Yulun Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
136
Venues
18
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
136 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Audio-Assisted Face Video Restoration with Temporal and Identity Complementary Learning. | Yuqin Cao, Yixuan Gao, Wei Sun, Xiaohong Liu, Yulun Zhang, Xiongkuo Min |
| 2026 | AAAI | QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution. | Bowen Chai, Zheng Chen, Libo Zhu, Wenbo Li, Yong Guo, Yulun Zhang |
| 2026 | AAAI | Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression. | Zheng Chen, Mingde Zhou, Jinpei Guo, Jiale Yuan, Yifei Ji, Yulun Zhang |
| 2026 | AAAI | SODiff：Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal. | Tingyu Yang, Jue Gong, Jinpei Guo, Wenbo Li, Yong Guo, Yulun Zhang |
| 2025 | AAAI | Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging. | Mengjie Qin, Yuchao Feng, Zongliang Wu, Yulun Zhang, Xin Yuan |
| 2025 | AAAI | Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing. | Xiongfei Su, Siyuan Li, Yuning Cui, Miao Cao, Yulun Zhang, Zheng Chen, Zongliang Wu, Zedong Wang, Yuanlong Zhang, Xin Yuan |
| 2025 | AAAI | Dual-branch Graph Feature Learning for NLOS Imaging. | Xiongfei Su, Tianyi Zhu, Lina Liu, Zheng Chen, Yulun Zhang, Siyuan Li, Juntian Ye, Feihu Xu, Xin Yuan |
| 2025 | AAAI | Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. | Hongzhi Zang, Yulun Zhang, He Jiang, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li |
| 2025 | AAAI | Low-Light Image Enhancement via Generative Perceptual Priors. | Han Zhou, Wei Dong, Xiaohong Liu, Yulun Zhang, Guangtao Zhai, Jun Chen |
| 2025 | ACL | SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment. | Wenqiao Zhu, Ji Liu, Lulu Wang, Jun Wu, Yulun Zhang |
| 2025 | CVPR | OSDFace: One-Step Diffusion Model for Face Restoration. | Jingkai Wang, Jue Gong, Lin Zhang, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu, Yulun Zhang, Xiaokang Yang |
| 2025 | CVPR | NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. | Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He |
| 2025 | CVPR | NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. | Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Li, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G. Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor P. Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V. Hiremath, Palani Yashaswini, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Zahra Moammeri, Ahmad Mahmoudi-Aznaveh, Ali Karbasi, Hossein Motamednia, Liangyan Li, Guanhua Zhao, Kevin Le, Yimo Ning, Haoxuan Huang, Jun Chen |
| 2025 | CVPR | MambaIRv2: Attentive State Space Restoration. | Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li |
| 2025 | CVPR | NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results. | Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu, Hailong Yan, Bin Ren, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan, Han Zhou, Wei Dong, Yan Min, Mohab Kishawy, Jun Chen, Pengpeng Yu, Anjin Park, Seung-Soo Lee, Young-Joon Park, Zixiao Hu, Junyv Liu, Huilin Zhang, Jun Zhang, Fei Wan, Bingxin Xu, Hongzhe Liu, Cheng Xu, Weiguo Pan, Songyin Dai, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Jiayi Ma, Changhui Hu, Kerui Hu, Donghang Jing, Tiesheng Chen, Zhi Jin, Hongjun Wu, Biao Huang, Haitao Ling, Jiahao Wu, Dandan Zhan, G. Gyaneshwar Rao, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai, Qirui Yang, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Daniel Feijoo, Juan C. Benito, lvaro Garca, Marcos V. Conde, Yang Qin, Raul Balmez, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Tianyi Mao, Huan Zheng, Yanyan Wei, Shengeng Tang, Dan Guo, Zhao Zhang, Sabari Nathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, Ao Li, Xiangtao Zhang, Zhe Liu, Yijie Tang, Jialong Tang, Zhicheng Fu, Gong Chen, Joe Nasti, John Nicholson, Zeyu Xiao, Zhuoyuan Li, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Duan Liu, Weile Li, Hangyuan Lu, Rixian Liu, Tengfeng Wang, Jinxing Liang, Chenxin Yu |
| 2025 | CVPR | Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging. | Ping Wang, Lishun Wang, Gang Qu, Xiaodong Wang, Yulun Zhang, Xin Yuan |
| 2025 | CVPR | DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables. | Sidi Yang, Binxiao Huang, Yulun Zhang, Dahai Yu, Yujiu Yang, Ngai Wong |
| 2025 | CVPR | Complexity Experts are Task-Discriminative Learners for Any Image Restoration. | Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yuedong Tan, Danda Pani Paudel, Yulun Zhang, Radu Timofte |
| 2025 | CVPR | PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution. | Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang |
| 2025 | EMNLP | CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning. | Wenqiao Zhu, Ji Liu, Rongjunchen Zhang, Haipang Wu, Yulun Zhang |
| 2025 | ICCV | Baking Gaussian Splatting Into Diffusion Denoiser for Fast and Scalable Single-Stage Image-to-3D Generation and Reconstruction. | Yuanhao Cai, He Zhang, Kai Zhang, Yixun Liang, Mengwei Ren, Fujun Luan, Qing Liu, Soo Ye Kim, Jianming Zhang, Zhifei Zhang, Yuqian Zhou, Yulun Zhang, Xiaokang Yang, Zhe Lin, Alan L. Yuille |
| 2025 | ICCV | Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal. | Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, Yulun Zhang |
| 2025 | ICCV | DPoser-X: Diffusion Model as Robust 3D Whole-Body Human Pose Prior. | Junzhe Lu, Jing Lin, Hongkun Dou, Ailing Zeng, Yue Deng, Xian Liu, Zhongang Cai, Lei Yang, Yulun Zhang, Haoqian Wang, Ziwei Liu |
| 2025 | ICCV | Low-Light Image Enhancement Using Event-Based Illumination Estimation. | Lei Sun, Yuhan Bao, Jiajun Zhai, Jingyun Liang, Yulun Zhang, Kaiwei Wang, Danda Pani Paudel, Luc Van Gool |
| 2025 | ICCV | QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation. | Junyi Wu, Zhiteng Li, Zheng Hui, Yulun Zhang, Linghe Kong, Xiaokang Yang |
| 2025 | ICLR | Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. | Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen |
| 2025 | ICLR | Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model. | Chunming He, Chengyu Fang, Yulun Zhang, Longxiang Tang, Jinfa Huang, Kai Li, Zhenhua Guo, Xiu Li, Sina Farsiu |
| 2025 | ICLR | GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data. | Zhiteng Li, Lele Chen, Jerone T. A. Andrews, Yunhao Ba, Yulun Zhang, Alice Xiang |
| 2025 | ICLR | ARB-LLM: Alternating Refined Binarizations for Large Language Models. | Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang |
| 2025 | ICLR | Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model. | Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng |
| 2025 | ICML | BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution. | Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang |
| 2025 | ICML | Human Body Restoration with One-Step Diffusion Model and A New Benchmark. | Jue Gong, Jingkai Wang, Zheng Chen, Xin Liu, Hong Gu, Yulun Zhang, Xiaokang Yang |
| 2025 | ICML | RUN: Reversible Unfolding Network for Concealed Object Segmentation. | Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu |
| 2025 | ICML | One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. | Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang |
| 2024 | AAAI | LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation. | Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, Xiaokang Yang |
| 2024 | CVPR | Deep Equilibrium Diffusion Restoration with Parallel Sampling. | Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2024 | CVPR | NTIRE 2024 Challenge on Image Super-Resolution (4): Methods and Results. | Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel |
| 2024 | CVPR | NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. | Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, lvaro Garca, Jaeho Lee, Seongwan Kim, S. M. A. Sharif, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng |
| 2024 | CVPR | MuRF: Multi-Baseline Radiance Fields. | Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu |
| 2024 | CVPR | Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. | Yijun Yang, Hongtao Wu, Angelica I. Avils-Rivero, Yulun Zhang, Jing Qin, Lei Zhu |
| 2024 | CVPR | Binarized Low-Light Raw Video Enhancement. | Gengchen Zhang, Yulun Zhang, Xin Yuan, Ying Fu |
| 2024 | CVPR | Equivariant Multi-Modality Image Fusion. | Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool |
| 2024 | ECCV | Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis. | Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan L. Yuille |
| 2024 | ECCV | Hierarchical Separable Video Transformer for Snapshot Compressive Imaging. | Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan |
| 2024 | ECCV | SRPose: Two-View Relative Pose Estimation with Sparse Keypoints. | Rui Yin, Yulun Zhang, Zherong Pan, Jianjun Zhu, Cheng Wang, Biao Jia |
| 2024 | ECCV | HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution. | Xiang Zhang, Yulun Zhang, Fisher Yu |
| 2024 | ICLR | Recursive Generalization Transformer for Image Super-Resolution. | Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang |
| 2024 | ICLR | Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. | Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu |
| 2024 | ICLR | Xformer: Hybrid X-Shaped Transformer for Image Denoising. | Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang |
| 2024 | ICML | See More Details: Efficient Image Super-Resolution by Experts Mining. | Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte |
| 2024 | ICML | Lightweight Image Super-Resolution via Flexible Meta Pruning. | Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu |
| 2024 | ICML | Flexible Residual Binarization for Image Super-Resolution. | Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu |
| 2024 | ICML | Image Fusion via Vision-Language Model. | Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool |
| 2024 | IJCAI | Scalable Mechanism Design for Multi-Agent Path Finding. | Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken |
| 2024 | IJCAI | Guidance Graph Optimization for Lifelong Multi-Agent Path Finding. | Yulun Zhang, He Jiang, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2024 | SoCS | Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities. | Jiang He, Yulun Zhang, Rishi Veerapaneni, Jiaoyang Li |
| 2024 | SoCS | A Quality Diversity Approach to Automatically Generate Multi-Agent Path Finding Benchmark Maps (Extended Abstract). | Cheng Qian, Yulun Zhang, Jiaoyang Li |
| 2024 | SoCS | Multi-Robot Coordination and Layout Design for Automated Warehousing (Extended Abstract). | Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2024 | SoCS | Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract). | Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2023 | AAAI | Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. | Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu |
| 2023 | AAAI | Spatial-Spectral Transformer for Hyperspectral Image Denoising. | Miaoyu Li, Ying Fu, Yulun Zhang |
| 2023 | 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, Luc Van Gool |
| 2023 | CVPR | Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction. | Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li |
| 2023 | CVPR | Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. | Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou |
| 2023 | CVPR | 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, 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 |
| 2023 | CVPR | LSDIR: A Large Scale Dataset for Image Restoration. | 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 |
| 2023 | CVPR | 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, 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 |
| 2023 | CVPR | 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, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang |
| 2023 | CVPR | LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. | Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang |
| 2023 | CVPR | Structured Sparsity Learning for Efficient Video Super-Resolution. | Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool |
| 2023 | CVPR | NTIRE 2023 Challenge on Image Super-Resolution (4): Methods and Results. | 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 |
| 2023 | 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, Luc Van Gool |
| 2023 | GECCO | pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. | Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis |
| 2023 | ICCV | Dual Aggregation Transformer for Image Super-Resolution. | Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu |
| 2023 | ICCV | Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. | Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang |
| 2023 | ICCV | Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion. | Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li |
| 2023 | ICCV | Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. | Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang |
| 2023 | ICCV | Alignment-free HDR Deghosting with Semantics Consistent Transformer. | Steven Tel, Zongwei Wu, Yulun Zhang, Barthlmy Heyrman, Cdric Demonceaux, Radu Timofte, Dominique Ginhac |
| 2023 | ICCV | Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. | Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao |
| 2023 | ICCV | DiffIR: Efficient Diffusion Model for Image Restoration. | Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool |
| 2023 | 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, Luc Van Gool |
| 2023 | ICCV | 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, Luc Van Gool |
| 2023 | ICDM | Momentum is All You Need for Data-Driven Adaptive Optimization. | Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu |
| 2023 | ICLR | Basic Binary Convolution Unit for Binarized Image Restoration Network. | Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool |
| 2023 | ICLR | Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. | Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool |
| 2023 | ICLR | Accurate Image Restoration with Attention Retractable Transformer. | Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan |
| 2023 | ICML | Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. | Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang |
| 2023 | IJCAI | Multi-Robot Coordination and Layout Design for Automated Warehousing. | Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li |
| 2023 | MICCAI | Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher. | Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li |
| 2022 | CVPR | NTIRE 2022 Spectral Recovery Challenge and Data Set. | 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 |
| 2022 | 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, Luc Van Gool |
| 2022 | CVPR | MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. | Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool |
| 2022 | 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, Luc Van Gool |
| 2022 | CVPR | Texture-based Error Analysis for Image Super-Resolution. | Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister |
| 2022 | ECCV | Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. | Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | ECCV | Reference-Based Image Super-Resolution with Deformable Attention Transformer. | Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool |
| 2022 | ECCV | Towards Interpretable Video Super-Resolution via Alternating Optimization. | Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool |
| 2022 | 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, Chun Yuan |
| 2022 | ECCV | Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. | Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao |
| 2022 | GECCO | Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. | Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis |
| 2022 | ICIP | Unsupervised Anomaly Detection with Self-Training and Knowledge Distillation. | Hongbo Liu, Kai Li, Xiu Li, Yulun Zhang |
| 2022 | ICLR | Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. | Yulun Zhang, Huan Wang, Can Qin, Yun Fu |
| 2022 | 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, Luc Van Gool |
| 2022 | 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, Luc Van Gool |
| 2022 | IJCAI | MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. | Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2022 | IJCAI | Recent Advances on Neural Network Pruning at Initialization. | Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu |
| 2022 | IROS | Efficient Multi-Task Learning via Iterated Single-Task Transfer. | K. R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan Julian, Gaurav S. Sukhatme |
| 2021 | CVPR | Pseudo 3D Auto-Correlation Network for Real Image Denoising. | Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, Haoqian Wang |
| 2021 | CVPR | MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network. | Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu |
| 2021 | ICCV | ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. | Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu |
| 2021 | 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, Hanspeter Pfister |
| 2021 | ICCV | Context Reasoning Attention Network for Image Super-Resolution. | Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu |
| 2021 | ICLR | Neural Pruning via Growing Regularization. | Huan Wang, Can Qin, Yulun Zhang, Yun Fu |
| 2021 | ICMI | Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. | Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Mataric |
| 2021 | IJCAI | Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising. | Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang |
| 2020 | AAAI | Joint Super-Resolution and Alignment of Tiny Faces. | Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu |
| 2020 | CVPR | Adversarial Feature Hallucination Networks for Few-Shot Learning. | Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu |
| 2020 | CVPR | TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. | Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu |
| 2020 | 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, Chenliang Xu |
| 2020 | ECCV | LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block. | Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu |
| 2020 | ECCV | Texture Hallucination for Large-Factor Painting Super-Resolution. | Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu |
| 2020 | HRI | Increasing Telepresence Robot Operator Awareness of Speaking Volume Appropriateness: Initial Model Development. | Matthew Rueben, Thomas R. Groechel, Yulun Zhang, Maja J. Mataric, Gisele Ragusa |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. | Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo |
| 2019 | ICCV | Visual Semantic Reasoning for Image-Text Matching. | Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu |
| 2019 | ICCV | Attention Bridging Network for Knowledge Transfer. | Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu |
| 2019 | ICCV | Multimodal Style Transfer via Graph Cuts. | Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang |
| 2019 | ICLR | Residual Non-local Attention Networks for Image Restoration. | Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu |
| 2019 | IJCAI | LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning. | Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou |
| 2018 | CVPR | Residual Dense Network for Image Super-Resolution. | Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu |
| 2018 | ECCV | Image Super-Resolution Using Very Deep Residual Channel Attention Networks. | Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu |
| 2017 | CVPR | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. | 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, Jaejun 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, Cristvo 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 |
| 2017 | VCIP | Exponential decay sine wave learning rate for fast deep neural network training. | Wangpeng An, Haoqian Wang, Yulun Zhang, Qionghai Dai |
| 2016 | VCIP | Single image super-resolution via projective dictionary learning with anchored neighborhood regression. | Yihui Feng, Yongbing Zhang, Yulun Zhang, Tao Shen, Qionghai Dai |
| 2016 | VCIP | Decompressed video enhancement via accurate regression prior. | Tao Shen, Yulun Zhang, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai |
| 2015 | ICIP | Image super-resolution based on dictionary learning and anchored neighborhood regression with mutual incoherence. | Yulun Zhang, Kaiyu Gu, Yongbing Zhang, Jian Zhang, Qionghai Dai |
| 2015 | VCIP | Adaptive local nonparametric regression for fast single image super-resolution. | Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai |