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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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AIM 2020: Scene Relighting and Illumination Estimation Challenge

Sep 27, 2020
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P S, Melvin Kuriakose, Jiji C V, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

* ECCVW 2020. Data and more information on https://github.com/majedelhelou/VIDIT 

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Sep 15, 2020
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P S, Densen Puthussery, Jiji C V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni


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GINet: Graph Interaction Network for Scene Parsing

Sep 14, 2020
Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo

* Accepted by ECCV 2020 

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SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

Aug 21, 2019
Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yu Zhu

* technological report and fix some errors 

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Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

Jun 24, 2019
Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

* 9 pages, 6 figures, submitted to CIKM 2019 Applied Research Track 

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Exact-K Recommendation via Maximal Clique Optimization

May 17, 2019
Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu

* SIGKDD 2019 

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Towards 3D Human Shape Recovery Under Clothing

Apr 09, 2019
Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu

* 10 pages, 8 figures 

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A Brand-level Ranking System with the Customized Attention-GRU Model

Aug 11, 2018
Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

* International Joint Conferences on Artificial Intelligence, 2018: 3947-3953 
* 7 pages, 6 figures, 3 tables. Published in IJCAI 2018. Make some figures and tables more clear 

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Addressing the Item Cold-start Problem by Attribute-driven Active Learning

May 23, 2018
Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

* 14 pages, 7 figures, 9 tables. Submitted to TKDE 

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A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training

May 18, 2018
Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu

* 23 pages, 4 figures, 1 table 

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ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition

Oct 15, 2017
Xin Chen, Yu Zhu, Hua Zhou, Liang Diao, Dongyan Wang

* 8 pages, 5 figure, 2 tables 

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Fidelity-Naturalness Evaluation of Single Image Super Resolution

Nov 21, 2015
Xuan Dong, Yu Zhu, Weixin Li, Lingxi Xie, Alex Wong, Alan Yuille


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