Publications

Equal Contribution, * Corresponding Author(s)

2023

  1. 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
  2. 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
  3. 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
  4. 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
  5. Spatial-Spectral Transformer for Hyperspectral Image Denoising
    Miaoyu Li, Ying Fu, and Yulun Zhang
    In The AAAI Conference on Artificial Intelligence (AAAI), 2023
  6. 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

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. 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
  19. 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
  20. 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
  21. 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
  22. 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

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. 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
  7. 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

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