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AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Nov 10, 2020
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou

* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising

Oct 23, 2020
Yali Peng, Yue Cao, Shigang Liu, Jian Yang, Wangmeng Zuo

* 13 pages, 7 figures code: https://github.com/happycaoyue/PT-MWRN 

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Discriminative Segmentation Tracking Using Dual Memory Banks

Sep 29, 2020
Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo

* 12 pages 

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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Sep 25, 2020
Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Haoyu Zhong, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir

* European Conference on Computer Vision Workshops, 2020 

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Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

Sep 09, 2020
Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo

* ECCV 2020. Code is available at: https://github.com/csyxwei/FFWM 

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Plug-and-Play Image Restoration with Deep Denoiser Prior

Aug 31, 2020
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte

* An extended version of IRCNN (CVPR17). Project page: https://github.com/cszn/DPIR 

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Unpaired Learning of Deep Image Denoising

Aug 31, 2020
Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo

* 20 pages, 6 figures, ECCV 

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Component Divide-and-Conquer for Real-World Image Super-Resolution

Aug 05, 2020
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin

* European Conference on Computer Vision (ECCV), 2020 

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Blind Face Restoration via Deep Multi-scale Component Dictionaries

Aug 02, 2020
Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang

* In ECCV 2020. Code is available at: https://github.com/csxmli2016/DFDNet 

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Lightweight Image Super-Resolution with Enhanced CNN

Jul 11, 2020
Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin


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Designing and Training of A Dual CNN for Image Denoising

Jul 08, 2020
Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang


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Cross-Scale Internal Graph Neural Network for Image Super-Resolution

Jun 30, 2020
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Chen Change Loy


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Flexible Image Denoising with Multi-layer Conditional Feature Modulation

Jun 24, 2020
Jiazhi Du, Xin Qiao, Zifei Yan, Hongzhi Zhang, Wangmeng Zuo


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Learning Context-Based Non-local Entropy Modeling for Image Compression

May 10, 2020
Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang


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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

May 08, 2020
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Możejko, Tomasz Latkowski, Lukasz Treszczotko, Michał Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar


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Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

May 08, 2020
Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo

* All the source code and trained models are available at https://github.com/Zzh-tju/CIoU arXiv admin note: text overlap with arXiv:1911.08287 

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Deep Adaptive Inference Networks for Single Image Super-Resolution

Apr 08, 2020
Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo, Lei Zhang

* Code can be found at https://github.com/csmliu/AdaDSR 

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What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective

Mar 25, 2020
Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu

* Accepted to CVPR 2020; Project Page: https://github.com/ZhangLi-CS/GCP_Optimization 

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Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content

Mar 12, 2020
Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo

* CVPR 2020 

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Deep Learning on Image Denoising: An overview

Jan 16, 2020
Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin


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ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Oct 08, 2019
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu

* Project Page: https://github.com/BangguWu/ECANet 

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Perspective-Guided Convolution Networks for Crowd Counting

Sep 16, 2019
Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding

* ICCV 2019 
* Accepted by ICCV 2019 

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Image Inpainting with Learnable Bidirectional Attention Maps

Sep 05, 2019
Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding

* 18 pages, 16 figures, 2 tables, main paper + supplementary material (Accepted at ICCV, 2019) 

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Deep Concept-wise Temporal Convolutional Networks for Action Localization

Aug 26, 2019
Xin Li, Tianwei Lin, Xiao Liu, Chuang Gan, Wangmeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen


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