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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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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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RepPoints V2: Verification Meets Regression for Object Detection

Jul 16, 2020
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu


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Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Jul 08, 2020
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu

* Under review at Medical Image Analysis 

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A Closer Look at Local Aggregation Operators in Point Cloud Analysis

Jul 02, 2020
Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong

* Code available at https://github.com/zeliu98/CloserLook3D 

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Parametric Instance Classification for Unsupervised Visual Feature Learning

Jun 25, 2020
Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu


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Disentangled Non-Local Neural Networks

Jun 11, 2020
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu


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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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Memory Enhanced Global-Local Aggregation for Video Object Detection

Mar 26, 2020
Yihong Chen, Yue Cao, Han Hu, Liwei Wang

* Accepted by CVPR2020 

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Negative Margin Matters: Understanding Margin in Few-shot Classification

Mar 26, 2020
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu

* Code is available at https://github.com/bl0/negative-margin.few-shot 

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Cross-Iteration Batch Normalization

Feb 14, 2020
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin


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Energy-based Graph Convolutional Networks for Scoring Protein Docking Models

Dec 28, 2019
Yue Cao, Yang Shen


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Learning to Optimize in Swarms

Nov 16, 2019
Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

* Accepted to Neural Information Processing Systems (NeurIPS2019) 

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VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Aug 22, 2019
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai

* Work in progress 

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GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Apr 25, 2019
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu


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Spatial-Temporal Relation Networks for Multi-Object Tracking

Apr 25, 2019
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu


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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Mar 09, 2019
Weizhi Ma, Min Zhang, Yue Cao, Woojeong, Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren

* 10 pages, plus 1-page references; accepted at The Web Conference 2019 

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Deep Triplet Quantization

Feb 01, 2019
Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang

* Accepted by ACM Multimedia 2018 as oral paper 

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Bayesian active learning for optimization and uncertainty quantification in protein docking

Jan 31, 2019
Yue Cao, Yang Shen


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Correlation Hashing Network for Efficient Cross-Modal Retrieval

Feb 20, 2017
Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu

* 7 pages 

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Learning Transferable Features with Deep Adaptation Networks

May 27, 2015
Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan


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