Junjun Jiang

426 papers A* 56A 17B 10C 10Misc 12Journal 281Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
3D-SLARM: Practical Lossless Volumetric Image Compression via a 3D-Scanning Lightweight Autoregressive Model.
IEEE Trans. Image Process.
Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu
2026 J jnl
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell.
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu, Liqiang Nie
2026 J jnl
DSwinIR: Rethinking Window-Based Attention for Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell.
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu, Liqiang Nie
2026 J jnl
FM2S: Towards Spatially-correlated Noise Modeling in Zero-shot Fluorescence Microscopy Image Denoising.
Mach. Intell. Res.
Jizhihui Liu, Qixun Teng, Qing Ma, Junhui Hou, Junjun Jiang
2026 J jnl
Federated domain generalization via data-centric flatness optimization.
Pattern Recognit.
Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji
2026 J jnl
Focus-Scan-Refine: From Human Visual Perception to Efficient Visual Token Pruning.
CoRR
Enwei Tong, Yuanchao Bai, Yao Zhu, Junjun Jiang, Xianming Liu
2026 J jnl
GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models.
CoRR
Jiaxin Zhang, Junjun Jiang, Haijie Li, Youyu Chen, Kui Jiang, Dave Zhenyu Chen
2026 J jnl
Kronecker reparameterized large kernel for image compressed sensing.
Neurocomputing
Jiao Xie, Lingfu Jiang, Heming Jia, Shaohui Lin, Yinqi Zhang, Linlin Yang, Fang Fang, Junjun Jiang
2026 J jnl
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration.
Int. J. Comput. Vis.
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu, Wangmeng Zuo
2026 J jnl
No-reference dehazed image quality assessment via perception-driven interactive feature representation learning.
Pattern Recognit.
Hangyu Nie, Ziqiang Huang, Miao Qi, Junjun Jiang, Jiayi Ma, Wei Liu
2026 J jnl
PH-Mamba: Enhancing Mamba With Position Encoding and Harmonized Attention for Image Deraining and Beyond.
IEEE Trans. Image Process.
Kui Jiang, Junjun Jiang, Xianming Liu, Hongxun Yao, Chia-Wen Lin
2026 J jnl
RES: Reconstruction-based sampling for point cloud learning.
Displays
Guoqing Zhang, Wenbo Zhao, Junjun Jiang, Xianming Liu
2026 J jnl
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance.
IEEE Trans. Circuits Syst. Video Technol.
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
2026 J jnl
SPGFusion: Semantic Prior Guided Infrared and visible image fusion via pretrained vision models.
Inf. Fusion
Huiqin Zhang, Shihan Yao, Jiayi Ma, Junjun Jiang, Yanduo Zhang, Huabing Zhou
2026 A* conf
Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining.
AAAI
Zhaocheng Yu, Kui Jiang, Junjun Jiang, Xianming Liu, Guanglu Sun, Yi Xiao
2026 J jnl
Towards Unified Semantic and Controllable Image Fusion: A Diffusion Transformer Approach.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiayang Li, Chengjie Jiang, Junjun Jiang, Pengwei Liang, Jiayi Ma, Liqiang Nie
2026 J jnl
UDPNet: Unleashing Depth-based Priors for Robust Image Dehazing.
CoRR
Zengyuan Zuo, Junjun Jiang, Gang Wu, Xianming Liu
2026 A* conf
Variation-Bounded Loss for Noise-Tolerant Learning.
AAAI
Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li
2025 J jnl
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends.
IEEE Trans. Pattern Anal. Mach. Intell.
Junjun Jiang, Zengyuan Zuo, Gang Wu, Kui Jiang, Xianming Liu
2025 J jnl
AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification.
CoRR
Jiuyang Dong, Jiahan Li, Junjun Jiang, Kui Jiang, Yongbing Zhang
2025 A* conf
Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather.
IJCAI
Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou
2025 J jnl
Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather.
CoRR
Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou
2025 J jnl
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion.
CoRR
Xingyu Hu, Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma
2025 J jnl
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration.
CoRR
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu, Liqiang Nie
2025 J jnl
Boosting All-in-One Image Restoration via Self-Improved Privilege Learning.
CoRR
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2025 A* conf
CALLIC: Content Adaptive Learning for Lossless Image Compression.
AAAI
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao
2025 A* conf
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting.
CVPR
Jiaxin Zhang, Junjun Jiang, Youyu Chen, Kui Jiang, Xianming Liu
2025 J jnl
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting.
CoRR
Jiaxin Zhang, Junjun Jiang, Youyu Chen, Kui Jiang, Xianming Liu
2025 J jnl
Content-Aware Transformer for All-in-one Image Restoration.
CoRR
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2025 J jnl
ControlFusion: A Controllable Image Fusion Framework with Language-Vision Degradation Prompts.
CoRR
Linfeng Tang, Yeda Wang, Zhanchuan Cai, Junjun Jiang, Jiayi Ma
2025 J jnl
DAWN+: Wavelet-Based Image Deraining Meets Direction-Aware Attention and Mutual Representation.
IEEE Trans. Neural Networks Learn. Syst.
Kui Jiang, Junjun Jiang, Zheng Wang, Zihan Geng, Xianming Liu
2025 A* conf
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds.
CVPR
Youyu Chen, Junjun Jiang, Kui Jiang, Xiao Tang, Zhihao Li, Xianming Liu, Yinyu Nie
2025 J jnl
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds.
CoRR
Youyu Chen, Junjun Jiang, Kui Jiang, Xiao Tang, Zhihao Li, Xianming Liu, Yinyu Nie
2025 A* conf
Debiased All-in-one Image Restoration with Task Uncertainty Regularization.
AAAI
Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu
2025 J jnl
Diff-Holo: A Residual Diffusion Model With Complex Transformer for Rapid Single-Frame Hologram Reconstruction.
IEEE Trans. Computational Imaging
Ziqi Bai, Xianming Liu, Cheng Guo, Kui Jiang, Junjun Jiang, Xiangyang Ji
2025 J jnl
Disentangled Pseudo-Bag Augmentation for Whole Slide Image Multiple Instance Learning.
IEEE Trans. Medical Imaging
Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Linghan Cai, Yongbing Zhang
2025 J jnl
Diversity Learning Guided Dual Graph Autoencoder for Unsupervised Hyperspectral Band Selection.
IEEE Trans. Circuits Syst. Video Technol.
Wei Feng, Chang Tang, Cheng Zeng, Xinwang Liu, Junjun Jiang, Xianju Li, Xinzhong Zhu
2025 J jnl
Dual-Level Cross-Modality Neural Architecture Search for Guided Image Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Shiqi Wang
2025 J jnl
Dynamics of Masked Image Modeling in Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Chen Ma, Huayi Li, Junjun Jiang, César Aybar, Jiaqi Yao, Gustau Camps-Valls
2025 J jnl
Enhancing consistency and mitigating bias: A data replay approach for incremental learning.
Neural Networks
Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji
2025 J jnl
FAST: Flexibly Controllable Arbitrary Style Transfer via Latent Diffusion Models.
ACM Trans. Multim. Comput. Commun. Appl.
Hanzhang Wang, Haoran Wang, Zhongrui Yu, Mingming Sun, Junjun Jiang, Xianming Liu, Deming Zhai
2025 A conf
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion.
IROS
Pihai Sun, Junjun Jiang, Yuanqi Yao, Youyu Chen, Wenbo Zhao, Kui Jiang, Xianming Liu
2025 J jnl
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion.
CoRR
Pihai Sun, Junjun Jiang, Yuanqi Yao, Youyu Chen, Wenbo Zhao, Kui Jiang, Xianming Liu
2025 A* conf
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning.
CVPR
Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang
2025 J jnl
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning.
CoRR
Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang
2025 J jnl
FusionINV: A Diffusion-Based Approach for Multimodal Image Fusion.
IEEE Trans. Image Process.
Pengwei Liang, Junjun Jiang, Qing Ma, Chenyang Wang, Xianming Liu, Jiayi Ma
2025 J jnl
Image Deblurring by Exploring In-Depth Properties of Transformer.
IEEE Trans. Neural Networks Learn. Syst.
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
2025 J jnl
Joint Asymmetric Loss for Learning with Noisy Labels.
CoRR
Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2025 J jnl
Learning Dynamic Prompts for All-in-One Image Restoration.
IEEE Trans. Image Process.
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu, Liqiang Nie
2025 J jnl
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image.
IEEE Trans. Image Process.
Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu
2025 J jnl
M2DAO-Talker: Harmonizing Multi-granular Motion Decoupling and Alternating Optimization for Talking-head Generation.
CoRR
Kui Jiang, Shiyu Liu, Junjun Jiang, Xin Yang, Hongxun Yao, Xiaopeng Fan
2025 J jnl
MaeFuse: Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training.
IEEE Trans. Image Process.
Jiayang Li, Junjun Jiang, Pengwei Liang, Jiayi Ma, Liqiang Nie
2025 — conf
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CVPR Workshops
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025 J jnl
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces.
CoRR
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang
2025 — conf
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results.
CVPR Workshops
Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He
2025 J jnl
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results.
CoRR
Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He
2025 J jnl
Pixel2Pixel: A Pixelwise Approach for Zero-Shot Single Image Denoising.
IEEE Trans. Pattern Anal. Mach. Intell.
Qing Ma, Junjun Jiang, Xiong Zhou, Pengwei Liang, Xianming Liu, Jiayi Ma
2025 J jnl
RD-UIE: Relation-Driven State Space Modeling for Underwater Image Enhancement.
CoRR
Kui Jiang, Yan Luo, Junjun Jiang, Xin Xu, Fei Ma, Fei Yu
2025 J jnl
Rep-Mamba: Re-Parameterization in Vision Mamba for Lightweight Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens.
Kui Jiang, Mengru Yang, Yi Xiao, Jianbo Wu, Guangcheng Wang, Xiaocheng Feng, Junjun Jiang
2025 J jnl
Rethinking Autoregressive Models for Lossless Image Compression via Hierarchical Parallelism and Progressive Adaptation.
CoRR
Daxin Li, Yuanchao Bai, Kai Wang, Wenbo Zhao, Junjun Jiang, Xianming Liu
2025 J jnl
Self-Supervised Multi-Camera Collaborative Depth Prediction With Latent Diffusion Models.
IEEE Trans. Intell. Transp. Syst.
Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Xiangyang Ji
2025 J jnl
Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining.
CoRR
Zhaocheng Yu, Kui Jiang, Junjun Jiang, Xianming Liu, Guanglu Sun, Yi Xiao
2025 A* conf
Spatial Annealing for Efficient Few-shot Neural Rendering.
AAAI
Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu
2025 — conf
TRICKY 2025 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.
ICCVW
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Benjamin Busam, Guangyao Zhai, Weihang Li, Junwen Huang, HyunJun Jung, Mykola Lavreniuk, Pihai Sun, Yijun Luo, Hongtao Wang, Manying Gao, Kui Jiang, Junjun Jiang
2025 — conf
The Fourth Monocular Depth Estimation Challenge.
CVPR Workshops
Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad
2025 J jnl
The Fourth Monocular Depth Estimation Challenge.
CoRR
Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad
2025 J jnl
Towards Unified Semantic and Controllable Image Fusion: A Diffusion Transformer Approach.
CoRR
Jiayang Li, Chengjie Jiang, Junjun Jiang, Pengwei Liang, Jiayi Ma, Liqiang Nie
2025 A* conf
Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios.
ICRA
Jialei Xu, Rui Li, Kai Cheng, Junjun Jiang, Xianming Liu
2025 J jnl
VDEGaussian: Video Diffusion Enhanced 4D Gaussian Splatting for Dynamic Urban Scenes Modeling.
CoRR
Yuru Xiao, Zihan Lin, Chao Lu, Deming Zhai, Kui Jiang, Wenbo Zhao, Wei Zhang, Junjun Jiang, Huanran Wang, Xianming Liu
2025 J jnl
Variation-Bounded Loss for Noise-Tolerant Learning.
CoRR
Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li
2025 J jnl
ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise.
CoRR
Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu
2024 A* conf
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise.
NeurIPS
Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu
2024 J jnl
A Comprehensive Survey on 3D Content Generation.
CoRR
Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu
2024 J jnl
A Practical Contrastive Learning Framework for Single-Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst.
Gang Wu, Junjun Jiang, Xianming Liu
2024 J jnl
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends.
CoRR
Junjun Jiang, Zengyuan Zuo, Gang Wu, Kui Jiang, Xianming Liu
2024 A* conf
AFBench: A Large-scale Benchmark for Airfoil Design.
NeurIPS
Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang
2024 J jnl
AFBench: A Large-scale Benchmark for Airfoil Design.
CoRR
Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang
2024 J jnl
Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions.
CoRR
Zihan Qin, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu
2024 J jnl
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation.
IEEE Trans. Image Process.
Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang
2024 J jnl
CALLIC: Content Adaptive Learning for Lossless Image Compression.
CoRR
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao
2024 — conf
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results.
ECCV Workshops (10)
Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua
2024 B conf
Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression.
ICIP
Yutong Zhang, Wenbo Zhao, Daxin Li, Junjun Jiang, Xianming Liu
2024 J jnl
DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge.
CoRR
Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Chunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu
2024 J jnl
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring.
IEEE Trans. Computational Imaging
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
2024 J jnl
Deep Attentional Guided Image Filtering.
IEEE Trans. Neural Networks Learn. Syst.
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji
2024 A* conf
Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data.
ACM Multimedia
Yuchen Pan, Junjun Jiang, Kui Jiang, Xianming Liu
2024 J jnl
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning.
CoRR
Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji
2024 C conf
Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning.
VCIP
Qingbin Wei, Feilong Zhang, Yuanchao Bai, Deming Zhai, Junjun Jiang, Xianming Liu
2024 J jnl
Exploiting Self-Supervised Constraints in Image Super-Resolution.
CoRR
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2024 A conf
Exploiting Self-Supervised Constraints in image Super-Resolution.
ICME
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2024 J jnl
Exploring the Spectral Prior for Hyperspectral Image Super-Resolution.
IEEE Trans. Image Process.
Qian Hu, Xinya Wang, Junjun Jiang, Xiao-Ping Zhang, Jiayi Ma
2024 J jnl
FM2S: Self-Supervised Fluorescence Microscopy Denoising With Single Noisy Image.
CoRR
Jizhihui Liu, Qixun Teng, Junjun Jiang
2024 A* conf
FMRNet: Image Deraining via Frequency Mutual Revision.
AAAI
Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma
2024 J jnl
Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution.
Mach. Intell. Res.
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2024 J jnl
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond.
CoRR
Pengwei Liang, Junjun Jiang, Qing Ma, Xianming Liu, Jiayi Ma
2024 J jnl
GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression.
IEEE Trans. Circuits Syst. Video Technol.
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao
2024 J jnl
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression.
CoRR
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao
2024 A* conf
Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration.
ACM Multimedia
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2024 J jnl
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models.
CoRR
Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun
2024 J jnl
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction.
IEEE Trans. Computational Imaging
Ziqi Bai, Xianming Liu, Cheng Guo, Kui Jiang, Junjun Jiang, Xiangyang Ji
2024 J jnl
Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens.
Kanghui Zhao, Tao Lu, Jiaming Wang, Yanduo Zhang, Junjun Jiang, Zixiang Xiong
2024 J jnl
Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve.
ACM Trans. Multim. Comput. Commun. Appl.
Jinwang Pan, Xianming Liu, Yuanchao Bai, Deming Zhai, Junjun Jiang, Debin Zhao
2024 J jnl
Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning.
IEEE CAA J. Autom. Sinica
Kui Jiang, Ruoxi Wang, Yi Xiao, Junjun Jiang, Xin Xu, Tao Lu
2024 — conf
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training.
ECCV (24)
Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang
2024 J jnl
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training.
CoRR
Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang
2024 J jnl
Incrementally Adapting Pretrained Model Using Network Prior for Multi-Focus Image Fusion.
IEEE Trans. Image Process.
Xingyu Hu, Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma
2024 J jnl
LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution.
CoRR
Chenyang Wang, Wenjie An, Kui Jiang, Xianming Liu, Junjun Jiang
2024 J jnl
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image.
CoRR
Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu
2024 A* conf
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration.
AAAI
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2024 A* conf
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation.
AAAI
Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu
2024 J jnl
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction.
IEEE CAA J. Autom. Sinica
Qian Hu, Jiayi Ma, Yuan Gao, Junjun Jiang, Yixuan Yuan
2024 J jnl
MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields.
CoRR
Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu
2024 — conf
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results.
CVPR Workshops
Xin Jin, Chunle Guo, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun, Xiangyu Kong, Xiaoxia Xing, Jinlong Wu, Yuanyang Xue, Hyunhee Park, Sejun Song, Changho Kim, Jingfan Tan, Wenhan Luo, Zikun Liu, Mingde Qiao, Junjun Jiang, Kui Jiang, Yao Xiao, Chuyang Sun, Jinhui Hu, Weijian Ruan, Yubo Dong, Kai Chen, Hyejeong Jo, Jiahao Qin, Bingjie Han, Pinle Qin, Rui Chai, Pengyuan Wang
2024 J jnl
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results.
CoRR
Xin Jin, Chunle Guo, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun, Xiangyu Kong, Xiaoxia Xing, Jinlong Wu, Yuanyang Xue, Hyunhee Park, Sejun Song, Changho Kim, Jingfan Tan, Wenhan Luo, Zikun Liu, Mingde Qiao, Junjun Jiang, Kui Jiang, Yao Xiao, Chuyang Sun, Jinhui Hu, Weijian Ruan, Yubo Dong, Kai Chen, Hyejeong Jo, Jiahao Qin, Bingjie Han, Pinle Qin, Rui Chai, Pengyuan Wang
2024 J jnl
MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training.
CoRR
Jiayang Li, Junjun Jiang, Pengwei Liang, Jiayi Ma
2024 J jnl
Mesh Denoising Transformer.
CoRR
Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2024 J jnl
Omniscient Video Super-Resolution with Explicit-Implicit Alignment.
ACM Trans. Multim. Comput. Commun. Appl.
Peng Yi, Zhongyuan Wang, Laigan Luo, Kui Jiang, Zheng He, Junjun Jiang, Tao Lu, Jiayi Ma
2024 A* conf
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition.
CVPR
Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu
2024 J jnl
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition.
CoRR
Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu
2024 J jnl
Overhead-free Noise-tolerant Federated Learning: A New Baseline.
Mach. Intell. Res.
Shiyi Lin, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji
2024 J jnl
PVContext: Hybrid Context Model for Point Cloud Compression.
CoRR
Guoqing Zhang, Wenbo Zhao, Jian Liu, Yuanchao Bai, Junjun Jiang, Xianming Liu
2024 J jnl
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation.
IEEE Trans. Neural Networks Learn. Syst.
Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu
2024 J jnl
Reciprocal transformer for hyperspectral and multispectral image fusion.
Inf. Fusion
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
2024 J jnl
Rethinking Prior-Guided Face Super-Resolution: A New Paradigm With Facial Component Prior.
IEEE Trans. Neural Networks Learn. Syst.
Tao Lu, Yuanzhi Wang, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong
2024 J jnl
SDGE: Stereo Guided Depth Estimation for 360° Camera Sets.
CoRR
Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu
2024 A conf
SDGE: Stereo Guided Depth Estimation for 360°Camera Sets.
IROS
Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu
2024 J jnl
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance.
CoRR
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
2024 J jnl
SPADNet: Structure Prior-Aware Dynamic Network for Face Super-Resolution.
IEEE Trans. Biom. Behav. Identity Sci.
Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu
2024 J jnl
Scm6A: A Fast and Low-cost Method for Quantifying m6A Modifications at the Single-cell Level.
Genom. Proteom. Bioinform.
Yueqi Li, Jingyi Li, Wenxing Li, Shuaiyi Liang, Wudi Wei, Jiemei Chu, Jingzhen Lai, Yao Lin, Hubin Chen, Jinming Su, Xiaopeng Hu, Gang Wang, Jun Meng, Junjun Jiang, Li Ye, Sanqi An
2024 J jnl
SegCLIP: Multimodal Visual-Language and Prompt Learning for High-Resolution Remote Sensing Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Shijie Zhang, Bin Zhang, Yuntao Wu, Huabing Zhou, Junjun Jiang, Jiayi Ma
2024 C conf
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression.
VCIP
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu
2024 J jnl
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression.
CoRR
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu
2024 J jnl
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering.
CoRR
Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
2024 J jnl
Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kanghui Zhao, Tao Lu, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong
2024 — conf
TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.
ECCV Workshops (1)
Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang
2024 J jnl
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR
Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu
2024 — conf
The Third Monocular Depth Estimation Challenge.
CVPR Workshops
Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, Zhengxin Li, Qiang Rao, Yiping Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder
2024 J jnl
The Third Monocular Depth Estimation Challenge.
CoRR
Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, Zhengxin Li, Qiang Rao, Yiping Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder
2024 — conf
Thermal Image Super-Resolution Challenge Results - PBVS 2024.
CVPR Workshops
Rafael E. Rivadeneira, Angel Domingo Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen, Shiqi Wang
2024 J jnl
Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach.
IEEE Trans. Image Process.
Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu
2024 J jnl
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach.
CoRR
Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu
2024 J jnl
Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios.
CoRR
Jialei Xu, Xianming Liu, Junjun Jiang, Kui Jiang, Rui Li, Kai Cheng, Xiangyang Ji
2024 A* conf
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data.
ICLR
Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji
2024 A* conf
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning.
CVPR
Jiahan Li, Jiuyang Dong, Shenjin Huang, Xi Li, Junjun Jiang, Xiaopeng Fan, Yongbing Zhang
2024 A* conf
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs.
ICLR
Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2023 J jnl
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2023 J jnl
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection.
CoRR
Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang
2023 J jnl
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study.
CoRR
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2023 J jnl
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network.
IEEE CAA J. Autom. Sinica
Xinya Wang, Jiayi Ma, Junjun Jiang
2023 A* conf
DAWN: Direction-aware Attention Wavelet Network for Image Deraining.
ACM Multimedia
Kui Jiang, Wenxuan Liu, Zheng Wang, Xian Zhong, Junjun Jiang, Chia-Wen Lin
2023 J jnl
DCTNet: A Heterogeneous Dual-Branch Multi-Cascade Network for Infrared and Visible Image Fusion.
IEEE Trans. Instrum. Meas.
Jinfu Li, Lei Liu, Hong Song, Yuqi Huang, Junjun Jiang, Jian Yang
2023 J jnl
Deep Learning-based Face Super-resolution: A Survey.
ACM Comput. Surv.
Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma
2023 J jnl
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation.
Mach. Intell. Res.
Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang
2023 J jnl
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration.
CoRR
Kui Jiang, Xuemei Jia, Wenxin Huang, Wenbin Wang, Zheng Wang, Junjun Jiang
2023 J jnl
FaceFormer: Aggregating Global and Local Representation for Face Hallucination.
IEEE Trans. Circuits Syst. Video Technol.
Yuanzhi Wang, Tao Lu, Yanduo Zhang, Zhongyuan Wang, Junjun Jiang, Zixiang Xiong
2023 J jnl
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution.
CoRR
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2023 J jnl
Guided Depth Map Super-Resolution: A Survey.
ACM Comput. Surv.
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji
2023 J jnl
Guided Depth Map Super-resolution: A Survey.
CoRR
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji
2023 J jnl
Image Deblurring by Exploring In-depth Properties of Transformer.
CoRR
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
2023 J jnl
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution.
CoRR
Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu
2023 — conf
Large Sparse Kernels for Federated Learning.
Tiny Papers @ ICLR
Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu
2023 A conf
Learning Lossless Compression for High Bit-Depth Medical Imaging.
ICME
Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu
2023 J jnl
Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution.
Inf. Fusion
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
2023 J jnl
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration.
CoRR
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu
2023 J jnl
Loop Closure Detection via Locality Preserving Matching With Global Consensus.
IEEE CAA J. Autom. Sinica
Jiayi Ma, Kaining Zhang, Junjun Jiang
2023 J jnl
Multi-Scale Hybrid Fusion Network for Single Image Deraining.
IEEE Trans. Neural Networks Learn. Syst.
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Guangcheng Wang, Zhen Han, Junjun Jiang, Zixiang Xiong
2023 — conf
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
CVPR Workshops
Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
2023 A* conf
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation.
ICML
Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji
2023 J jnl
On the Dynamics Under the Unhinged Loss and Beyond.
CoRR
Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
2023 J jnl
On the Dynamics Under the Unhinged Loss and Beyond.
J. Mach. Learn. Res.
Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
2023 J jnl
Progressive Token Reduction and Compensation for Hyperspectral Image Representation.
IEEE Trans. Geosci. Remote. Sens.
Chen Ma, Junjun Jiang, Huayi Li, Wenxue Cui, Guoyuan Li
2023 J jnl
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution.
Remote. Sens.
Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang
2023 A* conf
Robust and Scalable Gaussian Process Regression and Its Applications.
CVPR
Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang
2023 J jnl
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2023 A* conf
Spatial-Frequency Mutual Learning for Face Super-Resolution.
CVPR
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu
2023 J jnl
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza
2023 J jnl
Super-Resolving Face Image by Facial Parsing Information.
CoRR
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu
2023 J jnl
Super-Resolving Face Image by Facial Parsing Information.
IEEE Trans. Biom. Behav. Identity Sci.
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu
2023 B conf
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data.
IJCB
Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz
2023 J jnl
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data.
CoRR
Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz
2023 J jnl
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.
CoRR
Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, JiaLe Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu
2023 — conf
Thermal Image Super-Resolution Challenge Results - PBVS 2023.
CVPR Workshops
Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Shengye Li
2023 J jnl
Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention.
IEEE Trans. Image Process.
Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao
2023 J jnl
ZMFF: Zero-shot multi-focus image fusion.
Inf. Fusion
Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma
2022 J jnl
A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens.
Xinya Wang, Qian Hu, Junjun Jiang, Jiayi Ma
2022 J jnl
A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell.
Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Jiayi Ma
2022 J jnl
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring.
IEEE CAA J. Autom. Sinica
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
2022 J jnl
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation.
CoRR
Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang
2022 A* conf
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement.
ACM Multimedia
Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu
2022 A* conf
DANet: Image Deraining via Dynamic Association Learning.
IJCAI
Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin
2022 J jnl
DBDnet: A Deep Boosting Strategy for Image Denoising.
IEEE Trans. Multim.
Jiayi Ma, Chengli Peng, Xin Tian, Junjun Jiang
2022 J jnl
Deep Unfolding Network for Spatiospectral Image Super-Resolution.
IEEE Trans. Computational Imaging
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
2022 J jnl
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation.
CoRR
Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang
2022 J jnl
Dilated projection correction network based on autoencoder for hyperspectral image super-resolution.
Neural Networks
Xinya Wang, Jiayi Ma, Junjun Jiang, Xiao-Ping Zhang
2022 J jnl
Dual-Path Deep Fusion Network for Face Image Hallucination.
IEEE Trans. Neural Networks Learn. Syst.
Kui Jiang, Zhongyuan Wang, Peng Yi, Tao Lu, Junjun Jiang, Zixiang Xiong
2022 — conf
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report.
ECCV Workshops (3)
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
2022 J jnl
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report.
CoRR
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
2022 J jnl
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness.
CoRR
Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang
2022 J jnl
Feature Matching for Remote-Sensing Image Registration via Neighborhood Topological and Affine Consistency.
Remote. Sens.
Xi Gong, Feng Yao, Jiayi Ma, Junjun Jiang, Tao Lu, Yanduo Zhang, Huabing Zhou
2022 — conf
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution.
CVPR Workshops
Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma
2022 J jnl
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
2022 — conf
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion.
ECCV (18)
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
2022 — conf
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting.
CVPR Workshops
Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu
2022 J jnl
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting.
CoRR
Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu
2022 J jnl
Group Shuffle and Spectral-Spatial Fusion for Hyperspectral Image Super-Resolution.
IEEE Trans. Computational Imaging
Xinya Wang, Yingsong Cheng, Xiaoguang Mei, Junjun Jiang, Jiayi Ma
2022 J jnl
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion.
IEEE Trans. Image Process.
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji
2022 A* conf
Hybrid Conditional Deep Inverse Tone Mapping.
ACM Multimedia
Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu
2022 J jnl
Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer.
Remote. Sens.
Chen Ma, Junjun Jiang, Huayi Li, Xiaoguang Mei, Chengchao Bai
2022 J jnl
Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial-Spectral Consistency Regularization.
IEEE Trans. Geosci. Remote. Sens.
Xinya Wang, Jiayi Ma, Junjun Jiang
2022 A* conf
Learning Towards The Largest Margins.
ICLR
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
2022 J jnl
Learning Towards the Largest Margins.
CoRR
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
2022 J jnl
Learning an epipolar shift compensation for light field image super-resolution.
Inf. Fusion
Xinya Wang, Jiayi Ma, Peng Yi, Xin Tian, Junjun Jiang, Xiao-Ping Zhang
2022 — conf
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices.
ECCV Workshops (2)
Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang
2022 J jnl
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices.
CoRR
Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang
2022 A* conf
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising.
AAAI
Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji
2022 J jnl
Loop Closure Detection With Reweighting NetVLAD and Local Motion and Structure Consensus.
IEEE CAA J. Autom. Sinica
Kaining Zhang, Jiayi Ma, Junjun Jiang
2022 A* conf
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation.
ACM Multimedia
Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji
2022 J jnl
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation.
CoRR
Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji
2022 J jnl
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution.
IEEE Trans. Image Process.
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
2022 J jnl
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Junjun Jiang, Jiayi Ma, Xianming Liu
2022 — conf
NTIRE 2022 Image Inpainting Challenge: Report.
CVPR Workshops
Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang
2022 J jnl
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol.
Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu
2022 A* conf
Prototype-Anchored Learning for Learning with Imperfect Annotations.
ICML
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
2022 J jnl
Prototype-Anchored Learning for Learning with Imperfect Annotations.
CoRR
Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji
2022 J jnl
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation.
CoRR
Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu
2022 J jnl
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu
2022 A* conf
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation.
CVPR
Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji
2022 J jnl
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation.
CoRR
Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji
2022 J jnl
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty.
IEEE CAA J. Autom. Sinica
Zhenyu Li, Junjun Jiang, Xianming Liu
2022 A* conf
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon.
CVPR
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2022 J jnl
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon.
CoRR
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
2022 A* conf
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations.
AAAI
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao
2022 A* conf
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning.
CVPR
Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang
2022 J jnl
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning.
CoRR
Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang
2022 J jnl
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai
2022 — conf
Thermal Image Super-Resolution Challenge Results - PBVS 2022.
CVPR Workshops
Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang
2022 A* conf
Towards End-to-End Image Compression and Analysis with Transformers.
AAAI
Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao
2022 J jnl
U2Fusion: A Unified Unsupervised Image Fusion Network.
IEEE Trans. Pattern Anal. Mach. Intell.
Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, Haibin Ling
2022 J jnl
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training.
CoRR
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
2022 — conf
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training.
ECCV (9)
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
2021 J jnl
A Practical Contrastive Learning Framework for Single Image Super-Resolution.
CoRR
Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma
2021 A* conf
Asymmetric Loss Functions for Learning with Noisy Labels.
ICML
Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji
2021 J jnl
Asymmetric Loss Functions for Learning with Noisy Labels.
CoRR
Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji
2021 J jnl
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring.
CoRR
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
2021 J jnl
Decomposition Makes Better Rain Removal: An Improved Attention-Guided Deraining Network.
IEEE Trans. Circuits Syst. Video Technol.
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zhen Han, Tao Lu, Baojin Huang, Junjun Jiang
2021 J jnl
Deep Attentional Guided Image Filtering.
CoRR
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji
2021 J jnl
Deep Learning-based Face Super-resolution: A Survey.
CoRR
Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma
2021 A* conf
Face Hallucination via Split-Attention in Split-Attention Network.
ACM Multimedia
Tao Lu, Yuanzhi Wang, Yanduo Zhang, Yu Wang, Wei Liu, Zhongyuan Wang, Junjun Jiang
2021 J jnl
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.
CoRR
Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide
2021 A conf
Heatmap-Aware Pyramid Face Hallucination.
ICME
Chenyang Wang, Junjun Jiang, Xianming Liu
2021 J jnl
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion.
CoRR
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji
2021 J jnl
Image Matching from Handcrafted to Deep Features: A Survey.
Int. J. Comput. Vis.
Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan
2021 J jnl
Image fusion meets deep learning: A survey and perspective.
Inf. Fusion
Hao Zhang, Han Xu, Xin Tian, Junjun Jiang, Jiayi Ma
2021 — conf
Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation.
MMAsia
Ziqian Liu, Qing Ma, Junjun Jiang, Xianming Liu
2021 J jnl
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution.
CoRR
Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma
2021 A* conf
Learning with Noisy Labels via Sparse Regularization.
ICCV
Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
2021 J jnl
Learning with Noisy Labels via Sparse Regularization.
CoRR
Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji
2021 J jnl
MPIN: a macro-pixel integration network for light field super-resolution.
Frontiers Inf. Technol. Electron. Eng.
Xinya Wang, Jiayi Ma, Wenjing Gao, Junjun Jiang
2021 J jnl
Multi-Level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy.
IEEE J. Sel. Top. Signal Process.
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Xiaofen Wang, Junjun Jiang, Zixiang Xiong
2021 J jnl
Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations.
IEEE Trans. Image Process.
Liang Chen, Jinshan Pan, Junjun Jiang, Jiawei Zhang, Zhen Han, Linchao Bao
2021 A* conf
Omniscient Video Super-Resolution.
ICCV
Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma
2021 J jnl
Omniscient Video Super-Resolution.
CoRR
Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma
2021 A* conf
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging.
CVPR
Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji
2021 J jnl
Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining.
IEEE Trans. Image Process.
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zheng Wang, Xiao Wang, Junjun Jiang, Chia-Wen Lin
2021 J jnl
Ranking list preservation for feature matching.
Pattern Recognit.
Junjun Jiang, Qing Ma, Xingyu Jiang, Jiayi Ma
2021 J jnl
Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing.
IEEE Trans. Computational Imaging
Qiang Li, Xianming Liu, Junjun Jiang, Cheng Guo, Xiangyang Ji, Xiaolin Wu
2021 J jnl
SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation.
IEEE Trans. Geosci. Remote. Sens.
Han Xu, Jiayi Ma, Zhenfeng Shao, Hao Zhang, Junjun Jiang, Xiaojie Guo
2021 J jnl
SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization.
IEEE Trans. Computational Imaging
Jiayi Ma, Zhuliang Le, Xin Tian, Junjun Jiang
2021 J jnl
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations.
CoRR
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao
2021 J jnl
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution.
CoRR
Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma
2021 J jnl
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network.
CoRR
Yuanzhi Wang, Tao Lu, Yanduo Zhang, Junjun Jiang, Jiaming Wang, Zhongyuan Wang, Jiayi Ma
2021 A* conf
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning.
ACM Multimedia
Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu
2021 J jnl
Towards End-to-End Image Compression and Analysis with Transformers.
CoRR
Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao
2021 J jnl
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data.
CoRR
Jialei Xu, Yuanchao Bai, Xianming Liu, Junjun Jiang, Xiangyang Ji
2021 A conf
Zero-Shot Multi-Focus Image Fusion.
ICME
Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma
2020 Misc conf
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising.
ICASSP
Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu
2020 J jnl
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising.
CoRR
Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu
2020 J jnl
ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination.
IEEE Trans. Multim.
Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Ke Gu, Junjun Jiang
2020 J jnl
Adaptive MultiScale Segmentations for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Qingming Leng, Haiou Yang, Junjun Jiang, Qi Tian
2020 Misc conf
Attention-Guided Deraining Network Via Stage-Wise Learning.
ICASSP
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang
2020 J jnl
Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning.
IEEE Trans. Cybern.
Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa
2020 J jnl
DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion.
IEEE Trans. Image Process.
Jiayi Ma, Han Xu, Junjun Jiang, Xiaoguang Mei, Xiao-Ping (Steven) Zhang
2020 J jnl
Ensemble Super-Resolution With a Reference Dataset.
IEEE Trans. Cybern.
Junjun Jiang, Yi Yu, Zheng Wang, Suhua Tang, Ruimin Hu, Jiayi Ma
2020 A* conf
FusionDN: A Unified Densely Connected Network for Image Fusion.
AAAI
Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, Xiaojie Guo
2020 — conf
Geometric Estimation via Robust Subspace Recovery.
ECCV (22)
Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma
2020 J jnl
Global-local fusion network for face super-resolution.
Neurocomputing
Tao Lu, Jiaming Wang, Junjun Jiang, Yanduo Zhang
2020 J jnl
Hierarchical dense recursive network for image super-resolution.
Pattern Recognit.
Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang
2020 J jnl
Image Superresolution via Dense Discriminative Network.
IEEE Trans. Ind. Electron.
Jiayi Ma, Xinya Wang, Junjun Jiang
2020 J jnl
Infrared and visible image fusion via detail preserving adversarial learning.
Inf. Fusion
Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang
2020 J jnl
Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification.
IEEE Trans. Image Process.
Zheng Wang, Junjun Jiang, Yang Wu, Mang Ye, Xiang Bai, Shin'ichi Satoh
2020 J jnl
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery.
CoRR
Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma
2020 J jnl
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery.
IEEE Trans. Computational Imaging
Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma
2020 — conf
Lyrics-Conditioned Neural Melody Generation.
MMM (2)
Yi Yu, Florian Harscoët, Simon Canales, Gurunath Reddy M, Suhua Tang, Junjun Jiang
2020 A* conf
Multi-Scale Progressive Fusion Network for Single Image Deraining.
CVPR
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
2020 J jnl
Multi-Scale Progressive Fusion Network for Single Image Deraining.
CoRR
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
2020 J jnl
Noisy practical facial super-resolution method via deformable constrained model with small dataset.
Multim. Tools Appl.
Liang Chen, Qing Li, Junjun Jiang
2020 — conf
Optimizing Hydrography Ontology Alignment Through Compact Particle Swarm Optimization Algorithm.
ICSI
Yifeng Wang, Hanguang Yao, Liangpeng Wan, Hua Li, Junjun Jiang, Yun Zhang, Fangmin Wu, Junfeng Chen, Xingsi Xue, Cai Dai
2020 J jnl
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion.
Inf. Fusion
Jiayi Ma, Wei Yu, Chen Chen, Pengwei Liang, Xiaojie Guo, Junjun Jiang
2020 Misc conf
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination.
ICASSP
Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu
2020 J jnl
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis.
CoRR
Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao
2020 J jnl
Robust Face Super-Resolution via Position Relation Model Based on Global Face Context.
IEEE Trans. Image Process.
Liang Chen, Jinshan Pan, Junjun Jiang, Jiawei Zhang, Yi Wu
2020 J jnl
Robust Feature Matching Using Spatial Clustering With Heavy Outliers.
IEEE Trans. Image Process.
Xingyu Jiang, Jiayi Ma, Junjun Jiang, Xiaojie Guo
2020 B conf
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval.
ICIP
Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang
2020 A* conf
Single Image Deraining via Scale-space Invariant Attention Neural Network.
ACM Multimedia
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
2020 J jnl
Single Image Deraining via Scale-space Invariant Attention Neural Network.
CoRR
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
2020 J jnl
Unsupervised Constrative Person Re-identification.
CoRR
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu
2019 J jnl
A non-parametric depth modification model for registration between color and depth images.
Multidimens. Syst. Signal Process.
Li Peng, Yanduo Zhang, Huabing Zhou, Junjun Jiang, Jiayi Ma
2019 — conf
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.
ICCV Workshops
Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen
2019 — conf
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results.
ICCV Workshops
Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai
2019 J jnl
Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint.
IEEE Access
Qi Zheng, Jun Chen, Zhongyuan Wang, Junjun Jiang, Chao Liang
2019 J jnl
Edge-Enhanced GAN for Remote Sensing Image Superresolution.
IEEE Trans. Geosci. Remote. Sens.
Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu, Junjun Jiang
2019 J jnl
Ensemble Super-Resolution with A Reference Dataset.
CoRR
Junjun Jiang, Yi Yu, Zheng Wang, Suhua Tang, Ruimin Hu, Jiayi Ma
2019 — conf
Event-Oriented Wiki Document Generation.
JIST
Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang
2019 J jnl
Face hallucination through differential evolution parameter map learning with facial structure prior.
Inf. Sci.
Junjun Jiang, Jiayi Ma, Suhua Tang, Yi Yu, Kiyoharu Aizawa
2019 J jnl
Feature-guided Gaussian mixture model for image matching.
Pattern Recognit.
Jiayi Ma, Xingyu Jiang, Junjun Jiang, Yuan Gao
2019 J jnl
FusionGAN: A generative adversarial network for infrared and visible image fusion.
Inf. Fusion
Jiayi Ma, Wei Yu, Pengwei Liang, Chang Li, Junjun Jiang
2019 A conf
GAN-Based Multi-level Mapping Network for Satellite Imagery Super-Resolution.
ICME
Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, Guangcheng Wang, Zhen Han, Tao Lu
2019 J jnl
Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis.
IEEE Trans. Image Process.
Junjun Jiang, Yi Yu, Zheng Wang, Xianming Liu, Jiayi Ma
2019 J jnl
Hyperspectral Image Classification in the Presence of Noisy Labels.
IEEE Trans. Geosci. Remote. Sens.
Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu
2019 — conf
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network.
IFTC
He Sun, Zhiwei Zhong, Deming Zhai, Xianming Liu, Junjun Jiang
2019 J jnl
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access
Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
2019 Misc conf
Image Super-resolution via Deep Aggregation Network.
ICASSP
Xinya Wang, Jiayi Ma, Junjun Jiang
2019 J jnl
Incremental Re-Identification by Cross-Direction and Cross-Ranking Adaption.
IEEE Trans. Multim.
Zheng Wang, Junjun Jiang, Yi Yu, Shin'ichi Satoh
2019 J jnl
LMR: Learning a Two-Class Classifier for Mismatch Removal.
IEEE Trans. Image Process.
Jiayi Ma, Xingyu Jiang, Junjun Jiang, Ji Zhao, Xiaojie Guo
2019 J jnl
Label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification.
Remote. Sens.
Qingming Leng, Haiou Yang, Junjun Jiang
2019 J jnl
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote. Sens.
Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai
2019 A* conf
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators.
IJCAI
Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma
2019 J jnl
Locality Preserving Matching.
Int. J. Comput. Vis.
Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou, Xiaojie Guo
2019 J jnl
Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking.
IEEE Trans. Multim.
Weijian Ruan, Jun Chen, Yi Wu, Jinqiao Wang, Chao Liang, Ruimin Hu, Junjun Jiang
2019 J jnl
Multi-Memory Convolutional Neural Network for Video Super-Resolution.
IEEE Trans. Image Process.
Zhongyuan Wang, Peng Yi, Kui Jiang, Junjun Jiang, Zhen Han, Tao Lu, Jiayi Ma
2019 — conf
Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification.
IFTC
Jiliang Yan, Deming Zhai, Yi Niu, Xianming Liu, Junjun Jiang
2019 J jnl
Multiscale Locality and Rank Preservation for Robust Feature Matching of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Xingyu Jiang, Junjun Jiang, Aoxiang Fan, Zhongyuan Wang, Jiayi Ma
2019 — conf
NTIRE 2019 Challenge on Image Enhancement: Methods and Results.
CVPR Workshops
Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi
2019 — conf
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results.
CVPR Workshops
Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo
2019 J jnl
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Jiayi Ma, Jia Wu, Ji Zhao, Junjun Jiang, Huabing Zhou, Quan Z. Sheng
2019 A* conf
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations.
ICCV
Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma
2019 J jnl
Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network.
Remote. Sens.
Tao Lu, Jiaming Wang, Yanduo Zhang, Zhongyuan Wang, Junjun Jiang
2019 J jnl
Semisupervised Discriminant Multimanifold Analysis for Action Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Zengmin Xu, Ruimin Hu, Jun Chen, Chen Chen, Junjun Jiang, Jiaofen Li, Hongyang Li
2019 J jnl
SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images.
IEEE Access
Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai
2019 J jnl
Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction.
IEEE Geosci. Remote. Sens. Lett.
Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai
2018 J jnl
A Progressively Enhanced Network for Video Satellite Imagery Superresolution.
IEEE Signal Process. Lett.
Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang
2018 J jnl
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning.
CoRR
Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa
2018 A* conf
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination.
IJCAI
Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma
2018 J jnl
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination.
CoRR
Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma
2018 J jnl
Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution.
Remote. Sens.
Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, Jing Xiao, Yuan Yao
2018 B conf
Face Hallucination Using Manifold-Regularized Group Locality-Constrained Representation.
ICIP
Tao Lu, Kangli Zeng, Junjun Jiang, Yanduo Zhang, Wei He, Zhongyuan Wang, Huabing Zhou
2018 Misc conf
Feature Matching Based on Top K Rank Similarity.
ICASSP
Junjun Jiang, Qing Ma, Tao Lu, Zhongyuan Wang, Jiayi Ma
2018 J jnl
Group Embedding for Face Hallucination.
IEEE Access
Tao Lu, Kangli Zeng, Zixiang Xiong, Junjun Jiang, Yanduo Zhang
2018 J jnl
Guided Locality Preserving Feature Matching for Remote Sensing Image Registration.
IEEE Trans. Geosci. Remote. Sens.
Jiayi Ma, Junjun Jiang, Huabing Zhou, Ji Zhao, Xiaojie Guo
2018 J jnl
Hyperspectral Image Classification in the Presence of Noisy Labels.
CoRR
Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu
2018 J jnl
Noise robust face hallucination algorithm using local content prior based error shrunk nearest neighbors representation.
Signal Process.
Shyam Singh Rajput, Ankur Singh, K. V. Arya, Junjun Jiang
2018 — conf
Nonlinear Contextual Face Hallucination.
IFTC
Kangli Zeng, Tao Lu, Junjun Jiang, Zhongyuan Wang
2018 J jnl
Person Reidentification via Discrepancy Matrix and Matrix Metric.
IEEE Trans. Cybern.
Zheng Wang, Ruimin Hu, Chen Chen, Yi Yu, Junjun Jiang, Chao Liang, Shin'ichi Satoh
2018 J jnl
Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment.
Entropy
Tao Lu, Jiaming Wang, Huabing Zhou, Junjun Jiang, Jiayi Ma, Zhongyuan Wang
2018 — conf
Reinforcing Pedestrian Parsing on Small Scale Dataset.
MMM (1)
Qi Zheng, Jun Chen, Junjun Jiang, Ruimin Hu
2018 Misc conf
Residual Learning for Face Sketch Synthesis.
ICASSP
Junjun Jiang, Yi Yu, Zheng Wang, Jiayi Ma
2018 J jnl
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter.
Sensors
Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai
2018 J jnl
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery.
CoRR
Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
2018 J jnl
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
2018 A* conf
Visual Homing via Guided Locality Preserving Matching.
ICRA
Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou, Yu Zhou, Zheng Wang, Xiaojie Guo
2017 A conf
A unified model for improving depth accuracy in kinect sensor.
ICME
Li Peng, Yanduo Zhang, Huabing Zhou, Deng Chen, Zhenghong Yu, Junjun Jiang, Jiayi Ma
2017 J jnl
Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features.
Multim. Tools Appl.
Chen Chen, Baochang Zhang, Zhenjie Hou, Junjun Jiang, Mengyuan Liu, Yun Yang
2017 A conf
Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning.
ICME
Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Guo-Jun Qi, Akiko Aizawa
2017 A conf
DLML: Deep linear mappings learning for face super-resolution with nonlocal-patch.
ICME
Tao Lu, Lanlan Pan, Junjun Jiang, Yanduo Zhang, Zixiang Xiong
2017 B conf
Face hallucination using region-based deep convolutional networks.
ICIP
Tao Lu, Hao Wang, Zixiang Xiong, Junjun Jiang, Yanduo Zhang, Huabing Zhou, Zhongyuan Wang
2017 J jnl
Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration.
Inf. Sci.
Jiayi Ma, Junjun Jiang, Chengyin Liu, Yansheng Li
2017 J jnl
HRM graph constrained dictionary learning for face image super-resolution.
Multim. Tools Appl.
Kebin Huang, Ruimin Hu, Junjun Jiang, Zhen Han, Feng Wang
2017 A* conf
Locality Preserving Matching.
IJCAI
Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, Yuan Gao
2017 J jnl
Multiscale Union Regions Adaptive Sparse Representation for Hyperspectral Image Classification.
Remote. Sens.
Fei Tong, Hengjian Tong, Junjun Jiang, Yun Zhang
2017 J jnl
Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation.
IEEE Trans. Cybern.
Junjun Jiang, Jiayi Ma, Chen Chen, Xinwei Jiang, Zheng Wang
2017 A* conf
Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization.
AAAI
Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou
2017 J jnl
SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior.
IEEE Trans. Multim.
Junjun Jiang, Chen Chen, Jiayi Ma, Zheng Wang, Zhongyuan Wang, Ruimin Hu
2017 J jnl
Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means.
IEEE Trans. Multim.
Junjun Jiang, Xiang Ma, Chen Chen, Tao Lu, Zhongyuan Wang, Jiayi Ma
2017 J jnl
Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Junjun Jiang, Chen Chen, Yi Yu, Xinwei Jiang, Jiayi Ma
2017 A* conf
Statistical Inference of Gaussian-Laplace Distribution for Person Verification.
ACM Multimedia
Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Jiayi Ma, Shin'ichi Satoh
2017 J jnl
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai
2016 A* conf
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector.
IJCAI
Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu
2016 J jnl
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images.
Signal Process.
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai
2016 — conf
Face Image Super-Resolution Through Improved Neighbor Embedding.
MMM (1)
Kebin Huang, Ruimin Hu, Junjun Jiang, Zhen Han, Feng Wang
2016 J jnl
Facial Image Hallucination Through Coupled-Layer Neighbor Embedding.
IEEE Trans. Circuits Syst. Video Technol.
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Jiayi Ma
2016 J jnl
Heteroskedasticity tuned mixed-norm sparse regularization for face hallucination.
Multim. Tools Appl.
Zhongyuan Wang, Ruimin Hu, Junjun Jiang, Zhen Han, Zhenfeng Shao
2016 Misc conf
Hyperspectral image classification using set-to-set distance.
ICASSP
Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai
2016 C conf
Hyperspectral image denoising with segmentation-based low rank representation.
VCIP
Jiayi Ma, Junjun Jiang, Chang Li
2016 Misc conf
L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise.
ICASSP
Junjun Jiang, Zhongyuan Wang, Chen Chen, Tao Lu
2016 C conf
Multimodal retinal image registration using edge map and feature guided Gaussian mixture model.
VCIP
Jiayi Ma, Junjun Jiang, Jun Chen, Chengyin Liu, Chang Li
2016 J jnl
Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation.
Inf. Sci.
Junjun Jiang, Chen Chen, Kebin Huang, Zhihua Cai, Ruimin Hu
2016 A conf
Robust image matching via feature guided Gaussian mixture model.
ICME
Jiayi Ma, Junjun Jiang, Yuan Gao, Jun Chen, Chengyin Liu
2016 A* conf
Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface.
IJCAI
Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Chao Liang, Jinqiao Wang
2016 C conf
Smooth sparse representation for noise robust face super-resolution.
VCIP
Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Tao Lu
2016 J jnl
Zero-Shot Person Re-identification via Cross-View Consistency.
IEEE Trans. Multim.
Zheng Wang, Ruimin Hu, Chao Liang, Yi Yu, Junjun Jiang, Mang Ye, Jun Chen, Qingming Leng
2015 — conf
Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition.
MMM (1)
Junjun Jiang, Ruimin Hu, Zhen Han, Liang Chen, Jun Chen
2015 Misc conf
Face hallucination via Cauchy regularized sparse representation.
ICASSP
Shenming Qu, Ruimin Hu, Shihong Chen, Zhongyuan Wang, Junjun Jiang, Cheng Yang
2015 — conf
Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition.
ISVC (1)
Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang
2015 — conf
Hyperspectral image classification using Gradient Local Auto-Correlations.
ACPR
Chen Chen, Junjun Jiang, Baochang Zhang, Wankou Yang, Jianzhong Guo
2015 A conf
Locally regularized Anchored Neighborhood Regression for fast Super-Resolution.
ICME
Junjun Jiang, Jican Fu, Tao Lu, Ruimin Hu, Zhongyuan Wang
2015 — conf
Person Re-identification Using Data-Driven Metric Adaptation.
MMM (2)
Zheng Wang, Ruimin Hu, Chao Liang, Junjun Jiang, Kaimin Sun, Qingming Leng, Bingyue Huang
2015 J jnl
Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming.
IEEE Trans. Geosci. Remote. Sens.
Jiayi Ma, Huabing Zhou, Ji Zhao, Yuan Gao, Junjun Jiang, Jinwen Tian
2014 C conf
Efficient learning based face hallucination approach via facial standard deviation prior.
ISCAS
Liang Chen, Ruimin Hu, Junjun Jiang, Zhen Han
2014 J jnl
Efficient single image super-resolution via graph-constrained least squares regression.
Multim. Tools Appl.
Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu
2014 J jnl
Face Hallucination Via Weighted Adaptive Sparse Regularization.
IEEE Trans. Circuits Syst. Video Technol.
Zhongyuan Wang, Ruimin Hu, Shizheng Wang, Junjun Jiang
2014 J jnl
Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning.
IEEE Trans. Image Process.
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han
2014 A conf
Face hallucination via re-identified K-nearest neighbors embedding.
ICME
Shenming Qu, Ruimin Hu, Shihong Chen, Junjun Jiang, Zhongyuan Wang, Jun Chen
2014 J jnl
Face image super-resolution through locality-induced support regression.
Signal Process.
Junjun Jiang, Ruimin Hu, Chao Liang, Zhen Han, Chunjie Zhang
2014 B conf
Gabor-based patch covariance matrix for face sketch synthesis.
ICIP
Jian Guan, Ruimin Hu, Junjun Jiang, Zhen Han
2014 J jnl
Low-Resolution and Low-Quality Face Super-Resolution in Monitoring Scene via Support-Driven Sparse Coding.
J. Signal Process. Syst.
Junjun Jiang, Ruimin Hu, Zhen Han, Zhongyuan Wang
2014 — conf
Noise Face Image Hallucination via Data-Driven Local Eigentransformation.
PCM
Xiaohui Dong, Ruimin Hu, Junjun Jiang, Zhen Han, Liang Chen, Ge Gao
2014 J jnl
Noise Robust Face Hallucination via Locality-Constrained Representation.
IEEE Trans. Multim.
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han
2014 J jnl
Noise robust face hallucination employing Gaussian-Laplacian mixture model.
Neurocomputing
Zhongyuan Wang, Zhen Han, Ruimin Hu, Junjun Jiang
2013 B conf
A joint learning based face hallucination approach for low quality face image.
ICIP
Liang Chen, Ruimin Hu, Zhen Han, Yang Xia, Junjun Jiang
2013 B conf
Coupled-layer neighbor embedding for surveillance face hallucination.
ICIP
Junjun Jiang, Ruimin Hu, Liang Chen, Zhen Han, Tao Lu, Jun Chen
2013 J jnl
Face Image Superresolution via Locality Preserving Projection and Sparse Coding.
J. Softw.
Kebin Huang, Ruimin Hu, Zhen Han, Tao Lu, Junjun Jiang, Feng Wang
2013 Misc conf
Face hallucination via weighted sparse representation.
ICASSP
Zhongyuan Wang, Junjun Jiang, Zixiang Xiong, Ruimin Hu, Zhenfeng Shao
2013 C conf
From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation.
VCIP
Tao Lu, Ruimin Hu, Zhen Han, Junjun Jiang, Yanduo Zhang
2013 A conf
Locality-constraint iterative neighbor embedding for face hallucination.
ICME
Junjun Jiang, Ruimin Hu, Zhen Han, Zhongyuan Wang, Tao Lu, Jun Chen
2013 Misc conf
Manifold regularized sparse support regression for single image super-resolution.
ICASSP
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Shi Dong
2013 C conf
Robust super-resolution for face images via principle component sparse representation and least squares regression.
ISCAS
Tao Lu, Ruimin Hu, Zhen Han, Junjun Jiang, Yang Xia
2013 C conf
Support-driven sparse coding for face hallucination.
ISCAS
Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zixiang Xiong, Zhen Han
2013 J jnl
Two-step superresolution approach for surveillance face image through radial basis function-partial least squares regression and locality-induced sparse representation.
J. Electronic Imaging
Junjun Jiang, Ruimin Hu, Zhen Han, Zhongyuan Wang, Jun Chen
2012 Misc conf
A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding.
ICASSP
Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang
2012 A conf
Efficient Single Image Super-Resolution via Graph Embedding.
ICME
Junjun Jiang, Ruimin Hu, Zhen Han, Kebin Huang, Tao Lu
2012 A conf
Enhanced Principal Component Using Polar Coordinate PCA for Stereo Audio Coding.
ICME
Shi Dong, Ruimin Hu, Weiping Tu, Xiang Zheng, Junjun Jiang, Song Wang
2012 B conf
Face hallucination via K-selection mean constrained sparse representation.
ICPR
Kebin Huang, Ruimin Hu, Zhen Han, Tao Lu, Junjun Jiang, Feng Wang
2012 A* conf
Face image super-resolution via nearest feature line.
ACM Multimedia
Zhen Han, Junjun Jiang, Ruimin Hu, Tao Lu, Kebin Huang
2012 B conf
Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face recognition.
ICIP
Junjun Jiang, Ruimin Hu, Zhen Han, Kebin Huang, Tao Lu
2012 A conf
Position-Patch Based Face Hallucination via Locality-Constrained Representation.
ICME
Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang
2012 C conf
Surveillance face hallucination via variable selection and manifold learning.
ISCAS
Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang