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Yulun Zhang
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2020 – today
- 2024
- [i95]Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken:
Scalable Mechanism Design for Multi-Agent Path Finding. CoRR abs/2401.17044 (2024) - [i94]Yulun Zhang, Jiang He, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. CoRR abs/2402.01446 (2024) - [i93]Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool:
Image Fusion via Vision-Language Model. CoRR abs/2402.02235 (2024) - [i92]Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte:
See More Details: Efficient Image Super-Resolution by Experts Mining. CoRR abs/2402.03412 (2024) - 2023
- [j24]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023) - [j23]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Network for Image Restoration. Int. J. Comput. Vis. 131(12): 3207-3225 (2023) - [j22]Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Image-Text Embedding Learning via Visual and Textual Semantic Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 641-656 (2023) - [j21]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3121-3138 (2023) - [j20]Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, Yun Fu:
Lattice Network for Lightweight Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4826-4842 (2023) - [j19]Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu:
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10974-10989 (2023) - [j18]Chang Liu, Henghui Ding, Yulun Zhang, Xudong Jiang:
Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation. IEEE Trans. Image Process. 32: 3054-3065 (2023) - [j17]Bin Xia, Yapeng Tian, Yulun Zhang, Yucheng Hang, Wenming Yang, Qingmin Liao:
Meta-Learning-Based Degradation Representation for Blind Super-Resolution. IEEE Trans. Image Process. 32: 3383-3396 (2023) - [c100]Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. AAAI 2023: 1368-1376 - [c99]Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. AAAI 2023: 2375-2383 - [c98]Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Kai Zhao, Heng Cong, Hang Shi, Zhiliang Ma, Mirko Agarla, Zhiwei Huang, Hongye Liu, Ironhead Chuang, Haotian Fan, Shiqi Zhou, Yu Lai, Wenqi Wang, Haoning Wu, Chunzheng Zhu, Shiling Zhao, Hanene Brachemi Meftah, Tengfei Shi, Azadeh Mansouri:
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CVPR Workshops 2023: 1551-1569 - [c97]Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787 - [c96]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1796-1807 - [c95]Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2023: 1865-1884 - [c94]Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang:
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921 - [c93]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:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c92]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CVPR 2023: 5805-5814 - [c91]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR 2023: 5906-5916 - [c90]Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang:
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. CVPR 2023: 18156-18165 - [c89]Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li:
Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction. CVPR 2023: 22046-22055 - [c88]Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool:
Structured Sparsity Learning for Efficient Video Super-Resolution. CVPR 2023: 22638-22647 - [c87]Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. GECCO 2023: 220-229 - [c86]Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. ICCV 2023: 8048-8059 - [c85]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. ICCV 2023: 12278-12287 - [c84]Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang:
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. ICCV 2023: 12470-12479 - [c83]Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. ICCV 2023: 12513-12524 - [c82]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. ICCV 2023: 12556-12565 - [c81]Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li:
Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion. ICCV 2023: 12577-12587 - [c80]Steven Tel, Zongwei Wu, Yulun Zhang, Barthélémy Heyrman, Cédric Demonceaux, Radu Timofte, Dominique Ginhac:
Alignment-free HDR Deghosting with Semantics Consistent Transformer. ICCV 2023: 12790-12799 - [c79]Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang:
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. ICCV 2023: 12913-12922 - [c78]Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. ICCV 2023: 13049-13059 - [c77]Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li:
Consistency Regularization for Generalizable Source-free Domain Adaptation. ICCV (Workshops) 2023: 4325-4335 - [c76]Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu:
Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM 2023: 1385-1390 - [c75]Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. ICLR 2023 - [c74]Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. ICLR 2023 - [c73]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. ICLR 2023 - [c72]Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang:
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. ICML 2023: 41078-41091 - [c71]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Multi-Robot Coordination and Layout Design for Automated Warehousing. IJCAI 2023: 5503-5511 - [c70]Yulun Zhang, Donglai Wei, Richard Schalek, Yuelong Wu, Stephen G. Turney, Jeff Lichtman, Hanspeter Pfister, Yun Fu:
High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network. ISBI 2023: 1-5 - [c69]Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li:
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher. MICCAI (1) 2023: 684-694 - [c68]Hao Shen, Zhong-Qiu Zhao, Yulun Zhang, Zhao Zhang:
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing. ACM Multimedia 2023: 7-16 - [c67]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. ACM Multimedia 2023: 7363-7372 - [c66]Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang:
Binarized Spectral Compressive Imaging. NeurIPS 2023 - [c65]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. NeurIPS 2023 - [c64]Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li:
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping. NeurIPS 2023 - [c63]Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu:
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS 2023 - [c62]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Arbitrarily Scalable Environment Generators via Neural Cellular Automata. NeurIPS 2023 - [i91]Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai:
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR abs/2302.00903 (2023) - [i90]Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. CoRR abs/2303.00191 (2023) - [i89]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang:
Recursive Generalization Transformer for Image Super-Resolution. CoRR abs/2303.06373 (2023) - [i88]Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang:
Xformer: Hybrid X-Shaped Transformer for Image Denoising. CoRR abs/2303.06440 (2023) - [i87]Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang:
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. CoRR abs/2303.06705 (2023) - [i86]Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023) - [i85]Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023) - [i84]Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. CoRR abs/2303.09472 (2023) - [i83]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR abs/2303.09650 (2023) - [i82]Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang:
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. CoRR abs/2304.00534 (2023) - [i81]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CoRR abs/2304.00844 (2023) - [i80]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Multi-Robot Coordination and Layout Design for Automated Warehousing. CoRR abs/2305.06436 (2023) - [i79]Yuanhao Cai, Yuxin Zheng, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang:
Binarized Spectral Compressive Imaging. CoRR abs/2305.10299 (2023) - [i78]Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li:
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping. CoRR abs/2305.11003 (2023) - [i77]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CoRR abs/2305.11443 (2023) - [i76]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. CoRR abs/2305.12966 (2023) - [i75]Chang Liu, Henghui Ding, Yulun Zhang, Xudong Jiang:
Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation. CoRR abs/2305.15302 (2023) - [i74]Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang:
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. CoRR abs/2305.18107 (2023) - [i73]Steven Tel, Zongwei Wu, Yulun Zhang, Barthélémy Heyrman, Cédric Demonceaux, Radu Timofte, Dominique Ginhac:
Alignment-free HDR Deghosting with Semantics Consistent Transformer. CoRR abs/2305.18135 (2023) - [i72]Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao:
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. CoRR abs/2306.01176 (2023) - [i71]Chunming He, Kai Li, Guoxia Xu, Jiangpeng Yan, Longxiang Tang, Yulun Zhang, Xiu Li, Yaowei Wang:
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance. CoRR abs/2307.07829 (2023) - [i70]Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao Liu, Yu Lai, Shanshan Chen, Wenqi Wang, Haoning Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh:
NTIRE 2023 Quality Assessment of Video Enhancement Challenge. CoRR abs/2307.09729 (2023) - [i69]Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li:
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher. CoRR abs/2307.09973 (2023) - [i68]Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li:
Consistency Regularization for Generalizable Source-free Domain Adaptation. CoRR abs/2308.01587 (2023) - [i67]Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu:
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. CoRR abs/2308.03166 (2023) - [i66]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. CoRR abs/2308.03364 (2023) - [i65]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. CoRR abs/2308.03608 (2023) - [i64]Hao Shen, Zhong-Qiu Zhao, Yulun Zhang, Zhao Zhang:
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing. CoRR abs/2308.06998 (2023) - [i63]Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang:
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. CoRR abs/2308.10820 (2023) - [i62]Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation. CoRR abs/2308.13767 (2023) - [i61]Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li:
Arbitrarily Scalable Environment Generators via Neural Cellular Automata. CoRR abs/2310.18622 (2023) - [i60]Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR abs/2311.11600 (2023) - [i59]Chunming He, Chengyu Fang, Yulun Zhang, Kai Li, Longxiang Tang, Chenyu You, Fengyang Xiao, Zhenhua Guo, Xiu Li:
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model. CoRR abs/2311.11638 (2023) - [i58]Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, Xiaokang Yang:
Image Super-Resolution with Text Prompt Diffusion. CoRR abs/2311.14282 (2023) - [i57]Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang:
Binarized 3D Whole-body Human Mesh Recovery. CoRR abs/2311.14323 (2023) - [i56]Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu:
MuRF: Multi-Baseline Radiance Fields. CoRR abs/2312.04565 (2023) - [i55]Junzhe Lu, Jing Lin, Hongkun Dou, Yulun Zhang, Yue Deng, Haoqian Wang:
DPoser: Diffusion Model as Robust 3D Human Pose Prior. CoRR abs/2312.05541 (2023) - 2022
- [j16]Shipeng Fu, Zhibing Lai, Yulun Zhang, Yiguang Liu, Xiaomin Yang:
Relay knowledge distillation for efficiently boosting the performance of shallow networks. Neurocomputing 514: 512-525 (2022) - [j15]Xiaole Zhao, Yulun Zhang, Yun Qin, Qian Wang, Tao Zhang, Tianrui Li:
Single MR image super-resolution via channel splitting and serial fusion network. Knowl. Based Syst. 246: 108669 (2022) - [j14]Haoqian Wang, Xiaowan Hu, Xiaole Zhao, Yulun Zhang:
Wide Weighted Attention Multi-Scale Network for Accurate MR Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(3): 962-975 (2022) - [j13]Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu:
Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. 52(12): 12734-12744 (2022) - [j12]Qiang Wang, Gan Sun, Jiahua Dong, Yulun Zhang:
PFDN: Pyramid Feature Decoupling Network for Single Image Deraining. IEEE Trans. Image Process. 31: 7091-7101 (2022) - [j11]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 826-838 (2022) - [c61]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754 - [c60]Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c59]Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister:
Texture-based Error Analysis for Image Super-Resolution. CVPR 2022: 2108-2117 - [c58]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490 - [c57]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530 - [c56]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. ECCV (19) 2022: 112-129 - [c55]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342 - [c54]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411 - [c53]Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan:
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV (19) 2022: 583-598 - [c52]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704 - [c51]Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. GECCO 2022: 158-167 - [c50]Hongbo Liu, Kai Li, Xiu Li, Yulun Zhang:
Unsupervised Anomaly Detection with Self-Training and Knowledge Distillation. ICIP 2022: 2102-2106 - [c49]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR 2022 - [c48]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. ICML 2022: 13334-13343 - [c47]Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. ICML 2022: 13394-13404 - [c46]Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu:
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. IJCAI 2022: 3636-3642 - [c45]Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu:
Recent Advances on Neural Network Pruning at Initialization. IJCAI 2022: 5638-5645 - [c44]K. R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan Julian, Gaurav S. Sukhatme:
Efficient Multi-Task Learning via Iterated Single-Task Transfer. IROS 2022: 10141-10146 - [c43]Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han:
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. ACM Multimedia 2022: 1584-1592 - [c42]Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity. ACM Multimedia 2022: 2173-2181 - [c41]Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. NeurIPS 2022 - [c40]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. NeurIPS 2022 - [i54]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022) - [i53]Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022) - [i52]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022) - [i51]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022) - [i50]Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution. CoRR abs/2203.08921 (2022) - [i49]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022) - [i48]Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han:
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. CoRR abs/2203.15314 (2022) - [i47]Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei:
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training. CoRR abs/2204.02844 (2022) - [i46]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022) - [i45]Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022) - [i44]Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. CoRR abs/2205.10195 (2022) - [i43]Bin Xia, Jingwen He, Yulun Zhang, Yucheng Hang, Wenming Yang, Luc Van Gool:
Residual Sparsity Connection Learning for Efficient Video Super-Resolution. CoRR abs/2206.07687 (2022) - [i42]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR abs/2207.10765 (2022) - [i41]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR abs/2207.11938 (2022) - [i40]Bin Xia, Yapeng Tian, Yulun Zhang, Yucheng Hang, Wenming Yang, Qingmin Liao:
Meta-Learning based Degradation Representation for Blind Super-Resolution. CoRR abs/2207.13963 (2022) - [i39]Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. CoRR abs/2208.11803 (2022) - [i38]Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao:
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. CoRR abs/2209.12075 (2022) - [i37]Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. CoRR abs/2210.00405 (2022) - [i36]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. CoRR abs/2210.01427 (2022) - [i35]Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan:
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. CoRR abs/2210.04198 (2022) - [i34]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. CoRR abs/2211.13654 (2022) - [i33]Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. CoRR abs/2211.14090 (2022) - [i32]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022) - [i31]Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. CoRR abs/2211.16928 (2022) - [i30]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022) - 2021
- [j10]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2480-2495 (2021) - [j9]Yulun Zhang, Ruby T. Nguyen, Bor Yann Liaw:
Status and Gap in Rechargeable Lithium Battery Supply Chain: Importance of Quantitative Failure Analysis. Proc. IEEE 109(6): 1029-1038 (2021) - [j8]Yulun Zhang, Kunpeng Li, Kai Li, Gan Sun, Yu Kong, Yun Fu:
Accurate and Fast Image Denoising via Attention Guided Scaling. IEEE Trans. Image Process. 30: 6255-6265 (2021) - [j7]Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu:
Continual Multiview Task Learning via Deep Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 139-150 (2021) - [c39]Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu:
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network. CVPR 2021: 13425-13434 - [c38]Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, Haoqian Wang:
Pseudo 3D Auto-Correlation Network for Real Image Denoising. CVPR 2021: 16175-16184 - [c37]Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu:
Context Reasoning Attention Network for Image Super-Resolution. ICCV 2021: 4258-4267 - [c36]Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister:
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. ICCV 2021: 4268-4277 - [c35]Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. ICCV 2021: 8558-8567 - [c34]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. ICLR 2021 - [c33]Xiaowan Hu, Haoqian Wang, Yuanhao Cai, Xiaole Zhao, Yulun Zhang:
Pyramid Orthogonal Attention Network based on Dual Self-Similarity for Accurate Mr Image Super-Resolution. ICME 2021: 1-6 - [c32]Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Mataric:
Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. ICMI 2021: 567-576 - [c31]Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang:
Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising. IJCAI 2021: 729-735 - [c30]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS 2021: 2695-2706 - [c29]Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei:
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training. NeurIPS 2021: 3259-3270 - [c28]Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu:
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS 2021: 14110-14121 - [c27]Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis:
On the Importance of Environments in Human-Robot Coordination. Robotics: Science and Systems 2021 - [i29]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. CoRR abs/2101.05278 (2021) - [i28]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Emerging Paradigms of Neural Network Pruning. CoRR abs/2103.06460 (2021) - [i27]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution. CoRR abs/2104.07473 (2021) - [i26]Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning. CoRR abs/2104.09136 (2021) - [i25]Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis:
On the Importance of Environments in Human-Robot Coordination. CoRR abs/2106.10853 (2021) - [i24]Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu:
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR abs/2106.11514 (2021) - [i23]K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme:
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. CoRR abs/2106.13237 (2021) - [i22]Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao:
A New Backbone for Hyperspectral Image Reconstruction. CoRR abs/2108.07739 (2021) - [i21]Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Mataric:
Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. CoRR abs/2108.10456 (2021) - [i20]K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme:
A Simple Approach to Continual Learning by Transferring Skill Parameters. CoRR abs/2110.10255 (2021) - [i19]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CoRR abs/2111.07910 (2021) - [i18]Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. CoRR abs/2112.03534 (2021) - [i17]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. CoRR abs/2112.15362 (2021) - 2020
- [j6]Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, Rongrong Ji:
Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss. IEEE Trans. Image Process. 29: 7578-7589 (2020) - [c26]Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu:
Joint Super-Resolution and Alignment of Tiny Faces. AAAI 2020: 12693-12700 - [c25]Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. CVPR 2020: 3357-3366 - [c24]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. CVPR 2020: 3367-3376 - [c23]Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu:
Adversarial Feature Hallucination Networks for Few-Shot Learning. CVPR 2020: 13467-13476 - [c22]Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu:
Texture Hallucination for Large-Factor Painting Super-Resolution. ECCV (7) 2020: 209-225 - [c21]Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu:
LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block. ECCV (22) 2020: 272-289 - [c20]Matthew Rueben, Thomas R. Groechel, Yulun Zhang, Maja J. Mataric, Gisele Ragusa:
Increasing Telepresence Robot Operator Awareness of Speaking Volume Appropriateness: Initial Model Development. HRI (Companion) 2020: 421-423 - [c19]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. NeurIPS 2020 - [i16]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. CoRR abs/2002.11616 (2020) - [i15]Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu:
Adversarial Feature Hallucination Networks for Few-Shot Learning. CoRR abs/2003.13193 (2020) - [i14]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. CoRR abs/2004.13824 (2020) - [i13]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. CoRR abs/2006.04357 (2020) - [i12]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. CoRR abs/2012.09243 (2020)
2010 – 2019
- 2019
- [j5]Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu:
Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying. IEEE Trans. Image Process. 28(5): 2331-2341 (2019) - [j4]Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou:
Channel Splitting Network for Single MR Image Super-Resolution. IEEE Trans. Image Process. 28(11): 5649-5662 (2019) - [j3]Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, Yun Fu:
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning. IEEE Trans. Multim. 21(5): 1183-1194 (2019) - [j2]Yongbing Zhang, Yulun Zhang, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai:
Collaborative Representation Cascade for Single-Image Super-Resolution. IEEE Trans. Syst. Man Cybern. Syst. 49(5): 845-860 (2019) - [c18]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:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c17]Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Visual Semantic Reasoning for Image-Text Matching. ICCV 2019: 4653-4661 - [c16]Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Attention Bridging Network for Knowledge Transfer. ICCV 2019: 5197-5206 - [c15]Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang:
Multimodal Style Transfer via Graph Cuts. ICCV 2019: 5942-5950 - [c14]Can Qin, Lichen Wang, Yulun Zhang, Yun Fu:
Generatively Inferential Co-Training for Unsupervised Domain Adaptation. ICCV Workshops 2019: 1055-1064 - [c13]Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu:
Residual Non-local Attention Networks for Image Restoration. ICLR (Poster) 2019 - [c12]Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou:
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning. IJCAI 2019: 1041-1047 - [i11]Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu:
Residual Non-local Attention Networks for Image Restoration. CoRR abs/1903.10082 (2019) - [i10]Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang:
Multimodal Style Transfer via Graph Cuts. CoRR abs/1904.04443 (2019) - [i9]Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Visual Semantic Reasoning for Image-Text Matching. CoRR abs/1909.02701 (2019) - [i8]Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu:
Joint Super-Resolution and Alignment of Tiny Faces. CoRR abs/1911.08566 (2019) - [i7]Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu:
Texture Hallucination for Large-Scale Painting Super-Resolution. CoRR abs/1912.00515 (2019) - 2018
- [c11]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CVPR 2018: 2472-2481 - [c10]Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu:
Image Super-Resolution Using Very Deep Residual Channel Attention Networks. ECCV (7) 2018: 294-310 - [c9]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Support Neighbor Loss for Person Re-Identification. ACM Multimedia 2018: 1492-1500 - [i6]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CoRR abs/1802.08797 (2018) - [i5]Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu:
Image Super-Resolution Using Very Deep Residual Channel Attention Networks. CoRR abs/1807.02758 (2018) - [i4]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Support Neighbor Loss for Person Re-Identification. CoRR abs/1808.06030 (2018) - [i3]Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou:
Channel Splitting Network for Single MR Image Super-Resolution. CoRR abs/1810.06453 (2018) - [i2]Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution. CoRR abs/1812.02898 (2018) - [i1]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. CoRR abs/1812.10477 (2018) - 2017
- [c8]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c7]Wangpeng An, Haoqian Wang, Yulun Zhang, Qionghai Dai:
Exponential decay sine wave learning rate for fast deep neural network training. VCIP 2017: 1-4 - 2016
- [j1]Yongbing Zhang, Yulun Zhang, Jian Zhang, Qionghai Dai:
CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution. IEEE Trans. Multim. 18(3): 405-417 (2016) - [c6]Yihui Feng, Yongbing Zhang, Yulun Zhang, Tao Shen, Qionghai Dai:
Single image super-resolution via projective dictionary learning with anchored neighborhood regression. VCIP 2016: 1-4 - [c5]Tao Shen, Yulun Zhang, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai:
Decompressed video enhancement via accurate regression prior. VCIP 2016: 1-4 - 2015
- [c4]Yulun Zhang, Kaiyu Gu, Yongbing Zhang, Jian Zhang, Qionghai Dai:
Image super-resolution based on dictionary learning and anchored neighborhood regression with mutual incoherence. ICIP 2015: 591-595 - [c3]Yulun Zhang, Yongbing Zhang, Qionghai Dai:
Single depth image super resolution via a dual sparsity model. ICME Workshops 2015: 1-6 - [c2]Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Qionghai Dai:
Single Image Super-Resolution via Iterative Collaborative Representation. PCM (2) 2015: 63-73 - [c1]Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai:
Adaptive local nonparametric regression for fast single image super-resolution. VCIP 2015: 1-4
Coauthor Index
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