Publications

† Equal Contribution, * Corresponding Author(s)

2023

  1. arXiv
    Recursive Generalization Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, and Xiaokang Yang
    arXiv preprint arXiv:2303.06373 (arXiv), 2023
    PDF
  2. arXiv
    Xformer: Hybrid X-Shaped Transformer for Image Denoising
    Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, and Xiaokang Yang
    arXiv preprint arXiv:2303.06440 (arXiv), 2023
    PDF
  3. NeurIPS Spotlight
    Hierarchical Integration Diffusion Model for Realistic Image Deblurring
    Zheng Chen, Yulun Zhang*, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong*, and Xin Yuan
    In Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023
    PDF Code
  4. NeurIPS
    Binarized Spectral Compressive Imaging
    Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang*, and Haoqian Wang*
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
    PDF Code
  5. ACM MM
    Recurrent Self-Supervised Video Denoising with Denser Receptive Field
    Zichun Wang†, Yulun Zhang†, Debing Zhang, and Ying Fu
    In ACM International Conference on Multimedia (ACM MM), 2023
    PDF Code
  6. ACM MM
    Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
    Hao Shen, Zhongqiu Zhao, Yulun Zhang, and Zhao Zhang
    In ACM International Conference on Multimedia (ACM MM), 2023
    PDF Code
  7. ICCV
    Dual Aggregation Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Linghe Kong*, Xiaokang Yang, and Fisher Yu
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  8. ICCV
    Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
    Jiamian Wang, Huan Wang, Yulun Zhang*, Yun Fu, and Zhiqiang Tao*
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  9. ICCV
    DiffIR: Efficient Diffusion Model for Image Restoration
    Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, and Luc Van Gool
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  10. ICCV
    Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
    Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang*, Radu Timofte, and Yulun Zhang*
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  11. ICCV
    Alignment-free HDR Deghosting with Semantics Consistent Transformer
    Steven Tel, Zongwei Wu, Yulun Zhang*, Barthelemy Heyrman, Cedric Demonceaux, Radu Timofte, and Dominique Ginhac
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  12. ICCV
    Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction
    Miaoyu Li, Ying Fu, Ji Liu, and Yulun Zhang
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  13. ICCV
    Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion
    Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, and Xiu Li
    In International Conference on Computer Vision (ICCV), 2023
  14. ICCV Oral
    DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
    Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, and Luc Van Gool
    In International Conference on Computer Vision (ICCV Oral), 2023
    PDF Code
  15. ICCV
    Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
    Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In International Conference on Computer Vision (ICCV), 2023
    PDF Code
  16. MICCAI
    Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
    Longxiang Tang, Kai Li*, Chunming He, Yulun Zhang, and Xiu Li*
    In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
    PDF
  17. ICML
    Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off
    Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, and Wenming Yang
    In International Conference on Machine Learning (ICML), 2023
    PDF
  18. CVPR
    CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
    Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang*, Yulun Zhang*, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code
  19. CVPR
    LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
    Zichun Wang, Ying Fu, Ji Liu, and Yulun Zhang
    In Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code
  20. CVPR
    Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
    Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, and Dejing Dou
    In Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code
  21. CVPR
    Structured Sparsity Learning for Efficient Video Super-Resolution
    Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code
  22. CVPR
    CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
    Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code
  23. CVPR
    Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction
    Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li
    In Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code
  24. ISBI
    High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network
    Yulun Zhang, Donglai Wei, Richard Schalek, Yuelong Wu, Stephen Turney, Jeff Lichtman, Hanspeter Pfister, and Yun Fu
    In IEEE International Symposium on Biomedical Imaging (ISBI), 2023
    PDF
  25. ICLR Spotlight
    Accurate Image Restoration with Attention Retractable Transformer
    Jiale Zhang, Yulun Zhang*, Jinjin Gu, Yongbing Zhang, Linghe Kong*, and Xin Yuan
    In International Conference on Learning Representations (ICLR Spotlight), 2023
    PDF Code
  26. ICLR
    Basic Binary Convolution Unit for Binarized Image Restoration Network
    Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool
    In International Conference on Learning Representations (ICLR), 2023
    PDF Code
  27. ICLR
    Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
    Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool
    In International Conference on Learning Representations (ICLR), 2023
    PDF Code
  28. AAAI
    Spatial-Spectral Transformer for Hyperspectral Image Denoising
    Miaoyu Li, Ying Fu, and Yulun Zhang
    In The AAAI Conference on Artificial Intelligence (AAAI), 2023
    PDF Code
  29. AAAI
    Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
    Bin Sun, Yulun Zhang, Songyao Jiang, and Yun Fu
    In The AAAI Conference on Artificial Intelligence (AAAI), 2023
    PDF Code
  30. IJCV
    Pyramid attention networks for image restoration
    Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S Huang, and Humphrey Shi
    International Journal of Computer Vision (IJCV), 2023
    PDF Code
  31. TIP
    Meta-learning based degradation representation for blind super-resolution
    Bin Xia, Yapeng Tian, Yulun Zhang, Yucheng Hang, Wenming Yang, and Qingmin Liao
    IEEE Transactions on Image Processing (TIP), 2023
    PDF Code
  32. TIP
    Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation
    Chang Liu, Henghui Ding, Yulun Zhang, and Xudong Jiang
    IEEE Transactions on Image Processing (TIP), 2023
    PDF
  33. TPAMI
    Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
    Huan Wang†, Yulun Zhang†,*, Can Qin, Luc Van Gool, and Yun Fu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
    PDF Code
  34. CVPRW
    NTIRE 2023 challenge on image super-resolution (x4): Methods and results
    Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, and  others
    In Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
    PDF Code
  35. CVPRW
    NTIRE 2023 challenge on efficient super-resolution: Methods and results
    Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, and  others
    In Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
    PDF Code
  36. CVPRW
    NTIRE 2023 challenge on image denoising: Methods and results
    Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, and  others
    In Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
    PDF Code
  37. CVPRW
    NTIRE 2023 Quality Assessment of Video Enhancement Challenge
    Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, and  others
    In Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
    PDF

2022

  1. NeurIPS Spotlight
    Cross Aggregation Transformer for Image Restoration
    Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, and Xin Yuan
    In Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2022
    PDF Code
  2. NeurIPS
    Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
    Yuanhao Cai†, Jing Lin†, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In Advances in Neural Information Processing Systems (NeurIPS), 2022
    PDF Code
  3. ECCV Oral
    Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
    Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, and Zhiqiang Tao
    In European Conference on Computer Vision (ECCV Oral), 2022
    PDF Code
  4. ECCV
    Coarse-to-fine Sparse Transformer for Hyperspectral Image Reconstruction
    Yuanhao Cai†, Jing Lin†, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In European Conference on Computer Vision (ECCV), 2022
    PDF Code
  5. ECCV
    Towards Interpretable Video Super-Resolution via Alternating Optimization
    Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, and Luc Van Gool
    In European Conference on Computer Vision (ECCV), 2022
    PDF Code
  6. ECCV
    Reference-Based Image Super-Resolution with Deformable Attention Transformer
    Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang*, Wenguan Wang, and Luc Van Gool
    In European Conference on Computer Vision (ECCV), 2022
    PDF Code
  7. ECCV
    Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images
    Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, and Chun Yuan
    In European Conference on Computer Vision (ECCV), 2022
    PDF Code
  8. ACM MM
    Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity
    Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, and Junping Zhang
    In ACM International Conference on Multimedia (ACM MM), 2022
    PDF
  9. ACM MM
    Cross-Modality High-Frequency Transformer for MR Image Super-Resolution
    Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, and Junwei Han
    In ACM International Conference on Multimedia (ACM MM), 2022
    PDF
  10. ICML
    Flow-Guided Sparse Transformer for Video Deblurring
    Jing Lin†, Yuanhao Cai†, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In International Conference on Machine Learning (ICML), 2022
    PDF Code
  11. ICML
    Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
    Jing Lin†, Xiaowan Hu†, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, and Luc Van Gool
    In International Conference on Machine Learning (ICML), 2022
    PDF Code
  12. IJCAI
    MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
    Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, and Yun Fu
    In International Joint Conferences on Artificial Intelligence (IJCAI), 2022
    PDF
  13. IJCAI Survey
    Recent Advances on Neural Network Pruning at Initialization
    Huan Wang, Can Qin, Yue Bai, Yulun Zhang, and Yun Fu
    In International Joint Conferences on Artificial Intelligence (IJCAI Survey), 2022
    PDF
  14. CVPR
    Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
    Yuanhao Cai†, Jing Lin†, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2022
    PDF Code
  15. CVPR
    Hdnet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
    Xiaowan Hu†, Yuanhao Cai†, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2022
    PDF Code
  16. CVPR
    Texture-Based Error Analysis for Image Super-Resolution
    Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, and Hanspeter Pfister
    In Computer Vision and Pattern Recognition (CVPR), 2022
    PDF
  17. ICLR
    Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
    Yulun Zhang†, Huan Wang†, Can Qin, and Yun Fu
    In International Conference on Learning Representations (ICLR), 2022
    PDF
  18. TIP
    PFDN: Pyramid Feature Decoupling Network for Single Image Deraining
    Qiang Wang, Gan Sun, Jiahua Dong, and Yulun Zhang
    IEEE Transactions on Image Processing (TIP), 2022
    PDF
  19. TPAMI
    Lattice Network for Lightweight Image Restoration
    Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, and Yun Fu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
    PDF
  20. TPAMI
    Gan Inversion: A Survey
    Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
    PDF Code
  21. TPAMI
    Image-Text Embedding Learning via Visual and Textual Semantic Reasoning
    Kunpeng Li, Yulun Zhang*, Kai Li, Yuanyuan Li, and Yun Fu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
    PDF Code
  22. CVPRW
    MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
    Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
    PDF Code

2021

  1. NeurIPS Spotlight
    Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
    Yulun Zhang†, Huan Wang†, Can Qin, and Yun Fu
    In Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2021
    PDF Code
  2. NeurIPS
    Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
    Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, and Yun Fu
    In Advances in Neural Information Processing Systems (NeurIPS), 2021
    PDF Code
  3. NeurIPS
    Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
    Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, and Donglai Wei
    In Advances in Neural Information Processing Systems (NeurIPS), 2021
    PDF Code
  4. ICCV
    Context Reasoning Attention Network for Image Super-Resolution
    Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, and Yun Fu
    In International Conference on Computer Vision (ICCV), 2021
    PDF
  5. ICCV
    Dynamic High-pass Filtering and Multi-spectral Attention for Image Super-Resolution
    Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, and Hanspeter Pfister
    In International Conference on Computer Vision (ICCV), 2021
    PDF Code
  6. ICCV
    ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation
    Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, and Yun Fu
    In International Conference on Computer Vision (ICCV), 2021
    PDF Code
  7. IJCAI Oral
    Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising.
    Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, and Yulun Zhang
    In International Joint Conferences on Artificial Intelligence (IJCAI Oral), 2021
    PDF
  8. CVPR
    MR Image Super-Resolution with Squeeze and Excitation Reasoning Attention Network
    Yulun Zhang, Kai Li, Kunpeng Li, and Yun Fu
    In Computer Vision and Pattern Recognition (CVPR), 2021
    PDF
  9. CVPR
    Pseudo 3D Auto-Correlation Network for Real Image Denoising
    Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, and Haoqian Wang
    In Computer Vision and Pattern Recognition (CVPR), 2021
    PDF
  10. ICLR
    Neural Pruning via Growing Regularization
    Huan Wang, Can Qin, Yulun Zhang*, and Yun Fu
    In International Conference on Learning Representations (ICLR), 2021
    PDF Code
  11. TIP
    Accurate and Fast Image Denoising via Attention Guided Scaling
    Yulun Zhang, Kunpeng Li, Kai Li, Gan Sun, Yu Kong, and Yun Fu
    IEEE Transactions on Image Processing (TIP), 2021
    PDF
  12. TCYB
    Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization
    Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, and Yun Fu
    IEEE Transactions on Cybernetics (TCYB), 2021
    PDF
  13. TCSVT
    Wide Weighted Attention Multi-Scale Network for Accurate MR Image Super-Resolution
    Haoqian Wang, Xiaowan Hu, Xiaole Zhao, and Yulun Zhang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
    PDF

2020

  1. NeurIPS
    Neural Sparse Representation for Image Restoration
    Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, and Thomas S Huang
    In Advances in Neural Information Processing Systems (NeurIPS), 2020
    PDF Code
  2. ECCV
    Texture Hallucination for Large-Factor Painting Super-Resolution
    Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, and Yun Fu
    In European Conference on Computer Vision (ECCV), 2020
    PDF
  3. ECCV
    LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block
    Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, and Yun Fu
    In European Conference on Computer Vision (ECCV), 2020
    PDF
  4. CVPR
    Adversarial Feature Hallucination Networks for Few-Shot Learning
    Kai Li, Yulun Zhang, Kunpeng Li, and Yun Fu
    In Computer Vision and Pattern Recognition (CVPR), 2020
    PDF
  5. CVPR
    TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
    Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu
    In Computer Vision and Pattern Recognition (CVPR), 2020
    PDF Code
  6. CVPR
    Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P Allebach, and Chenliang Xu
    In Computer Vision and Pattern Recognition (CVPR), 2020
    PDF Code
  7. AAAI
    Joint Super-Resolution and Alignment of Tiny Faces
    Yu Yin, Joseph Robinson, Yulun Zhang, and Yun Fu
    In The AAAI Conference on Artificial Intelligence (AAAI), 2020
    PDF Code
  8. TPAMI
    Residual Dense Network for Image Restoration
    Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
    PDF Code
  9. TNNLS
    Vehicle and Person Re-Identification With Support Neighbor Loss
    Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, and Yun Fu
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
    PDF
  10. TIP
    Fine-Grained Spatial Alignment Model for Person Re-Identification with Focal Triplet Loss
    Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, and Rongrong Ji
    IEEE Transactions on Image Processing (TIP), 2020
    PDF
  11. TNNLS
    Continual Multi-view Task Learning via Deep Matrix Factorization
    Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, and Yun Fu
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
    PDF

2019

  1. ICCV
    Multimodal Style Transfer via Graph Cuts
    Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, and Jimei Yang
    In International Conference on Computer Vision (ICCV), 2019
    PDF Code
  2. ICCV Oral
    Visual Semantic Reasoning for Image-Text Matching
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, and Yun Fu
    In International Conference on Computer Vision (ICCV Oral), 2019
    PDF Code
  3. ICCV
    Attention Bridging Network for Knowledge Transfer
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, and Yun Fu
    In International Conference on Computer Vision (ICCV), 2019
    PDF
  4. IJCAI Oral
    LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning.
    Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, and Mengran Gou
    In International Joint Conferences on Artificial Intelligence (IJCAI Oral), 2019
    PDF
  5. ICLR
    Residual Non-local Attention Networks for Image Restoration
    Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, and Yun Fu
    In International Conference on Learning Representations (ICLR), 2019
    PDF Code
  6. TIP
    Channel Splitting Network for Single MR Image Super-Resolution
    Xiaole Zhao, Yulun Zhang, Tao Zhang, and Xueming Zou
    IEEE Transactions on Image Processing (TIP), 2019
    PDF
  7. ICCVW
    Generatively Inferential Co-training for Unsupervised Domain Adaptation
    Can Qin, Lichen Wang, Yulun Zhang, and Yun Fu
    In International Conference on Computer Vision Workshops (ICCVW), 2019
    PDF Code

2018

  1. ECCV
    Image Super-Resolution Using Very Deep Residual Channel Attention Networks
    Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, and Yun Fu
    In European conference on computer vision (ECCV), 2018
    PDF Code
  2. ACM MM
    Support Neighbor Loss for Person Re-Identification
    Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, and Yun Fu
    In ACM International Conference on Multimedia (ACM MM), 2018
    PDF Code
  3. CVPR Spotlight
    Residual Dense Network for Image Super-Resolution
    Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu
    In Computer Vision and Pattern Recognition (CVPR Spotlight), 2018
    PDF Code
  4. TIP
    Hierarchical Tracking by Reinforcement Learning-based Searching and Coarse-to-fine Verifying
    Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, and Yun Fu
    IEEE Transactions on Image Processing (TIP), 2018
    PDF
  5. TMM
    Deep Alignment Network based Multi-person Tracking with Occlusion and Motion Reasoning
    Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, and Yun Fu
    IEEE Transactions on Multimedia (TMM), 2018
    PDF

2017

  1. TSMC
    Collaborative Representation Cascade for Single-Image Super-Resolution
    Yongbing Zhang, Yulun Zhang*, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, and Qionghai Dai
    IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2017
    PDF Code

2016

  1. TMM
    CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution
    Yongbing Zhang, Yulun Zhang*, Jian Zhang, and Qionghai Dai
    IEEE Transactions on Multimedia (TMM), 2016
    PDF Code

2015

  1. VCIP
    Adaptive Local Nonparametric Regression for Fast Single Image Super-Resolution
    Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, and Qionghai Dai
    In Visual Communications and Image Processing (VCIP), 2015
    PDF Code