, Nicola Conci |
| 2024 | An Anchor-Free Contour-Based Method For Instance Segmentation. Tzu-Han Huang, Wen-Jiin Tsai |
| 2024 | An Explainable Spectral Analysis For Light Field Image Quality Assessment. Shengyang Zhao, Xin Jin |
| 2024 | An Image Decomposition-Guided Network for Image Interpolation. Jiahuan Ji, Baojiang Zhong, Kai-Kuang Ma, Fuhui Zhou, Qihui Wu |
| 2024 | An Indoor Scene Localization Method Using Graphical Summary of Multi-View RGB-D Images. Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav |
| 2024 | An International Standard For Assessing Trustworthiness In Media. Deepayan Bhowmik, Sabrina B. Caldwell, Jaime Delgado, Touradj Ebrahimi, Nikolaos Fotos, Xiaojun Gu, Ziyuan Hu, Xin Kang, Fernando Pereira, Leonard Rosenthol, Frederik Temmermans, Haibo Zhou |
| 2024 | An Interpretable Deep Graph Neural Network Based On Attentional Multi-Scale Feature Fusion for FMRI Analysis. Likai Wang, Tao Zhu, Yipu Zhang |
| 2024 | An Optimal Transport-Based Method For Medical Image Generation. Bohan Lei, Yueting Zhuang, Xiaoyin Xu, Min Zhang |
| 2024 | An α-Divergence Approach To Robust Canonical Correlation Analysis. Wenjing Yang, Abd-Krim Seghouane, Pavel Krupskiy |
| 2024 | Analyzing Visible Articulatory Movements in Speech Production For Speech-Driven 3D Facial Animation. Hyung Kyu Kim, Sangmin Lee, Hak Gu Kim |
| 2024 | Anomaly Detection for the Identification of Volcanic Unrest in Satellite Imagery. Robert Gabriel Popescu, Nantheera Anantrasirichai, Juliet Biggs |
| 2024 | Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique |
| 2024 | Apnet: Generating Precise Anomaly Prior Information for Mixed-Supervised Defect Detection. Guanji Li, Hongxia Gao |
| 2024 | Are Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis. Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Mohamed Deriche |
| 2024 | Assessing Video Shakiness: A Novel Data And Protocols Framework. Borhen-Eddine Dakkar, Azeddine Beghdadi, Stefania Colonnese, Naveed Iqbal, Azzedine Zerguine |
| 2024 | Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency For Blind Image Quality Assessment. Mohammed Alsaafin, Musab Alsheikh, Saeed Anwar, Muhammad Usman |
| 2024 | Attention Enhancement With Parallel Groups for Remote Sensing Object Detection. Zhigang Yang, Yiming Liu, Zehao Gao, Jiayue He, Tao Chen, Wei Emma Zhang |
| 2024 | Attention-Based Few-Shot Diagnosis of Chest X-Rays Using Semantic Signatures. Devi Prasad Maharathy, Prabhala Sandhya Gayatri, Angshuman Paul |
| 2024 | Automated Segmentation of Lung Regions in 3D CT Scans Using Hybrid Unsupervised-Supervised Models. Ahmed Sharafeldeen, Adel Khelifi, Mohammed Ghazal, Maha Yaghi, Sohail Contractor, Ayman El-Baz |
| 2024 | B-Walk: Bernoulli Principle Guided Biased Random Walk for Curve Connection. Zhuang Sun, Li Chen, Zhida Feng, Xiaoming Liu |
| 2024 | Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2024 | Bi-Directional Tracklet Embedding for Multi-Object Tracking. H. Çagriota Bilgi, A. Aydiotan Alatan |
| 2024 | Bi-Predictive Intra Block Copy for Enhanced Video Coding Beyond VVC. Yoshitaka Kidani, Haruhisa Kato, Kei Kawamura |
| 2024 | Bidfuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion. Wangzhi Xing, Diqi Chen, Mohammad Aminul Islam, Jun Zhou |
| 2024 | Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition. Ryota Kondo, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging. Ayush Somani, Anshul Gupta, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad |
| 2024 | Bmt-Bench: A Benchmark Sports Dataset For Video Generation. Ziang Shi, Yang Xiao, Da Yan, Min-Te Sun, Wei-Shinn Ku, Bo Hui |
| 2024 | Box-Level Class-Balanced Sampling For Active Object Detection. Jingyi Liao, Xun Xu, Chuan-Sheng Foo, Lile Cai |
| 2024 | Bri3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception. Aniket Roy, Anirban Roy, Soma Mitra, Kuntal Ghosh |
| 2024 | Burnsnet: Burn Region Segmentation Network From Color Images With Two-Way CNN. Joohi Chauhan, Paul L. Rosin, Puneet Goyal |
| 2024 | CAPTIV8: A Comprehensive Large Scale Capsule Endoscopy Dataset For Integrated Diagnosis. Anuja Vats, Bilal Ahmad, Pål Anders Floor, Ahmed Kedir Mohammed, Marius Pedersen, Øistein Hovde |
| 2024 | CLIFS: Clip-Driven Few-Shot Learning for Baggage Threat Classification. Abdelfatah Hassan Ahmed, Divya Velayudhan, Mahmoud Elmezain, Muaz Al Radi, Abderrahmene Boudiaf, Taimur Hassan, Mohamed Deriche, Mohammed Bennamoun, Naoufel Werghi |
| 2024 | CM Ruoyu Wang, Chen Cai, Wenqian Wang, Jianjun Gao, Dan Lin, Wenyang Liu, Kim-Hui Yap |
| 2024 | CST-Yolo: A Novel Method For Blood Cell Detection Based On Improved Yolov7 And CNN-Swin Transformer. Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan |
| 2024 | Cafct-Net: A Cnn-Transformer Hybrid Network With Contextual And Attentional Feature Fusion For Liver Tumor Segmentation. Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan |
| 2024 | Camera Calibration Through Geometric Constraints from Rotation and Projection Matrices. Muhammad Waleed, Abdul Rauf, Murtaza Taj |
| 2024 | Camouflaged Object Detection Via Style Transfer-Based Data Augmentation. Dongni Lu, Jiaxuan Chen, Haiyan Chen, Ziyi Peng, Rong Quan, Jie Qin |
| 2024 | Cascading Unknown Detection With Known Classification For Open Set Recognition. Daniel Brignac, Abhijit Mahalanobis |
| 2024 | Caseg: Clip-Based Action Segmentation With Learnable Text Prompt. Suyuan Huang, Haoxin Zhang, Yanyu Xu, Yan Gao, Yao Hu, Zengchang Qin |
| 2024 | Category-Agnostic Pose Estimation for Point Clouds. Bowen Liu, Wei Liu, Siang Chen, Pengwei Xie, Guijin Wang |
| 2024 | Cell Cycle State Prediction Using Graph Neural Networks. Sayan Acharya, Aditya Ganguly, Ram Sarkar, Abin Jose |
| 2024 | CenterRadarNet: Joint 3D Object Detection and Tracking Framework Using 4D FMCW Radar. Jen-Hao Cheng, Sheng-Yao Kuan, Hou-I Liu, Hugo Latapie, Gaowen Liu, Jenq-Neng Hwang |
| 2024 | Characterization Of Dim Light Response In DVS Pixel: Discontinuity of Event Triggering Time. Xiao Jiang, Fei Zhou |
| 2024 | Chatgpt and Biometrics: an Assessment of Face Recognition, Gender Detection, and Age Estimation Capabilities. Ahmad Hassanpour, Yasamin Kowsari, Hatef Otroshi-Shahreza, Bian Yang, Sébastien Marcel |
| 2024 | Class-Specific Channel Attention For Few Shot Learning. Yi-Kuan Hsieh, Jun-Wei Hsieh, Ying-Yu Chen |
| 2024 | ClearDepth: Addressing Depth Distortions Caused By Eyelashes For Accurate Geometric Gaze Estimation On Mobile Devices. Jamie Koerner, Vivienne Sze |
| 2024 | Clip-Based Composition-Aware Image Cropping. Shuo Zhang, Xinyu Yang, Xiwen Bai, Yu Li |
| 2024 | Clip-Medfake: Synthetic Data Augmentation With AI-Generated Content for Improved Medical Image Classification. Honghui Chen, Baoquan Zhao, Guanghui Yue, Weide Liu, Chenlei Lv, Ruomei Wang, Fan Zhou |
| 2024 | Clouds and Haze Co-Removal Based on Weight-Tuned Overlap Refinement Diffusion Model for Remote Sensing Images. Jingxuan Zhang, Libao Zhang |
| 2024 | Co2Wounds-V2: Extended Chronic Wounds Dataset from Leprosy Patients. Karen Sanchez, Carlos Hinojosa, Olinto Mieles, Chen Zhao, Bernard Ghanem, Henry Arguello |
| 2024 | Coarse-Fine Spectral-Aware Deformable Convolution for Hyperspectral Image Reconstruction. Jincheng Yang, Lishun Wang, Miao Cao, Huan Wang, Yinping Zhao, Xin Yuan |
| 2024 | Coarse-To-Fine Spatio-Temporal Luminance-Aware Reconstruction For High-Speed Motion Scene. Zhangke Wang, Na Qi, Xiyuan Zhao, Wei Xu, Jingzhong Qi, Qing Zhu |
| 2024 | Codamal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes. Ishan Rajendrakumar Dave, Tristan de Blegiers, Chen Chen, Mubarak Shah |
| 2024 | Collaborative Intelligence For Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework. Monikka Roslianna Busto, Shohei Enomoto, Takeharu Eda |
| 2024 | Combining Raft-Based Stereo Disparity and Optical Flow Models For Scene Flow Estimation. Huizhu Pan, Ling Li, Senjian An, Hui Xie |
| 2024 | Comparison of Crowdsourcing And Laboratory Settings for Subjective Assessment of Video Quality and Acceptability & Annoyance. Ali Ak, Abhishek Gera, Denise Noyes, Hassene Tmar, Ioannis Katsavounidis, Patrick Le Callet |
| 2024 | Competitive Learning For Achieving Content-Specific Filters In Video Coding For Machines. Honglei Zhang, Jukka I. Ahonen, Nam Le, Ruiying Yang, Francesco Cricri |
| 2024 | Compression-Aware Tuning for Compressing Volumetric Radiance Fields. Luyang Tang, Yongqi Zhai, Ronggang Wang |
| 2024 | Computationally Efficient Kalman Filter Framework for Intra-Frame Image Reconstruction with a Rolling Shutter Camera. Sabeethan Kanagasingham, Andrew R. Mills, Visakan Kadirkamanathan |
| 2024 | Conditional Optimal Filter Selection For Multispectral Object Classification. Katja Kossira, David Schön, Jürgen Seiler, André Kaup |
| 2024 | Conditional Past Experience Generation for Dark Continual Learning. Cheng Feng, Chaoliang Zhong, Jie Wang, Jun Sun, Yasuto Yokota |
| 2024 | Confidence Aware Stereo Matching for Realistic Cluttered Scenario. Junhong Min, Youngpil Jeon |
| 2024 | Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer. Seyed Alireza Hosseini, Tam Thuc Do, Gene Cheung, Yuichi Tanaka |
| 2024 | Content-Aware Supervision For Diffusion-Based Restoration of Extremely Compressed Background For VCM. Le Thi Hue Dao, An Gia Vien, Jooyoung Lee, Seyoon Jeong, Naeun Yang, Chul Lee |
| 2024 | Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression. Yutong Zhang, Wenbo Zhao, Daxin Li, Junjun Jiang, Xianming Liu |
| 2024 | Contextuality Helps Representation Learning for Generalized Category Discovery. Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang |
| 2024 | Continual Road-Scene Semantic Segmentation Via Feature-Aligned Symmetric Multi-Modal Network. Francesco Barbato, Elena Camuffo, Simone Milani, Pietro Zanuttigh |
| 2024 | Contour-Weighted Loss For Class-Imbalanced Image Segmentation. Zhengyong Huang, Yao Sui |
| 2024 | Contrast-Guided Wireframe Parsing. Xueyuan Chen, Baojiang Zhong |
| 2024 | Controllable Unsupervised Event-Based Video Generation. Yaping Zhao, Pei Zhang, Chutian Wang, Edmund Y. Lam |
| 2024 | Convex-Hull Estimation using Xpsnr for Versatile Video Coding. Vignesh V. Menon, Christian R. Helmrich, Adam Wieckowski, Benjamin Bross, Detlev Marpe |
| 2024 | Convolutional Neural Network With Learnable Masks For EIT Based Tactile Sensing. Ibrar Amin, Ruiyuan Kang, Hasan Al-Marzouqi, Zeyar Aung, Panos Liatsis |
| 2024 | Correlation-Aware Joint Pruning-Quantization using Graph Neural Networks. Muhammad Nor Azzafri Nor-Azman, Usman Ullah Sheikh, Mohammed Sultan Mohammed, Jeevan Sirkunan, Muhammad Nadzir Marsono |
| 2024 | Counting Repetitive Actions in Event Stream. Yuelong Zhuo, Weiling Li, Beibei Yang, Yan Fang, Huaqiang Yuan |
| 2024 | Crocos-V1: Enhancing Mask Leakage and Bounding Box Localization for Real-Time Crop/Weed Instance Segmentation. Jesus Franco-Robles, Jorge E. Avilés-Mejia, Ouiddad Labbani-Igbida |
| 2024 | Cross-Action Cross-Subject Skeleton Action Recognition Via Simultaneous Action-Subject Learning With Two-Step Feature Removal. Yu Mitsuzumi, Akisato Kimura, Go Irie, Atsushi Nakazawa |
| 2024 | Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | Cross-Fusion of Band-Specific Spectral Features For Multi-Band NIR Colorization. Gyeong-Eun Youm, Tae-Sung Park, Jong-Ok Kim |
| 2024 | Cross-Modal Alignment of Local and Global Features for Zero-Shot Chinese Character Recognition. Hongyi Cai, Anna Zhu |
| 2024 | Crowdassign: A Label Assignment Scheme for Pedestrian Detection in Crowded Scenes. Zihao Li, Ning Luo, Xiwen Zhang, Ziliang Guo, Xingqi Fang, Yu Qiao |
| 2024 | DALSM: A Direction-Aware Line Segment Matching Method. Zhiyu Liu, Baojiang Zhong |
| 2024 | DAPlankton: Benchmark Dataset For Multi-Instrument Plankton Recognition Via Fine-Grained Domain Adaptation. Daniel Batrakhanov, Tuomas Eerola, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, María Teresa Camarena-Gómez, Jukka Seppälä, Heikki Kälviäinen |
| 2024 | DCCM: Dual Data Consistency Guided Consistency Model for Inverse Problems. Jiahao Tian, Ziyang Zheng, Xinyu Peng, Yong Li, Wenrui Dai, Hongkai Xiong |
| 2024 | DTSN: No-Reference Image Quality Assessment via Deformable Transformer and Semantic Network. Long Tang, Liang Yuan, Guoquan Zheng, Zesheng Wang, Guangtao Zhai |
| 2024 | Dcctnet: Kidney Tumors Segmentation Based On Dual-Level Combination Of Cnn And Transformer. Bingzhen Hou, Guimei Zhang, Huiqun Liu, Yipeng Qin, Ying Chen |
| 2024 | Declouding of Satellite Images for Crop Growth Monitoring Via Unrolling of Gradient Graph Laplacian Regularizer. Parham Eftekhar, Gene Cheung, Tim Eadie |
| 2024 | Decompl: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image. Berker Demirel, Huseyin Ozkan |
| 2024 | Decoupling Domain Invariance and Variance With Tailored Prompts for Open-Set Domain Adaptation. Shihao Zeng, Xinghong Liu, Yi Zhou |
| 2024 | Deep Convolutional Neural Network Prediction For Glaucoma Detection Using OCT and OCT-Angiography Disc-and Macula-Centered Images and Their Combined Power. Gouverneur François, Pourjavan Sayeh, Macq Benoit |
| 2024 | Deep Fusion of Visible and Near Infrared Images for Registration and Defogging Using Cross Modal Transformer. Mengyao Ji, Cheolkon Jung |
| 2024 | Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading. Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Avinash Gopal, Johannes Stegmaier, Sonit Singh, Abin Jose |
| 2024 | Deep Learning-Based Leaf Image Analysis for Tomato Plant Disease Detection and Classification. Ammar Chouchane, Abdelmalik Ouamane, El Ouanas Belabbaci, Yassine Himeur, Abbes Amira |
| 2024 | Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals. Kai-Jun See, Chee-Ming Ting, Fuad Noman, Junn Yong Loo, Yee-Fan Tan, Hernando Ombao, Raphaël C.-W. Phan |
| 2024 | Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention. Xuezhi Xiang, Yiming Chen, Denis Ombati, Lei Zhang, Xiantong Zhen |
| 2024 | Deep Regularization For Scale-Agnostic Superresolution of MR Images. K. Pavan Kumar Reddy, Kunal N. Chaudhury |
| 2024 | Deep Spectral Siamese Network For Heterogeneous Object Verification In Amazon Robotic Warehouse. Maryam Rahnemoonfar |
| 2024 | Deep-Learning-Based Magnetic Resonance Simultaneous Multislice Imaging Using Holographic Image Decoding. Satoshi Ito, Yuki Sato, Naoya Endo, Shohei Ouchi |
| 2024 | Deepfake Detection Via Separable Self-Consistency Learning. Lin Lu, Yunhong Wang, Wenqi Zhuo, Liang Zhang, Guangshuai Gao, Yuanfang Guo |
| 2024 | Deepfake Detection With Combined Unsupervised-Supervised Contrastive Learning. Junshuai Zheng, Yichao Zhou, Xiyuan Hu, Zhenmin Tang |
| 2024 | Deepskinformer: Skin Lesion Segmentation Using Hierarchical Transformers And Edge Enhancement. Ufaq Khan, Umair Nawaz, Mustaqeem Khan, Wail Gueaieb, Abdulmotaleb El Saddik |
| 2024 | Defending Against Physical Adversarial Patch attacks On Infrared Human Detection. Lukas Strack, Futa Waseda, Huy H. Nguyen, Yinqiang Zheng, Isao Echizen |
| 2024 | Delving into the Explainability of Prototype-Based CNN for Biological Cell Analysis. Martin Blanchard, Olivier Delézay, Christophe Ducottet, Damien Muselet |
| 2024 | Density-Guided Dense Pseudo Label Selection for Semi-Supervised Oriented Object Detection. Tong Zhao, Qiang Fang, Shuohao Shi, Xin Xu |
| 2024 | Detectability of Defects in the Presence of Linear Nuisance Parameters and Images Signal-Dependent Noise. Rémi Cogranne |
| 2024 | Detecting Biomedical Copy-Move Forgery by Attention-Based Multiscale Deep Descriptors. Hao-Chiang Shao, Tse-Yu Tseng, Yuan-Rong Liao, Chi-Chun Chen, Chung-Yang Hung, Ming-hsin Liang |
| 2024 | Directional And Topological Transformer With Topology Priors For 4D Cellular Image Segmentation. Zelin Li, Zhaoke Huang, Zhen Zhu, Sicheng You, Zhongying Zhao, Hong Yan |
| 2024 | Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition. Julian Strohmayer, Martin Kampel |
| 2024 | Disentangled Knowledge Distillation for Unified Multi-Class Anomaly Detection. Jiyong Jang, Hayeon Lee, Younkwan Lee |
| 2024 | Distinctive Image Captioning: Leveraging Ground Truth Captions in Clip Guided Reinforcement Learning. Antoine Chaffin, Ewa Kijak, Vincent Claveau |
| 2024 | Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning. Ling Yue, Lin Feng, Qiuping Shuai, Lingxiao Xu, Zihao Li |
| 2024 | Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy. Stanislav Dereka, Ivan Karpukhin, Maksim Zhdanov, Sergey Kolesnikov |
| 2024 | Domain Dilation for Single Domain Generalization. Yuehui Fan, Baoyao Yang, Meng Shen, Fei Lyu |
| 2024 | Draft - Distilled Recurrent All-Pairs Field Transforms For Optical Flow. Yanick Christian Tchenko, Hicham Hadj-Abdelkader, Hedi Tabia |
| 2024 | Driving Through Graphs: a Bipartite Graph for Traffic Scene Analysis. Aditya Humnabadkar, Arindam Sikdar, Huaizhong Zhang, Tanveer Hussain, Ardhendu Behera |
| 2024 | Dtpose: Learning Disentangled Token Representation For Effective Human Pose Estimation. Shiyang Ye, Yuan Fang, Hong Liu, Hu Chen, Wenchao Du, Hongyu Yang |
| 2024 | Dual Attention Enhanced Transformer for Image Defocus Deblurring. Yuhang He, Senmao Tian, Jian Zhang, Shunli Zhang |
| 2024 | Dual Multi-Modal Feature Fusion Network for the Evaluation of Osteosarcoma. Zequn Song, Lingfeng Wang |
| 2024 | Dual-Path Coupled Image Deraining Network Via Spatial-Frequency Interaction. Yuhong He, Aiwen Jiang, Lingfang Jiang, Long Peng, Zhifeng Wang, Lu Wang |
| 2024 | Dynamic Activation Function Based on the Branching Process and its Application in Image Classification. Wanting Zhang, Libao Zhang |
| 2024 | Dynamic MRI Reconstruction Using Low-Rank Plus Sparse Decomposition With Smoothness Regularization. Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao |
| 2024 | E2GS: Event Enhanced Gaussian Splatting. Hiroyuki Deguchi, Mana Masuda, Takuya Nakabayashi, Hideo Saito |
| 2024 | E2SIFT: Neuromorphic SIFT via Direct Feature Pyramid Recovery from Events. Chris Henry, Paras Maharjan, Zhu Li, George York |
| 2024 | ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation. Erik Brorsson, Knut Åkesson, Lennart Svensson, Kristofer Bengtsson |
| 2024 | ET: Explain to Train: Leveraging Explanations to Enhance the Training of A Multimodal Transformer. Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari |
| 2024 | Early Prediction Of The Transferability Of Bovine Embryos From Videomicroscopy. Yasmine Hachani, Patrick Bouthemy, Elisa Fromont, Sylvie Ruffini, Ludivine Laffont, Alline de Paula Reis |
| 2024 | EarthquakeNet: A High-Resolution UAV-Based Dataset for Earthquake Damage Assessment. Shenlu Jiang, Yuxin Bian, Yiran Wang, Xufeng Li, Zhankeng Liu, Yi Ren, Yunxuan Zhao |
| 2024 | Edge-Guided Pixel Level Connected Component Assisted Camouflaged Object Detection. Qingwang Wang, Xin Qu, Liyao Zhou, Pengcheng Jin, Chengbiao Fu, Tao Shen |
| 2024 | Edge-Reserved Knowledge Distillation for Image Matting. Jiasheng Wang, Zhenhua Wang, Jifeng Ning |
| 2024 | Efficient Black-Box Adversarial Attack on Deep Clustering Models. Nan Yang, Zihan Li, Zhen Long, Xiaolin Huang, Ce Zhu, Yipeng Liu |
| 2024 | Efficient Circular and Confocal Non-Line-Of-Sight Imaging With Transient Sinogram Super Resolution. Dixin Yang, Mariko Isogawa |
| 2024 | Efficient Learned Wavelet Image and Video Coding. Anna Meyer, Srivatsa Prativadibhayankaram, André Kaup |
| 2024 | Efficient Semantic Segmentation For Aerial Imagery Using Query Points and Superpixel Supervision. Santiago Rivier, Carlos Hinojosa, Silvio Giancola, Bernard Ghanem |
| 2024 | Efficient Visual Question Answering on Embedded Devices: Cross-Modality Attention With Evolutionary Quantization. Aakansha Mishra, Aditya Agarwala, Utsav Tiwari, Vikram Nelvoy Rajendiran, Srinivas Soumitri Miriyala |
| 2024 | Embedding Attention Blocks For Answer Grounding. Seyedalireza Khoshsirat, Chandra Kambhamettu |
| 2024 | Empirical Research On Quantization For 3D Multi-Modal Vit Models. Zicong Hu, Jian Cao, Weichen Xu, Ruilong Ren, Tianhao Fu, Xinxin Xu, Xing Zhang |
| 2024 | End-to-End Learned Lossy Dynamic Point Cloud Attribute Compression. Dat Thanh Nguyen, Daniel Zieger, Marc Stamminger, André Kaup |
| 2024 | End-to-End Learned Scalable Multilayer Feature Compression For Machine Vision Tasks. Qiaoxi Chen, Changsheng Gao, Dong Liu |
| 2024 | Energy Reduction Opportunities in HDR Video Encoding. Christian Herglotz, Steven Le Moan, Alexandre Mercat |
| 2024 | Enhanced Detection of Small Objects in Aerial Imagery: A High-Resolution Neural Network Approach With Amplified Feature Pyramid and Sigmoid Re-Weighting. Chanyeong Park, Junbo Jang, Heegwang Kim, Joonki Paik |
| 2024 | Enhanced Facial Restoration with Misinformation-Filtered Guide-Denoising Diffusion Probabilistic Models. Wendi Liang, Yihan Wen, Zewei Wang, Jianuo Jiang, Tat-Ming Lok, Guanchong Niu |
| 2024 | Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes. Bhushan Atote, Victor Sanchez |
| 2024 | Enhancing Intubation Accuracy: Advanced Tracheal Segmentation Techniques In Video Endoscopy. Adel Oulefki, Abbes Amira, Fatih Kurugollu, Thaweesak Trongtirakul, Sos S. Agaian, Menen Kassim Mohammed, Mohammad Alshoweky |
| 2024 | Enhancing Perceptual Quality Assessment for 360-Degree Images Based on Adaptive Patch Labeling and Multi-Label Learning. Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2024 | Enhancing TMIV Performance Through Proximity-Aware Grouping and Preservation of Small Clusters. Mahshad MahdaviMoghadam, Stéphane Coulombe, Carlos Vázquez, Mohammadreza Jamali, Ahmad Vakili |
| 2024 | Ensemble of Deep Variational Mixture Models for Unsupervised Clustering. Xu Tan, Junqi Chen, Jiawei Yang, Sylwan Rahardja, Mou Wang, Susanto Rahardja |
| 2024 | Estate: Expert-Guided State Text Enhancement for Zero-Shot Industrial Anomaly Detection. Bingke Zhu, Hao Li, Changlin Chen, Liujie Hua, Jinqiao Wang |
| 2024 | Estimating Indoor Scene Depth Maps From Ultrasonic Echoes. Junpei Honma, Akisato Kimura, Go Irie |
| 2024 | Evaluating 3D Human Pose Estimation in Occluded Multi-Sensor Scenarios: Dataset and Annotation Approach. Kévin Riou, Kaiwen Dong, Yujie Huang, Kévin Subrin, Patrick Le Callet, Yanjing Sun |
| 2024 | Event-Specific EEG-FNIRS Feature Fusion FOR Alzheimer's Disease Classification. Sung-Hyeon Kim, Tae-Min Choi, Sun-Kyung Lee, Minhee Kim, Jae Gwan Kim, Jong-Hwan Kim |
| 2024 | Explaining 3D Object Detection Through Shapley Value-Based Attribution Map. Michihiro Kuroki, Toshihiko Yamasaki |
| 2024 | Explaining Representation Learning With Perceptual Components. Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | Exploiting Change Blindness to Reduce Bitrate and Display Luminance in Video Streaming. Steven Le Moan, Mitra Amiri, Christian Herglotz |
| 2024 | Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation. Zaber Ibn Abdul Hakim, Rasman Mubtasim Swargo, Muhammad Abdullah Adnan |
| 2024 | Exploring Saliency Bias in Manipulation Detection. Joshua Krinsky, Alan Bettis, Qiuyu Tang, Daniel Moreira, Aparna Bharati |
| 2024 | Exploring the Impact of Moire Pattern on Deepfake Detectors. Razaib Tariq, Shahroz Tariq, Simon S. Woo |
| 2024 | Exploring the Potential of Recurrence Quantification Analysis for Video Analysis and Motion Detection. Theodora Kyprianidi, Effrosyni Doutsi, George Tzagkarakis, Panagiotis Tsakalides |
| 2024 | Exploring the Potential of Synthetic Data to Replace Real Data. Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya |
| 2024 | Exposing the Limits of Deepfake Detection using novel Facial mole attack: A Perceptual Black- Box Adversarial Attack Study. Qurat Ul Ain, Ali Javed, Khalid Mahmood Malik, Aun Irtaza |
| 2024 | Extended Multiple Cross-Component Linear Models With Adaptive Thresholding and Overlapped Averaging Beyond VVC. Haruhisa Kato, Yoshitaka Kidani, Kei Kawamura |
| 2024 | Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation. Juhyeong Seon, Woobin Im, Sebin Lee, Jumin Lee, Sung-Eui Yoon |
| 2024 | FAWN: Floor-and-Walls Normal Regularization for Direct Neural TSDF Reconstruction. Anna Sokolova, Anna Vorontsova, Bulat Gabdullin, Alexander Limonov |
| 2024 | FC3DNET: A Fully Connected Encoder-Decoder for Efficient Demoiréing. Zhibo Du, Long Peng, Yang Wang, Yang Cao, Zheng-Jun Zha |
| 2024 | FEDMI: A Federated Learning Framewoek for Secure Sharing of Medical Images. Zhongyuan Jing, Hongyan Xiang, Ruyan Wang |
| 2024 | FREQ-MIP-AA: Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields. Youngin Park, Seungtae Nam, Cheul-Hee Hahm, Eunbyung Park |
| 2024 | Face Drawing GAN by Channel Attention and Matrix Product Attention. Hideyuki Ogura, Shinya Ezumi, Masaaki Ikehara |
| 2024 | Face Morphing Detection in Social Media Content. Akshay Agarwal, Nalini K. Ratha |
| 2024 | Factorized Embedding Graph Matching Network For Learning Lawler's Quadratic Assignment Problem. Yirui Yang, Xubin Lin, Li He, Yisheng Guan, Hong Zhang |
| 2024 | Fanet: Feature Amplification Network for Semantic Segmentation in Cluttered Background. Muhammad Ali, Mamoona Javaid, Mubashir Noman, Mustansar Fiaz, Salman Khan |
| 2024 | Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation. Anupam Borthakur, Apoorva Srivastava, Avik Kar, Dipayan Dewan, Debdoot Sheet |
| 2024 | Fast Coding Mode Prediction for Intra Prediction in VVC SCC. Dayong Wang, Junyi Yu, Xin Lu, Frédéric Dufaux, Hongwei Guo, Hui Guo, Ce Zhu |
| 2024 | Fast Constant-Quality Video Encoding Using VVENC With Rate Capping Based On Pre-Analysis Statistics. Christian R. Helmrich, Valeri George, Vignesh V. Menon, Adam Wieckowski, Benjamin Bross, Detlev Marpe |
| 2024 | Fast Edge-Aware Occlusion Detection In The Context of Multispectral Camera Arrays. Frank Sippel, Jürgen Seiler, André Kaup |
| 2024 | Fast Inter Mode Decision with Resolution Sampling For VVC 360-Degree Video Coding. Yifan Qiang, Naian Liu |
| 2024 | Fast Template Matching-Based Reference Picture Padding for Video Coding. Nicolas Neumann, Priyanka Das, Tim Classen, Mathias Wien |
| 2024 | Fast Unsupervised Tensor Restoration via Low-Rank Deconvolution. David Reixach, Josep Ramon Morros |
| 2024 | Feature Decomposition Transformers for Infrared and Visible Image Fusion. Gahyeon Kim, An Gia Vien, Duong Hai Nguyen, Chul Lee |
| 2024 | Feature Enhanced Learning Image Compression With Recurrent Criss-Cross Attention. Xue Wu, Tong Tang, Zhiyuan Zhu, Hong Zou |
| 2024 | Features Disentanglement For Explainable Convolutional Neural Networks. Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri |
| 2024 | FedAWA: Aggregation Weight Adjustment in Federated Domain Generalization. Yiming Chen, Nan He, Lifeng Sun |
| 2024 | Fine-Detailed Neural Indoor Scene Reconstruction Using Multi-Level Importance Sampling And Multi-View Consistency. Xinghui Li, Yuchen Ji, Xiansong Lai, Wanting Zhang, Long Zeng |
| 2024 | Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation. AprilPyone MaungMaung, Huy H. Nguyen, Hitoshi Kiya, Isao Echizen |
| 2024 | Fisheye Stereo Camera Using Fisheye Vertical Stereo Method. Hikaru Chikugo, Kento Arai, Sarthak Pathak, Kazunori Umeda |
| 2024 | FlexAE: A Self-Conditioned Detector To Prevent Model Overfitting For Unsupervised Video Anomaly Detection. Junqi Chen, Xu Tan, Jiawei Yang, Sylwan Rahardja, Susanto Rahardja |
| 2024 | Food: Facial Authentication And Out-Of-Distribution Detection With Short-Range FMCW Radar. Sabri Mustafa Kahya, Boran Hamdi Sivrikaya, Muhammet Sami Yavuz, Eckehard G. Steinbach |
| 2024 | Footbots: A Transformer-Based Architecture for Motion Prediction in Soccer. Guillem Capellera, Luis Ferraz, Antonio Rubio, Antonio Agudo, Francesc Moreno-Noguer |
| 2024 | Fourier Ptychography Microscopy With Integrated Positional Misalignment Correction. Juliana Do Nascimento Damurie Da Silva, Patrick Horain |
| 2024 | Fourier Ptychography With Information Entropy Based No-Reference Image Quality Assessment Learning. Qijun Yang, Hujun Yin |
| 2024 | Frequency-Spatial Domain Information Fusion Network for Pan-Sharpening. Mengjiao Zhao, Mengting Ma, Ao Gao, Wei Zhang |
| 2024 | Full-Reference Point Cloud Quality Assessment Using Spectral Graph Wavelets. Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2024 | Fusion of Independent and Interactive Features for Human-Object Interaction Detection. Zehai Wu, Lijie Sheng, Songnian Zhang, Qiguang Miao |
| 2024 | GEEG-YOLOv8: Gaussian Enhanced Euclidean Norm Ghost Attention for Real-Time Polyp Detection. Phuong Thao Nguyen, Hiroshi Watanabe |
| 2024 | Gabic: Graph-Based Attention Block for Image Compression. Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti |
| 2024 | Gabor Feature Network for Transformer-Based Building Change Detection Model in Remote Sensing. Priscilla Indira Osa, Josiane Zerubia, Zoltan Kato |
| 2024 | Gaitgs: Temporal Feature Learning in Granularity And Span Dimension for Gait Recognition. Haijun Xiong, Yunze Deng, Bin Feng, Xinggang Wang, Wenyu Liu |
| 2024 | Generalized Nested Latent Variable Models For Lossy Coding Applied To Wind Turbine Scenarios. Raül Pérez-Gonzalo, Andreas Espersen, Antonio Agudo |
| 2024 | Generate DSLR-Like Image With Global Information and Prior Guided ISP. Lu Xu, Chao Zhang, Yasi Wang, Qiang Wang |
| 2024 | Generative Visual Compression: A Review. Bolin Chen, Shanzhi Yin, Peilin Chen, Shiqi Wang, Yan Ye |
| 2024 | Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation. Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown |
| 2024 | Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles For Ecg Arrhythmia Classification. Damian Kucharski, Agata M. Wijata, Lu Fu, Weidong Lin, Yumei Xue, Jacek Kawa, Yalin Zheng, Gregory Yoke Hong Lip, Jakub Nalepa |
| 2024 | Gradtrans: Transformer-Based Gradient Guidance for Image Generation. Yiwei Chen, Jiaqian Yu, Siyang Pan, Sangil Jung, Wu Bi, Seung-In Park, Qiang Wang, ByungIn Yoo |
| 2024 | Graph Convolutional Networks With Minimal Appearance Information For Action Recognition. Hiroaki Tani |
| 2024 | Graphic - Graph-Based Representation for Analyzing People's High-Level Interactions in Crowds. Francesco Longobardi, Daniel Riccio |
| 2024 | Guided Context Gating: Learning To Leverage Salient Lesions in Retinal Fundus Images. Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye |
| 2024 | Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields. Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato |
| 2024 | Hand-Object Reconstruction Via Interaction-Aware Graph Attention Mechanism. Taeyun Woo, Tae-Kyun Kim, Jinah Park |
| 2024 | Hdplifter: Hierarchical Dynamics Perception For 2D-to-3D Human Pose Lifting. Ye Lu, Jianjun Gao, Chen Cai, Ruoyu Wang, Duc Tri Phan, Kim-Hui Yap |
| 2024 | Hierarchical Vertex-Wise Intensification Graph Convolution for Skeleton-Based Activity Recognition. Yun Li, Hao Xie, Jun Xiao, Cong Zhang, Tianshan Liu, Kin-Man Lam |
| 2024 | Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation Approach. Leon Suarez-Rodriguez, Roman Jacome, Henry Arguello |
| 2024 | Histohdr-Net: Histogram Equalization for Single LDR to HDR Image Translation. Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong, Abhinav Dhall, Kalin Stefanov |
| 2024 | HoloGesture: A Multimodal Dataset For Hand Gesture Recognition Robust To Hand Textures On Head-Mounted Mixed-Reality Devices. Jeongwoo Park, Je Hyeong Hong |
| 2024 | How to Train Your VAE. Mariano Rivera |
| 2024 | Hybrid Single Input and Multiple Output Method For Compressing Features Towards Machine Vision Tasks. Zifu Zhang, Shengxi Li, Tie Liu, Mai Xu, Tao Xu, Zhenyu Guan, Zhuoyi Lv |
| 2024 | Hyperspectral Image Classification With Fuzzy Spatial-Spectral Class Discriminate Information. Muhammad Ahmad, Muhammad Usama, Salvatore Distefano, Manuel Mazzara |
| 2024 | IEEE International Conference on Image Processing, ICIP 2024, Abu Dhabi, United Arab Emirates, october 27-30, 2024 |
| 2024 | IMU-Assisted Target-Free Extrinsic Calibration of Heterogeneous Lidars Based on Continuous-Time Optimization. Zehao Yan, Lin Zhang, Zhong Wang, Shenjie Zhao |
| 2024 | IN-Loop Filter for Object Mask Coding in Versatile Video Coding. Sebastian Schwarz, Miska M. Hannuksela, Döne Bugdayci Sansli |
| 2024 | Illumination-Enhanced Infrared and Low-Light Visible Image Fusion. Guohua Lv, Xinyue Fu, Chaoqun Sima, Yanlong Xu, Baodong Zhang, Hanju Bao |
| 2024 | Image Coding For Machine Via Analytics-Driven Appearance Redundancy Reduction. Xuelin Shen, Haoqiao Ou, Wenhan Yang |
| 2024 | Image Coding For Machines With Edge Information Learning Using Segment Anything. Takahiro Shindo, Kein Yamada, Taiju Watanabe, Hiroshi Watanabe |
| 2024 | Imbalanced Data Robust Online Continual Learning Based on Evolving Class Aware Memory Selection and Built-In Contrastive Representation Learning. Rui Yang, Emmanuel Dellandréa, Matthieu Grard, Liming Chen |
| 2024 | Improvement of Image Reconstruction for MRI Using Phase-Scrambling Fourier Transform and Dual-Domain Strategy. Kazuki Yamato, Satoshi Ito |
| 2024 | Improving Automatic Target Recognition With Infrared Imagery Using Vision Transformers and Focused Data Augmentation. Nada Baili, Hichem Frigui |
| 2024 | Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary Loss. Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda |
| 2024 | Improving Image De-Raining Using Reference-Guided Transformers. Zihao Ye, Jaehoon Cho, Changjae Oh |
| 2024 | Improving Real-Time Near-Infrared Face Alignment With a Paired VIS-NIR Dataset and Data Augmentation Through Image-to-Image Translation. Langning Miao, Ryo Kakimoto, Kaoru Ohishi, Yoshihiro Watanabe |
| 2024 | Improving Self-Supervised Vision Transformers for Visual Control. Wonil Song, Kwanghoon Sohn, Dongbo Min |
| 2024 | Increasing Trust in Image Analysis by Detecting Trellis Quantization in JPEG Images. Nora Hofer |
| 2024 | Instance-Aware Uncertainty for Active Learning in Object Detection. Zhipeng Zhang, Wenting Ma, Xiaohang Yuan, Yuan Hao, Meng Guo, Hongyi Tang, Zhiheng Zhou, Zhenjie Yao |
| 2024 | Integrating Vision-Language Supervision for Uniform Appearance Tracking. Mohamad Alansari, Ahmed Abughali, Obadah Habash, Khaled AlNuaimi, Sajid Javed, Naoufel Werghi |
| 2024 | Intelligent Multi-View Test Time Augmentation. Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | Interactive Teaching For Fine-Granular Few-Shot Object Recognition Using Vision Transformers. Philip Keller, Daniel Jost, Arne Roennau, Rüdiger Dillmann |
| 2024 | Interpreting the Fraudulence Level of Different Finger Photo Presentation Attack Instruments. Anudeep Vurity, Emanuela Marasco, Raghavendra Ramachandra, Duoduo Liao |
| 2024 | Intrinsic Image Decomposition Based on Quantized Prior Codebook. Fangzheng Yuan, Xiaoyue Jiang, Xiaoyi Feng, Moncef Gabbouj |
| 2024 | Investigating Self-Supervised Methods for Label-Efficient Learning. Srinivasa Rao Nandam, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais |
| 2024 | Investigating and Reducing the Impairment of Point Spread Effect For Spatiotemporal Fusion Of Remote Sensing Imagery. Yunfei Li, Jun Li |
| 2024 | JOINTRF: End-To-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression. Zihan Zheng, Houqiang Zhong, Qiang Hu, Xiaoyun Zhang, Li Song, Ya Zhang, Yanfeng Wang |
| 2024 | JPEG Image Ciphering Based on Chaotic Encryption. Meha Hachani, Azza Ouled Zaid |
| 2024 | Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-Onns. Yuxin Xie, Li Yu, Farhad Pakdaman, Moncef Gabbouj |
| 2024 | Joint Image Restoration For Domain Adaptive Object Detection In Foggy Weather Condition. Jing Ma, Meng Lin, Gang Zhou, Zhenhong Jia |
| 2024 | Knowledge-Infused Learning for Fine-Grained Plant Disease Recognition. Jamil Ahmad, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray |
| 2024 | Koopcon: A new approach towards smarter and less complex learning. Vahid Jebraeeli, Bo Jiang, Derya Cansever, Hamid Krim |
| 2024 | LFGN: Low-Level Feature-Guided Network For Adversarial Defense. Chih-Chung Hsu, Ming-Hsuan Wu, En-Chao Liu |
| 2024 | LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network For Multifeatures Segmentation. Tariq M. Khan, Shahzaib Iqbal, Syed Saud Naqvi, Imran Razzak, Erik Meijering |
| 2024 | LSDM-PCB: A Lightweight Small Defect Detection Model for Printed Circuit Board. Qi Zeng, Chongren Zhao, Pengfei He, Hongchao Gao |
| 2024 | LWIRPOSE: A Novel Long Wave Infrared Thermal Image Pose Dataset and Benchmark. Avinash Upadhyay, Bhipanshu Dhupar, Manoj Sharma, Ankit Shukla, Ajith Abraham |
| 2024 | Land Use Classification Via Multi-Modal Complementary Feature Fusion and Context Information Enhancement For Optical and Sar Images. Xinyue Fan, Libao Zhang |
| 2024 | Latent Enhancing Autoencoder for Occluded Image Classification. Ketan Kotwal, Tanay Deshmukh, Preeti Gopal |
| 2024 | Learn By An Example Transformer For Domain Generalization In Video Object Segmentation. Islam I. Osman, Mohamed S. Shehata |
| 2024 | Learned Compression of Encoding Distributions. Mateen Ulhaq, Ivan V. Bajic |
| 2024 | Learned Image Compression Using A Long and Short Attention Module. Zenghui Duan, Cheolkon Jung, Yang Liu, Ming Li |
| 2024 | Learned Image Compression With Text Quality Enhancement. Chih-Yu Lai, Dung N. Tran, Kazuhito Koishida |
| 2024 | Learned Image Compression for Both Humans and Machines via Dynamic Adaptation. Lingyu Zhu, Binzhe Li, Riyu Lu, Peilin Chen, Qi Mao, Zhao Wang, Wenhan Yang, Shiqi Wang |
| 2024 | Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression. Tam Thuc Do, Philip A. Chou, Gene Cheung |
| 2024 | Learning A Rain-Invariant Network For Instance Segmentation In The Rain. Zhiwen Chen, Wei Wu, Zhengfeng Chen |
| 2024 | Learning Orthonormal Features in Self-Supervised Learning using Functional Maximal Correlation. Bo Hu, Yuheng Bu, José C. Príncipe |
| 2024 | Learning Temporal Cues for Fine-Grained Action Recognition. Zhihao Liu, Yi Zhang, Wenhui Huang, Yan Liu, Mengyang Pu, Chao Deng, Junlan Feng |
| 2024 | Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction. Po-Hsuan Huang, Chia-Ching Lin, Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen |
| 2024 | Learning-Based Point Cloud Decoding with Independent and Scalable Reduced Complexity. Mohammadreza Ghafari, André F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira |
| 2024 | Learning-Based Video Compression with Continuously Variable Bitrate Coding. Mingyi Yang, Xionghui Mao, Yujie Yin, Zhiwei Zhu, Defa Wang, Shuai Wan, Fuzheng Yang |
| 2024 | Legit: Text Legibility For User-Generated Media. Maniratnam Mandal, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik |
| 2024 | Lensless Phase Retrieval With Regularization By Blind Noise Map Estimation and Denoising. Igor Shevkunov, Mykola Ponomarenko, Jere Heimo, Karen O. Egiazarian |
| 2024 | Lercpose: Learned Ranking and Contrastive Loss for Robust Head Pose Estimation. Aratrik Chattopadhyay, Harshita Soni, Shuaib Ahmed |
| 2024 | Leveraging Generated Image Captions for Visual Commonsense Reasoning. Subham Das, C. Chandra Sekhar |
| 2024 | LiSD: An Efficient Multi-Task Learning Framework For Lidar Segmentation and Detection. Jiahua Xu, Si Zuo, Chenfeng Wei, Wei Zhou |
| 2024 | Licaf: Lidar-Camera Asymmetric Fusion For Gait Recognition. Yunze Deng, Haijun Xiong, Bin Feng |
| 2024 | Lidar Depth Map Guided Image Compression Model. Alessandro Gnutti, Stefano Della Fiore, Mattia Savardi, Yi-Hsin Chen, Riccardo Leonardi, Wen-Hsiao Peng |
| 2024 | Light-Weight Self-Supervised Contrastive Learning Network For Small Sample Hyperspectral Image Classification. Gan Yang, Zhaohui Wang |
| 2024 | Lightweight Recurrent Neural Network for Image Super-Resolution. Mir Sazzat Hossain, AKM Mahbubur Rahman, Md. Ashraful Amin, Amin Ahsan Ali |
| 2024 | Lightweight Underwater Image Enhancement via Impulse Response of Low-Pass Filter Based Attention Network. May Thet Tun, Yosuke Sugiura, Tetsuya Shimamura |
| 2024 | Lipface: Lipschitz-Conditioned For Resolution Robust Face Recognition. Yu Wei Chen, Huu-Phu Do, Chia-Wei Kuo, Hsuan-Tung Liu, Ching-Chun Huang |
| 2024 | Localization of Image Splicing Under Segment Anything Model With Integrated Compression and Edge Artifacts. Ruhao Zhao, Xian Zhong, Liang Liao, Wenxuan Liu, Wenxin Huang, Zheng Wang |
| 2024 | Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder. Halil Ismail Helvaci, Chen-Nee Chuah, Sally Ozonoff, Sen-ching Samson Cheung |
| 2024 | Long-Term Geo-Positioned Re-Identification Dataset of Urban Elements. Paula Moral, Álvaro García-Martín, José M. Martínez |
| 2024 | Low-Rank Matrix and Tensor Decomposition Using Randomized Two-Sided Subspace Iteration With Application to Video Reconstruction. Maboud F. Kaloorazi, Salman Ahmadi-Asl, Susanto Rahardja |
| 2024 | Lrdif: Diffusion Models For Under-Display Camera Emotion Recognition. Zhifeng Wang, Kaihao Zhang, Ramesh S. Sankaranarayana |
| 2024 | Luminate: Linguistic Understanding and Multi-Granularity Interaction for Video Object Segmentation. Rahul Tekchandani, Ritik Maheshwari, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala |
| 2024 | M3T: Multi-Modal Medical Transformer To Bridge Clinical Context With Visual Insights For Retinal Image Medical Description Generation. Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye |
| 2024 | MAVAD: Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis |
| 2024 | MCT-Net: a Lightweight Multiscale Convolutional Transformer Network for Polyp Segmentation. Niladri Chakraborti, Deepak Ranjan Nayak |
| 2024 | MFLFC: Multi-Frame Fusion Based Low-Resolution Feature Compression For Object Tracking. Yi Peng, Zixiang Zhang, Li Yu |
| 2024 | MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction. Lianwei Yang, Zhikai Li, Junrui Xiao, Haisong Gong, Qingyi Gu |
| 2024 | MMAQ: A Multi-Modal Self-Supervised Approach For Estimating Air Quality From Remote Sensing Data. Georgios-Fotios Angelis, Alexandros Emvoliadis, Anastasios Drosou, Dimitrios Tzovaras |
| 2024 | MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO. Shubhabrata Mukherjee, Cory C. Beard, Zhu Li |
| 2024 | MSD-CRFS: Multi-Scale Dual Aggregation Conditional Random Fields for Monocular Depth Estimation. Xidan Zhang, Jianing Wei, Atsunori Moteki, Yoshie Kobayashi, Genta Suzuki, Zhiming Tan |
| 2024 | MSGAT: Multi-Stage Graph Attention Network For Human Motion Prediction. Ziyang Zheng, Ziliang Ren, Zhanhao Liang, Gulin Wang, Qieshi Zhang |
| 2024 | MSSPG-AL: Few-Shot Hyperspectral Image Classification with Active Learning Updated Multi-Scale Superpixel Graph Fusion. Long Yu, Jun Li, Li Zhuo |
| 2024 | MTA-PS: Towards Practical Person Search in Videos. Tiancheng Ying, Rong Quan, Peng Zheng, Yichao Yan, Jie Qin |
| 2024 | MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer. Taiga Yamane, Satoshi Suzuki, Ryo Masumura, Shotaro Tora |
| 2024 | MVCrackViT: Robust Multi-View Crack Detection For Point Cloud Segmentation Using View Attention. Christian Benz, Volker Rodehorst |
| 2024 | MWIRSTD: A MWIR Small Target Detection Dataset. Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh |
| 2024 | Mamba-PCGC: Mamba-Based Point Cloud Geometry Compression. Monyneath Yim, Jui-Chiu Chiang |
| 2024 | Mask-Based Invisible Backdoor Attacks on Object Detection. Jeongjin Shin |
| 2024 | Masked Momentum Contrastive Learning for Semantic Understanding by Observation. Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Syed Sameed Husain, Muhammad Awais |
| 2024 | Masked Signal Modeling for Plastic Waste Resin Classification. S. Ebrahimkhani, J. Zheng, A. C. Y. Ngo, Ngai-Man Cheung |
| 2024 | Mdbfusion: A Visible And Infrared Image Fusion Framework Capable For Motion Deblurring. Jun Chen, Wei Yu, Xin Tian, Jun Huang, Jiayi Ma |
| 2024 | Medea: Multi-View Efficient Depth Adjustment. Mikhail Artemyev, Anna Vorontsova, Anna Sokolova, Alexander Limonov |
| 2024 | Medical Knowledge-Guided Semi-Supervised Bi-Ventricular Segmentation. Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed |
| 2024 | Memsvd: Long-Range Temporal Structure Capturing Using Incremental SVD. Ioanna Ntinou, Enrique Sanchez, Georgios Tzimiropoulos |
| 2024 | Meta-DM: Applications of Diffusion Models on Few-Shot Learning. Wentao Hu, Jiarun Liu, Jiawei Wang, Hui Tian |
| 2024 | Metaheuristic Camera Calibration for Optical Tomographic Imaging in Industrial Environments. Andreas Unterberger, Cheau Tyan Foo, Zachary Adrian Emuang, Fabio J. W. A. Martins, Khadijeh Mohri |
| 2024 | Micro-Expression Recognition Based On 3DCNN Combined With GRU and New Attention Mechanism. Chun-Ting Fang, Tsung-Jung Liu, Kuan-Hsien Liu |
| 2024 | Minimization of Submesh Boundary Errors In Dynamic Mesh Coding. Koki Kishimoto, Kei Kawamura, Haruhisa Kato |
| 2024 | Mix-Domain Contrastive Learning For Unpaired H&E-to-IHC Stain Translation. Song Wang, Zhong Zhang, Huan Yan, Ming Xu, Guanghui Wang |
| 2024 | Motion-Adaptive Inference for Flexible Learned B-Frame Compression. Mustafa Akin Yilmaz, O. Ugur Ulas, Ahmet Bilican, A. Murat Tekalp |
| 2024 | Motion-Lie Transformer: Geometric Attention For 3D Human Pose Motion Prediction. Mayssa Zaier, Hazem Wannous, Hassen Drira, Jacques Boonaert |
| 2024 | Multi-Attribute Vision Transformers are Efficient and Robust Learners. Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar |
| 2024 | Multi-Modal Medical Image Fusion for Non-Small Cell Lung Cancer Classification. Salma Hassan, Hamad Al Hammadi, Ibrahim Mohammed, Muhammad Haris Khan |
| 2024 | Multi-Path Interference Mitigation For Indirect Time-of-Flight Camera By the Distortion of Coding Curve. Wenbin Luo, Takafumi Iwaguchi, Ryusuke Sagawa, Hiroshi Kawasaki |
| 2024 | Multi-Reference Flow-Guided Cross-Domain Reconstruction For General Object 6D Pose Estimation. Jaewoo Park, Jaeguk Kim, Nam Ik Cho |
| 2024 | Multi-Task Affinity Propagation Based Natural Image Matting. Renkai Zhang, Nong Sang |
| 2024 | Multi-View Multi-Focus Image Fusion: A Novel Benchmark Dataset and Method. Zhilong Li, Kejun Wu, Junhao Liu, Qiong Liu, You Yang |
| 2024 | Multi-View Network for Colorectal Polyps Detection in CT Colonography. Mohamed Yousuf, Samir Harb, Islam Alkabbany, Asem M. Ali, Salwa Elshazley, Aly A. Farag |
| 2024 | Multiclassification Of Vocal Folds Disorders From Videos By Spatio-Temporal Deep Features. Dhouha Attia, Amel Benazza-Benyahia |
| 2024 | Multimodal Transformer Using Cross-Channel Attention For Object Detection In Remote Sensing Images. Bissmella Bahaduri, Zuheng Ming, Fangchen Feng, Anissa Mokraoui |
| 2024 | Multimodal-Enhanced Objectness Learner For Corner Case Detection In Autonomous Driving. Lixing Xiao, Ruixiao Shi, Xiaoyang Tang, Yi Zhou |
| 2024 | NN-Based In-Loop Filtering With Inputs Transformed. Du Liu, Jacob Ström, Mitra Damghanian, Per Wennersten |
| 2024 | Navigating Limitations With Precision: A Fine-Grained Ensemble Approach To Wrist Pathology Recognition On A Limited X-Ray Dataset. Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, Zenun Kastrati, Sher Muhammad Daudpota |
| 2024 | Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding. Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli |
| 2024 | Neural Radiance Field-Assisted Static-Scene Video Coding. Runyu Yang, Dong Liu, Feng Wu, Wen Gao |
| 2024 | Non-Separablewavelet Transform Using Learnable Convolutional Lifting Steps. Joao O. Parracho, Eduardo A. B. da Silva, Lucas A. Thomaz, Luis M. N. Tavora, Sérgio M. M. Faria |
| 2024 | Norm-Integrated Softmax Loss For Deep Face Recognition. Jun Chen, Yiwei Wang, Haiyan Zhang |
| 2024 | Novel Meta Attention Guided Framework for Breast Abnormality Classification With Combination of FSL and DA. Anindita Mohanta, Sourav Dey Roy, Niharika Nath, Mrinal Kanti Bhowmik |
| 2024 | Nyctale: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction. Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi |
| 2024 | ODVISTA: An Omnidirectional Video Dataset for Super-Resolution and Quality Enhancement Tasks. Ahmed Telili, Ibrahim Farhat, Wassim Hamidouche, Hadi Amirpour |
| 2024 | ON Annotation-Free Optimization of Video Coding for Machines. Marc Windsheimer, Fabian Brand, André Kaup |
| 2024 | Object Detection Framework Using Multiple Tone Mappings on High-Dynamic-Range Images. Takumi Watanabe, Rei Kawakami, Masayuki Tanaka, Masatoshi Okutomi |
| 2024 | Object-Aware Adaptive Image Retargeting Via Importance Map Fusion. Ziyad Alswaidan, M. Hashem Shullar, Khalil Chikhaoui, Motaz Alfarraj |
| 2024 | Omra: Online Motion Resolution Adaptation To Remedy Domain Shift in Learned Hierarchical B-Frame Coding. Zong-Lin Gao, Sang NguyenQuang, Wen-Hsiao Peng, Xiem HoangVan |
| 2024 | On Efficient Neural Network Architectures for Image Compression. Yichi Zhang, Zhihao Duan, Fengqing Zhu |
| 2024 | On The Detection Of Images Generated From Text. Yuqing Yang, Charuka Moremada, Nikos Deligiannis |
| 2024 | On the Cloud Detection from Backscattered Images Generated from a Lidar-Based Ceilometer: Current State and Opportunities. Alessio Barbaro Chisari, Alessandro Ortis, Luca Guarnera, Wladimiro Carlo Patatu, Rosaria Ausilia Giandolfo, Emanuele Spampinato, Sebastiano Battiato, Mario Valerio Giuffrida |
| 2024 | On the Exploitation of DCT-Traces in the Generative-AI Domain. Orazio Pontorno, Luca Guarnera, Sebastiano Battiato |
| 2024 | One-Hot Logistic Regression for Radiomics-Based Classification. Baptiste Schall, Rodolphe Anty, Lionel Fillatre |
| 2024 | One-Shot Multi-Rate Pruning Of Graph Convolutional Networks For Skeleton-Based Recognition. Hichem Sahbi |
| 2024 | Online Anchor-Based Training For Image Classification Tasks. Maria Tzelepi, Vasileios Mezaris |
| 2024 | Open World Object Detection Via Cooperative Foundation Models for Driving Scenes. Sheng Luo, Yi Zhou |
| 2024 | Open-Vocabulary Panoptic Segmentation Using Bert Pre-Training of Vision-Language Multiway Transformer Model. Yi-Chia Chen, Wei-Hua Li, Chu-Song Chen |
| 2024 | OpenAnimalTracks: A Dataset for Animal Track Recognition. Risa Shinoda, Kaede Shiohara |
| 2024 | Optimized Decoupled Structure with Non-Local Attention for Deep Image Compression. Xuanye Zhang, Zhaobin Zhang, Yaojun Wu, Semih Esenlik, Xiaoyan Sun, Kai Zhang, Li Zhang |
| 2024 | Optimizing Learned Image Compression On Scalar and Entropy-Constraint Quantization. Florian Borzechowski, Michael Schäfer, Heiko Schwarz, Jonathan Pfaff, Detlev Marpe, Thomas Wiegand |
| 2024 | PCA-UNET for Object Segmentation. Cheng Long, Sayantika Nag, Adrian Barbu |
| 2024 | PUAD: Frustratingly Simple Method for Robust Anomaly Detection. Shota Sugawara, Ryuji Imamura |
| 2024 | PVDN-Urban - A Dataset for Provident Vehicle Detection at Night in Urban Scenarios. Lukas Ewecker, Florian Schiffel, Robin Schwager, Tim Brühl, Tin Stribor Sohn, Thomas Villmann |
| 2024 | PWISeg: Weakly-Supervised Surgical Instrument Instance Segmentation. Zhen Sun, Huan Xu, Jinlin Wu, Zhen Chen, Hongbin Liu, Zhen Lei |
| 2024 | Paon: A New Neuron Model Using Padé Approximants. Onur Keles, A. Murat Tekalp |
| 2024 | Parallel Task-Prompts ICM: A Versatile Feature Codec for Machine Vision. Tianma Shen, Ying Liu |
| 2024 | Partial Inter-Frame Coding for Dynamic Meshes. Xudong Jin, Jianfeng Xu, Kei Kawamura |
| 2024 | Perceptual Learned Image Compression via End-to-End JND-Based Optimization. Farhad Pakdaman, Sanaz Nami, Moncef Gabbouj |
| 2024 | Personatalk: Preserving Personalized Dynamic Speech Style In Talking Face Generation. Qianxi Lu, Yi He, Shilin Wang |
| 2024 | Physiological Modeling With Multispectral Imaging for Heart Rate Estimation. Kosuke Kurihara, Yoshihiro Maeda, Daisuke Sugimura, Takayuki Hamamoto |
| 2024 | Picture Partitioning Design of Neural Network-Based Intra Coding For Video Coding For Machines. Keiichi Chono, Naoya Niwa, Hiroe Iwasaki |
| 2024 | Pilot-Free Semantic Communication Over Multi-User Mimo Fading Channels. Weixuan Chen, Qianqian Yang, Zhaohui Yang, Yiping Duan, Zhaoyang Zhang |
| 2024 | Pixel-Wise Color Constancy Via Smoothness Techniques In Multi-Illuminant Scenes. Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj |
| 2024 | Point Cloud Geometry Scalable Coding with a Quality-Conditioned Latents Probability Estimator. Daniele Mari, André F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira |
| 2024 | Pose-Invariant Learning for Efficient Person Identification from Hyperspectral Hand Images. Keigo Kunikata, Amane Kashino, Yota Yamamoto, Yukinobu Taniguchi, Yoko Sogabe, Ayumi Matsumoto, Masaki Kitahara, Go Irie |
| 2024 | Power-Llava: Large Language and Vision Assistant for Power Transmission Line Inspection. Jiahao Wang, Mingxuan Li, Haichen Luo, Jinguo Zhu, Aijun Yang, Mingzhe Rong, Xiaohua Wang |
| 2024 | Priorformer: A UGC-VQA Method With Content and Distortion Priors. Yajing Pei, Shiyu Huang, Yiting Lu, Xin Li, Zhibo Chen |
| 2024 | Privacy-Preserving Visual Cues Communication for Hearing-Impaired People Using Deep Learning. Fatima Zaidi, Hira Hameed, Muhammad Farooq, Aisha Fatima, Kamran Arshad, Khaled Assaleh, Qammer H. Abbasi |
| 2024 | Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. Shiyu Qin, Yi-Min Zhou, Jin-Peng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2024 | Project, Skate, and Refresh: Improved Schrödinger Bridge Sampler for Image Restoration. Ziqiang Shi, Rujie Liu |
| 2024 | Prompt Performance Prediction For Image Generation. Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix |
| 2024 | Prune Channel And Distill: Discriminative Knowledge Distillation For Semantic Segmentation. Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, Hanseok Ko |
| 2024 | Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering. Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda |
| 2024 | Quadruple-Consistency Vision Transformer for Medical Image Segmentation with Limited Number of Sparse Annotations. Yufan Liu, Ziyang Wang, Tianxiang Chen, Zi Ye |
| 2024 | Quality of Experience of Viewport Adaptive Omnidirectional Video Streaming. Xuelin Liu, Haoyun Zhang, Jiebin Yan, Hao Zhang, Yuming Fang, Shiqi Wang |
| 2024 | Quantization After Inter Prediction in Displacement Coding of Dynamic Meshes. Hitoshi Nishimura, Haruhisa Kato, Kei Kawamura |
| 2024 | RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds. Remco Royen, Kostas Pataridis, Ward van der Tempel, Adrian Munteanu |
| 2024 | RFG-HDR: Representative Feature-Guided Transformer For Multi-Exposure High Dynamic Range Imaging. Keuntek Lee, Jaehyun Park, Gu Yong Park, Nam Ik Cho |
| 2024 | RFNET: Refined Fusion Three-Branch RGB-D Salient Object Detection Network. Kexuan Wang, Chenhua Liu, Huiguang Wei, Li Jing, Rongfu Zhang |
| 2024 | ROI-DVC: A Region-of-Interest Based Deep Video Coding Framework. Xiaojie Wu, Ping Wang, Xinhong Wang |
| 2024 | Rafmnet: Reinforced Attention Fusion and Multiscale Network For Noisy Infrared and Visible Image Fusion. Guohua Lv, Xiyan Wang, Yongbiao Gao, Yi Zhai, Guixin Zhao, Guangxiao Ma |
| 2024 | Rage for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. Christian D. Rask, Daniel E. Lucani |
| 2024 | Rate-Complexity Optimization in Lossless Neural-Based Image Compression. Lucas S. Lopes, Ricardo L. de Queiroz, Philip A. Chou |
| 2024 | Rate-Quality or Energy-Quality Pareto Fronts for Adaptive Video Streaming? Angeliki Katsenou, Xinyi Wang, Daniel Schien, David Bull |
| 2024 | Rdssd: 3D Single Stage Object Detector For Roadside Lidar Sensors. Conghao Lv, Ping Jiang, Meng Wang, Lixin Lin, Xuechen Chen, Xiaoheng Deng |
| 2024 | Reading is Believing: Revisiting Language Bottleneck Models for Image Classification. Honori Udo, Takafumi Koshinaka |
| 2024 | Real-Time Monocular Depth Estimation on Embedded Systems. Cheng Feng, Congxuan Zhang, Zhen Chen, Weiming Hu, Liyue Ge |
| 2024 | Real-Time Semantic Video Communication of General Scenes. Cem Eteke, Alexander Griessel, Wolfgang Kellerer, Eckehard G. Steinbach |
| 2024 | Real-Time Video Prediction With Fast Video Interpolation Model and Prediction Training. Shota Hirose, Kazuki Kotoyori, Kasidis Arunruangsirilert, Fangzheng Lin, Heming Sun, Jiro Katto |
| 2024 | Real-Time and Resource-Efficient Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization. Lyes Saad Saoud, Zhenwei Niu, Lakmal D. Seneviratne, Irfan Hussain |
| 2024 | Real-World Atmospheric Turbulence Correction Via Domain Adaptation. Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos |
| 2024 | Reconstruct Dynamic Scene for Spike Camera Based on 3D Space Time Similarity. Yuanlin Wang, Ruiqin Xiong, Jing Zhao, Tiejun Huang |
| 2024 | Recurrent 3-D Multi-Level Visual Transformer For Joint Classification of Heterogeneous 2-d AND 3-D Radiographic Data. Muhammad Owais, Muhammad Zubair, Taimur Hassan, Divya Velayudhan, Irfan Hussain, Naoufel Werghi |
| 2024 | Redefining Cystoscopy With AI: Bladder Cancer Diagnosis Using an Efficient Hybrid CNN-Transformer Model. Meryem Amaouche, Ouassim Karrakchou, Mounir Ghogho, Anouar El Ghazzaly, Mohamed Alami, Ahmed Ameur |
| 2024 | Redefining Visual Quality: The Impact of Loss Functions on INR-Based Image Compression. Lorenzo Catania, Dario Allegra |
| 2024 | Reducing Motion Artifacts in Brain MRI Using Vision Transformers and Self-Supervised Learning. Lei Zhang, Xiaoke Wang, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst |
| 2024 | Referring Image Segmentation with Two-Stage Multi-Modal Interaction. Zhenhua Wang, Linwei Ye |
| 2024 | Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification. Muhammad Uzair Zahid, Aysen Degerli, Fahad Sohrab, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj |
| 2024 | Reinforcement Learning-Based Secure Video Transmission For IOV Systems. Lixin Liu, Zhibo Liu, Xiaozhen Lu, Yanling Bu, Bin Han, Liang Xiao |
| 2024 | Reinforcing Pre-Trained Models Using Counterfactual Images. Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | Remote Sensing Image Uneven Haze Removal Based On Haze Density Estimation and Saliency-Driven Dual Channel Fusion. Yanmeng Liu, Libao Zhang |
| 2024 | Removing Reflective Flare in Real-World Conditions. Fengbo Lan, Chang Wen Chen |
| 2024 | Res-NeRV: Residual Blocks For A Practical Implicit Neural Video Decoder. Marwa Tarchouli, Thomas Guionnet, Marc Rivière, Wassim Hamidouche, Meriem Outtas, Olivier Déforges |
| 2024 | ResNeRF-PCAC: Super Resolving Residual Learning NeRF for High Efficiency Point Cloud Attributes Coding. Sajid Umair, Birendra Kathariya, Zhu Li, Anique Akhtar, Geert Van der Auwera |
| 2024 | Reset: A Residual Set-Transformer Approach to Tackle the Ugly-Duckling Sign in Melanoma Detection. Jules Collenne, Rabah Iguernaissi, Séverine Dubuisson, Djamal Merad |
| 2024 | Rethinking Domain Adaptation and Generalization in the ERA Of Clip. Ruoyu Feng, Tao Yu, Xin Jin, Xiaoyuan Yu, Lei Xiao, Zhibo Chen |
| 2024 | Rethinking Temporal Self-Similarity For Repetitive Action Counting. Yanan Luo, Jinhui Yi, Yazan Abu Farha, Moritz Wolter, Juergen Gall |
| 2024 | Robust 3D Semantic Segmentation With Incomplete Point Clouds Based on Sequential Frame Sampling. Masahiro Yamaguchi, Kyota Higa, Toshinori Hosoi, Takashi Shibata |
| 2024 | Robust Representation Learning With Self-Distillation For Domain Generalization. Ankur Singh, Senthilnath Jayavelu |
| 2024 | Robust Skin Color Driven Privacy-Preserving Face Recognition Via Function Secret Sharing. Dong Han, Yufan Jiang, Yong Li, Ricardo Mendes, Joachim Denzler |
| 2024 | Robustness of Tensor Decomposition-Based Neural Network Compression. Théo Rudkiewicz, Mohamed Ouerfelli, Riccardo Finotello, Zakariya Chaouai, Mohamed Tamaazousti |
| 2024 | Rotated R-CNN: A Two-Stage Object Detection Method Adapted To Oriented Bounding Boxes. Chengdao Pu, Jun Yu, Wen Su, Tianyu Liu |
| 2024 | Rsud20K: a Dataset for Road Scene Understanding in Autonomous Driving. Hasib Zunair, Shakib Khan, A. Ben Hamza |
| 2024 | S Yuxi Lu, Zhuming Zhang, Shiming Lin, Dengpan Zhang, Haibin Ma, Zengchang Qin |
| 2024 | SANERV: Scene-Adaptive Neural Representation for Videos. Hochang Rhee, Haesoo Chung, Junho Jo, Eunji Lee, Nam Ik Cho |
| 2024 | SE3D: A Framework for Saliency Method Evaluation in 3D Imaging. Mariusz Wisniewski, Loris Giulivi, Giacomo Boracchi |
| 2024 | SFD: Similar Frame Dataset for Content-Based Video Retrieval. Chaowei Han, Gaofeng Meng, Chunlei Huo |
| 2024 | SFNet - A Spatial-Frequency Domain Neural Network For Image Lens Flare Removal. Florin-Alexandru Vasluianu, Zongwei Wu, Radu Timofte |
| 2024 | SG-JND: Semantic-Guided Just Noticeable Distortion Predictor for Image Compression. Linhan Cao, Wei Sun, Xiongkuo Min, Jun Jia, Zicheng Zhang, Zijian Chen, Yucheng Zhu, Lizhou Liu, Qiubo Chen, Jing Chen, Guangtao Zhai |
| 2024 | SINO-CT-Fusion-Net: A Lightweight Deep Learning Framework for Detection and Classification of Intracranial Hemorrhages. Chitimireddy Sindhura, Phaneendra K. Yalavarthy, Subrahmanyam Gorthi |
| 2024 | SKETCH2MANGA: Shaded Manga Screening from Sketch with Diffusion Models. Jian Lin, Xueting Liu, Chengze li, Minshan Xie, Tien-Tsin Wong |
| 2024 | SLNL: Soft Label Regularization For Semi-Supervised Facial Expression Recognition With Negative Label Learning. Youwei Zhang, Jing Jiang, Yuying Zhao, Kongming Liang |
| 2024 | SMO-CLIP: Enhancing Anomalous Smoke Density Assessment Using A Hybrid LLM-VLM Approach. Pengfei Li, Muaz Al Radi, Mahmoud Said Elmezain, Abdelfatah Hassan Ahmed, Abderrahmene Boudiaf, Said Boumaraf, Jorge Dias, Hamad Karki, Sajid Javed, Khalid Yousef Al Awadhi, Naoufel Werghi |
| 2024 | SN-NET: Semismooth Newton Driven Lightweight Network for Real-World Image Denoising. Chenxiao Zhang, Xin Deng, Hongpeng Sun, Jingyi Xu, Mai Xu |
| 2024 | SODA: A Dataset for Small Object Detection in UAV Captured Imagery. Daniel Pisani, Dylan Seychell, Carl James Debono, Michael Schembri |
| 2024 | SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model. Syed Muhammad Anwar, Abhijeet Parida, Sara Atito, Muhammad Awais, Gustavo Nino, Josef Kittler, Marius George Linguraru |
| 2024 | Saliency As A Schedule: Intuitive Image Attribution. Aniket Singh, Anoop M. Namboodiri |
| 2024 | Saliency-Aware End-to-End Learned Variable-Bitrate 360-Degree Image Compression. Oguzhan Güngördü, A. Murat Tekalp |
| 2024 | Salient Guided Text Detection in E-Commerce Images. Boon Yin Yin, Nurul Japar |
| 2024 | Sample Domain Prediction and Transform Skip for Region Adaptive Hierarchical Transform in Geometric Point Cloud Compression. Bharath Vishwanath, Wenyi Wang, Yingzhan Xu, Kai Zhang, Li Zhang |
| 2024 | Scalable Hypersphere Embedding For Semantic Metric Learning. Lovre Antonio Budimir, Marko Subasic, Zoran Kalafatic, Sven Loncaric |
| 2024 | Scene Generalized Multi-View Pedestrian Detection with Rotation-Based Augmentation and Regularization. Satoshi Suzuki, Shotaro Tora, Ryo Masumura |
| 2024 | Scene Text Recognition Using Progressive Rectification Network And Spelling Error Correction Language Model. Ming-Zheng Peng, Hao-Chung Cheng, Phuong-Thi Le, Cheng-Chun Wang, Chien-Yao Wang, Jia-Ching Wang |
| 2024 | SegGuard: Defending Scene Segmentation Against Adversarial Patch Attack. Thomas Gittings, Steve Schneider, John P. Collomosse |
| 2024 | Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning Strategy For Multi-Class Multi-Instance Segmentation. Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, Jumana Abu-Khalaf, David Suter |
| 2024 | Segmentation of Hard Exudates And Hemorrhages from Diabetic Retinopathy Images Using Residual U-Net with Squeeze and Excite Blocks. Avinash Gaikwad, Anjali Gautam |
| 2024 | Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images. Bipin Gaikwad, Abani Patra, Carl R. Crawford, Eric L. Miller |
| 2024 | Self-Supervised Multi-View Stereo with Adaptive Depth Priors. Lintao Xiang, Hujun Yin |
| 2024 | Semantic Enhanced Few-Shot Object Detection. Zheng Wang, Yingjie Gao, Qingjie Liu, Yunhong Wang |
| 2024 | Semantic-Enhanced Point-Box Joint Prompting for Video Object Segmentation. Quan Zhao, Siying Wu, Yueyi Zhang, Xiaoyan Sun |
| 2024 | Semantic-Region Specific Lookup Tables for Image Enhancement Via Unpaired Learning. Zheng-Hui Huang, Tse-Yan Lee, Li-Jen Chang, Yong-Wei Chen, Ping-Jui Chiang, Jo-Fan Wu, Yung-Yu Chuang |
| 2024 | Semi-Supervised 3D Object Detection With Channel Augmentation Using Transformation Equivariance. Minju Kang, Taehun Kong, Tae-Kyun Kim |
| 2024 | Semi-Supervised Action Recognition From Newborn Resuscitation Videos. Syed Tahir Hussain Rizvi, Øyvind Meinich-Bache, Vilde Kolstad, Siren Rettedal, Sara Brunner, Kjersti Engan |
| 2024 | Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples. Anurag Goel, Angshul Majumdar |
| 2024 | Set-Nas: Sample-Efficient Training For Neural Architecture Search With Strong Predictor And Stratified Sampling. Yu-Ming Zhang, Jun-Wei Hsieh, Yu-Hsiu Chang, Xin Li, Ming-Ching Chang, Chun-Chieh Lee, Kuo-Chin Fan |
| 2024 | Shadow-Aware Makeup Transfer with Lighting Adaptation. Hao-Yun Chang, Wen-Jiin Tsai |
| 2024 | Similarity-Weighted IoU (sIOU): A Comprehensive Metric for Evaluating Model Performance Through Similarity-Weighted Class Overlaps. Umamaheswaran Raman Kumar, Patrick Vandewalle |
| 2024 | Simple Image Signal Processing using Global Context Guidance. Omar Elezabi, Marcos V. Conde, Radu Timofte |
| 2024 | Simsam: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation. Chanda Grover Kamra, Indra Deep Mastan, Nitin Kumar, Debayan Gupta |
| 2024 | Single-Panorama Classification of 3D Objects Using Horizontally Stacked Dilated Convolutions. Rômulo Marconato Stringhini, Thiago S. Lermen, Thiago L. T. da Silveira, Cláudio R. Jung |
| 2024 | Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog. Qiangqiang He, Jie Zhang, Shuwei Qian, Chongjun Wang |
| 2024 | Source-Free Continual Adaptive Learning With Limited Labels on Evolving Data Drifts. Amrutha Machireddy, Ranganath Krishnan, Athmanarayanan Lakshmi Narayanan, Omesh Tickoo |
| 2024 | SovaSeg-Net: Scale Invariant Ovarian Tumors Segmentation from Ultrasound Images. Huu-Phong Luong, Hoang-Son Bui, Nam-Khanh Nguyen, Thi-Loan Pham, Gia-Minh Pham, Sy-Hoang Tran, Thanh-Hai Tran, Thi-Lan Le |
| 2024 | Sparse Transformer Refinement Similarity Map for Aerial Tracking. Xi Tao, Ke Qi, Peijia Chen, Wenhao Xu, Yutao Qi |
| 2024 | Spatial Plaid Attention Decoder for Semantic Segmentation. Abolfazl Meyarian, Xiaohui Yuan, Zhinan Qiao |
| 2024 | Spatial-Channel Collaborated Attention for Cross-Scale Crowd Counting. Yongpeng Chang, Guangchun Gao |
| 2024 | Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection. Takumi Karasawa, Nakamasa Inoue, Rei Kawakami |
| 2024 | Spatio-Temporal Adaptation With Dilated Neighbourhood Attention For Accident Anticipation. Patrik Patera, Yie-Tarng Chen, Wen-Hsien Fang |
| 2024 | Standard Compliant Video Coding Using Low Complexity, Switchable Neural Wrappers. Yueyu Hu, Chenhao Zhang, Onur G. Guleryuz, Debargha Mukherjee, Yao Wang |
| 2024 | Start-Tv: A Closed-Form Initialization For Total Variation Models. Yuanhao Gong, Guanghui Yue |
| 2024 | Statistics-Aware Audio-Visual Deepfake Detector. Marcella Astrid, Enjie Ghorbel, Djamila Aouada |
| 2024 | Stay Focus on Object: Cross-Domain Detection Using Domain-Invariant Object Representation. Taehoon Kim, Jaemin Na, Joong-Won Hwang, Wonjun Hwang |
| 2024 | Streaming Neural Images. Marcos V. Conde, Andy Bigos, Radu Timofte |
| 2024 | Streamlined Hybrid Annotation Framework Using Scalable Codestream for Bandwidth-Restricted UAV Object Detection. Karim El Khoury, Tiffanie Godelaine, Simon Delvaux, Sébastien Lugan, Benoît Macq |
| 2024 | Structured Pruning and Quantization for Learned Image Compression. Md Adnan Faisal Hossain, Fengqing Zhu |
| 2024 | Subblock-Based Combined Inter and Intra Prediction Beyond VVC. Lei Zhao, Kai Zhang, Li Zhang |
| 2024 | Subgroups For Detection Transformer. Tharsan Senthivel, Ngoc-Son Vu |
| 2024 | Subjective Portrait Region Cropping On Landscape Video Study. Cheng-Han Lee, Maniratnam Mandal, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik |
| 2024 | Subjective Quality Assessment of Thermal Infrared Images. Guanghui Yue, Lixin Zhang, Jinxia Zhang, Zhaofei Xu, Shuigen Wang, Tianwei Zhou, Yuanhao Gong, Wei Zhou |
| 2024 | Super-Resolution for Near-Eye Light Field Display in Fourier Space. Yu-Hsiang Huang, Wei Wang, Homer H. Chen |
| 2024 | Super: Selfie Undistortion and Head Pose Editing with Identity Preservation. Polina Karpikova, Andrei Spiridonov, Anna Vorontsova, Anastasia Yaschenko, Ekaterina Radionova, Igor Medvedev, Alexander Limonov |
| 2024 | Superpixel Mixing: A Data Augmentation Technique For Robust Deep Visual Recognition Models. Danyang Sun, Fadi Dornaika, Vinh Truong Hoang, Nagore Barrena |
| 2024 | Surface Anomaly Detection With Anomalous Feature Restriction And Difference-Aware Enhancement. Jinhui Zhao, Hongxia Gao, Tongtong Liu |
| 2024 | Synthmanticlidar: A Synthetic Dataset For Semantic Segmentation On Lidar Imaging. Javier Montalvo, Pablo Carballeira, Álvaro García-Martín |
| 2024 | TCA-NET: Triplet Concatenated-Attentional Network for Multimodal Engagement Estimation. Hongyuan He, Daming Wang, Md. Rakibul Hasan, Tom Gedeon, Md. Zakir Hossain |
| 2024 | TDAD: Trident Distillations for Anomaly Detection. Wenrui Hu, Yuan Xie, Wei Yu |
| 2024 | TSF-NET3D: TSF-NET for 3D Point Cloud Attribute Compression Artifacts Removal. Birendra Kathariya, Zhu Li, Geert Van der Auwera |
| 2024 | Talking-Head Video Compression With Motion Semantic Enhancement Model. Haobo Lei, Zhisong Bie, Zhao Jing, Hongxia Bie |
| 2024 | Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss. Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib |
| 2024 | Temporal Clustering and Temporal Reference Based Specular Detection For 1-MS Visual Feedback System. Tingting Hu, Ryuji Fuchikami, Shigekiyo Nosaka |
| 2024 | Temporal Regularization for Robust Motion Compensation in Reduced Dose Cardiac-Gated Spect Images. Xirang Zhang, Yongyi Yang, Jovan G. Brankov, P. Hendrik Pretorius, Michael A. King |
| 2024 | Temporal Scalable Coding For Dynamic Meshes. Jianfeng Xu, Haruhisa Kato, Kei Kawamura |
| 2024 | Temporal Transformer Encoder for Video Class Incremental Learning. Nattapong Kurpukdee, Adrian G. Bors |
| 2024 | Temporal-Spatial SPDAGG Network For Skeleton-Based Human Action Recognition From Aerial Perspectives. Mohamed Sanim Akremi, Najett Neji, Hedi Tabia |
| 2024 | Thermal Videodiff (TVD): A Diffusion Architecture For Thermal Video Synthesis. Tayeba Qazi, Brejesh Lall |
| 2024 | Thqa: A Perceptual Quality Assessment Database for Talking Heads. Yingjie Zhou, Zicheng Zhang, Wei Sun, Xiaohong Liu, Xiongkuo Min, Zhihua Wang, Xiao-Ping Zhang, Guangtao Zhai |
| 2024 | Through-Wall Imaging Based On WiFi Channel State Information. Julian Strohmayer, Rafael Sterzinger, Christian Stippel, Martin Kampel |
| 2024 | Toward Efficient Deep Blind Raw Image Restoration. Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte |
| 2024 | Toward Low Artifact Virtual Try-On Via Pre-Warping Partitioned Clothing Alignment. Wei-Chian Liang, Chieh-Yun Chen, Hong-Han Shuai |
| 2024 | Towards Better Control Of Latent Spaces For Face Editing. Savas Özkan, Mete Özay |
| 2024 | Towards Generalizable Referring Image Segmentation Via Target Prompt And Visual Coherence. Yajie Liu, Pu Ge, Haoxiang Ma, Shichao Fan, Qingjie Liu, Di Huang, Yunhong Wang |
| 2024 | Towards Privacy-Enhancing Provenance Annotations for Images. Nikolaos Fotos, Jaime Delgado |
| 2024 | Towards Robust Person Re-Identification Via Efficient and Generalized Adversarial Training. Huiwang Liu, Yan Huang, Linlin Zeng, Ya Li |
| 2024 | Towards Robust Visual Localization Using Multi-View Images and HD Vector Map. Lili Zhao, Zhili Liu, Qian Yin, Lei Yang, Meng Guo |
| 2024 | Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset. Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen |
| 2024 | Towards the Detection of AI-Synthesized Human Face Images. Yuhang Lu, Touradj Ebrahimi |
| 2024 | Transformer-Based Clipped Contrastive Quantization Learning For Unsupervised Image Retrieval. Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu |
| 2024 | Trustworthy Sr: Resolving Ambiguity In Image Super-Resolution Via Diffusion Models And Human Feedback. Cansu Korkmaz, Ege Çirakman, A. Murat Tekalp, Zafer Dogan |
| 2024 | Two Heads Better Than One: Dual Degradation Representation for Blind Super-Resolution. Hsuan Yuan, Shao-Yu Weng, I-Hsuan Lo, Wei-Chen Chiu, Yu-Syuan Xu, Hao-Chien Hsueh, Jen-Hui Chuang, Ching-Chun Huang |
| 2024 | Two-Level Intra Prediction Using High-Order Macropixel Neighbors For Plenoptic Video Coding. Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon |
| 2024 | Two-Stage Tripletnet: Light Weight Remote Sensing Scene Classification. Xianbin Hu, Wei Wu, Zhu Li, Xueliang Luo, Zhengfeng Chen |
| 2024 | U-Convnext Network for Infrared Small Target Detection. Jian Ma, Xiuhong Li, Yuye Zhang, Boyuan Li, Dangxuan Wu, Zhenhong Jia |
| 2024 | U-Tell: Unsupervised Task Expert Lifelong Learning. Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu |
| 2024 | UTrCGAN: Uncertainty-Driven Cycle-Consistent Generative Adversarial Network for Low-Light Image Enhancement. Jingshuo Guan, Na Qi, Qing Zhu, Liang Chen |
| 2024 | Uimt: A Framework for Improving Unimodal Inference via Multimodal Training. Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj |
| 2024 | Uncalibrated and Unsupervised Photometric Stereo with Piecewise Regularizer. Alejandro Casanova, Antonio Agudo |
| 2024 | Uncertainty-Aware AB3DMOT by Variational 3D Object Detection. Illia Oleksiienko, Alexandros Iosifidis |
| 2024 | Uncovering Communities Of Pipelines in the Task-FMRI Analytical Space. Elodie Germani, Elisa Fromont, Camille Maumet |
| 2024 | Underwater Change Detection Using Multiple Sampling-Based Probabilistic Learner and Feature Preservance Discriminator. Mehvish Nissar, Badri Narayan Subudhi, Vinit Jakhetiya, Amit Kumar Mishra |
| 2024 | Unicrowd Simulator: Visual and Behavioral Fidelity For The Generation of Crowd Datasets. Niccolò Bisagno, Antonio Luigi Stefani, Nicola Garau, Francesco G. B. De Natale, Nicola Conci |
| 2024 | Universal Black-Box Adversarial Patch Attack with Optimized Genetic Algorithm. Qun Zhao, Yuan-Gen Wang |
| 2024 | Unleashing Fine-Coarse Curve Perception Via Trunk-Branch Perturbation. Yunxiang Cao, Li Chen, Yubo Wang, Zhida Feng, Xiaoming Liu |
| 2024 | Unleashing the Power of Generalized Iterative Closest Point for Swift and Effective Point Cloud Registration. Efthymios Koukoulis, Gerasimos Arvanitis, Konstantinos Moustakas |
| 2024 | Unrolled Projected Gradient Algorithm For Stain Separation In Digital Histopathological Images. Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, Jean-Christophe Pesquet |
| 2024 | Unsupervised Coordinate-Based Video Denoising. Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Feng Luo, Nianyi Li |
| 2024 | Unsupervised Domain Adaptive Semantic Segmentation Based on Clip-Guided Prototypical Contrastive Learning. Kebin Liu, Chuang Zhu |
| 2024 | VAG: Voxel Attenuation Grid For Sparse-View CBCT Reconstruction. Jinhao Qiao, Jiang Liu, Heng Yu, Yi Xiao, Hongshan Yu, Yan Zheng, Sihan Li |
| 2024 | VCDSet: A New Vehicle Collision Dataset In Asia Countries For Anticipating Accidents. Chih-Chung Hsu, Yun-Zhong Jiang, Wei-Hao Huang |
| 2024 | VF-Net: Robustness Via Understanding Distortions and Transformations. Fatemeh Amerehi, Patrick Healy |
| 2024 | VR-Based Generation of Photorealistic Synthetic Data for Training Hand-Object Tracking Models. Chengyan Zhang, Rahul Chaudhari |
| 2024 | Video Class-Incremental Learning With Clip Based Transformer. Shuyun Lu, Jian Jiao, Lanxiao Wang, Heqian Qiu, Xingtao Lin, Hefei Mei, Hongliang Li |
| 2024 | Vito: Vision Transformer Optimization Via Knowledge Distillation On Decoders. Giovanni Bellitto, Renato Sortino, Paolo Spadaro, Simone Palazzo, Federica Proietto Salanitri, Giuseppe Fiameni, Efstratios Gavves, Concetto Spampinato |
| 2024 | Vizecgnet: Visual ECG Image Network for Cardiovascular Diseases Classification With Multi-Modal Training and Knowledge Distillation. Ju-Hyeon Nam, Seo-Hyung Park, Su Jung Kim, Sang-Chul Lee |
| 2024 | Wavelet-Enhanced CNN for Depression Classification Based on MRI Images. Yawei Zhang, Bo Li, Xin Li, Yuhan Huang, Hui Ding |
| 2024 | Weather-Aware Drone-View Object Detection Via Environmental Context Understanding. Hyunjun Kim, Dahye Lee, Sungjune Park, Yong Man Ro |
| 2024 | When Self-Supervised Pre-Training Meets Single Image Denoising. Hamadi Chihaoui, Paolo Favaro |
| 2024 | WrappingNet: Mesh Autoencoder Via Deep Sphere Deformation. Eric Lei, Muhammad Asad Lodhi, Jiahao Pang, Junghyun Ahn, Dong Tian |
| 2024 | YOLO-Feder Fusionnet: A Novel Deep Learning Architecture for Drone Detection. Tamara R. Lenhard, Andreas Weinmann, Stefan Jäger, Tobias Koch |
| 2024 | Youtube SFV+HDR Quality Dataset. Yilin Wang, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli |
| 2024 | Zero-Shot Composed Image Retrieval Considering Query-Target Relationship Leveraging Masked Image-Text Pairs. Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |