Publications

Equal Contribution, * Corresponding Author(s)

2024

  1. Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
    Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang*, Xiaokang Yang, Zongwei Zhou*, and Alan Yuille
    arXiv preprint arXiv:2402.03412 (arXiv), 2024
  2. See More Details: Efficient Image Super-Resolution by Experts Mining
    Eduard Zamfir, Zongwei Wu*, Nancy Mehta, Yulun Zhang*, and Radu Timofte
    In International Conference on Machine Learning (ICML), 2024
  3. Equivariant Multi-Modality Image Fusion
    Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang*, Kai Zhang, Shuang Xu, Dongdong Chen*, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2024
  4. Deep Equilibrium Diffusion Restoration with Parallel Sampling
    Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2024
  5. Binarized Low-light Raw Video Enhancement
    Gengchen Zhang, Yulun Zhang, Xin Yuan, and Ying Fu
    In Computer Vision and Pattern Recognition (CVPR), 2024
  6. MuRF: Multi-Baseline Radiance Fields
    Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, and Fisher Yu
    In Computer Vision and Pattern Recognition (CVPR), 2024
  7. Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
    Yijun Yang, Hongtao Wu, Angelica I Aviles-Rivero, Yulun Zhang, Jing Qin, and Lei Zhu
    In Computer Vision and Pattern Recognition (CVPR), 2024
  8. Recursive Generalization Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Linghe Kong*, and Xiaokang Yang
    In International Conference on Learning Representations (ICLR), 2024
  9. Xformer: Hybrid X-Shaped Transformer for Image Denoising
    Jiale Zhang, Yulun Zhang*, Jinjin Gu, Jiahua Dong, Linghe Kong*, and Xiaokang Yang
    In International Conference on Learning Representations (ICLR), 2024
  10. Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects
    Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, and Fisher Yu
    In International Conference on Learning Representations (ICLR), 2024
  11. LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
    Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, and Xiaokang Yang
    In The AAAI Conference on Artificial Intelligence (AAAI), 2024
  12. CVPRW
    NTIRE 2024 challenge on image super-resolution (x4): Methods and results
    Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang*, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, and  others
    In Computer Vision and Pattern Recognition Workshops (CVPRW), 2024

2023

  1. DPoser: Diffusion Model as Robust 3D Human Pose Prior
    Junzhe Lu, Jing Lin, Hongkun Dou, Yulun Zhang*, Yue Deng, and Haoqian Wang*
    arXiv preprint arXiv:2312.05541 (arXiv), 2023
  2. Image Super-Resolution with Text Prompt Diffusion
    Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, and Xiaokang Yang
    arXiv preprint arXiv:2311.14282 (arXiv), 2023
  3. Binarized 3D Whole-body Human Mesh Recovery
    Zhingteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, and Xiaokang Yang
    arXiv preprint arXiv:2311.14323 (arXiv), 2023
  4. Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
    Chunming He, Chengyu Fang, Yulun Zhang, Kai Li, Longxiang Tang, Chenyu You, Fengyang Xiao, Zhenhua Guo, and Xiu Li
    arXiv preprint arXiv:2311.11638 (arXiv), 2023
  5. Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
    Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, and Zhiqiang Tao
    arXiv preprint arXiv:2306.01176 (arXiv), 2023
  6. DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
    Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool
    arXiv preprint arXiv:2308.13767 (arXiv), 2023
  7. QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
    Haotong Qin, Yulun Zhang†,*, Yifu Ding, Yifan Liu, Xianglong Liu*, Martin Danelljan, and Fisher Yu
    In Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023
  8. 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
  9. 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
  10. Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
    Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
  11. ICDM
    Momentum is All You Need for Data-Driven Adaptive Optimization
    Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, and Yun Fu
    In International Conference on Data Mining (ICDM), 2023
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. Spatial-Spectral Transformer for Hyperspectral Image Denoising
    Miaoyu Li, Ying Fu, and Yulun Zhang
    In The AAAI Conference on Artificial Intelligence (AAAI), 2023
  36. 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
  37. No One Left Behind: Real-World Federated Class-Incremental Learning
    Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, and Luc Van Gool
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  38. HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
    Chunming He, Kai Li, Guoxia Xu, Jiangpeng Yan, Longxiang Tang, Yulun Zhang, Yaowei Wang, and Xiu Li
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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

2022

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  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

2021

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. Neural Pruning via Growing Regularization
    Huan Wang, Can Qin, Yulun Zhang*, and Yun Fu
    In International Conference on Learning Representations (ICLR), 2021
  11. 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
  12. 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
  13. 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

2020

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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

2019

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  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

2018

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

2017

  1. 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

2016

  1. 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

2015

  1. 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