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LID 2020: The Learning from Imperfect Data Challenge Results

Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 

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Active Visual Information Gathering for Vision-Language Navigation

Aug 19, 2020
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen

* ECCV2020 (changed with improved perfromance on Pre-Explore and Beam Search settings); website: https://github.com/HanqingWangAI/Active_VLN 

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Weakly Supervised 3D Object Detection from Lidar Point Cloud

Jul 23, 2020
Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai

* ECCV 2020; website: https://github.com/hlesmqh/WS3D 

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Video Object Segmentation with Episodic Graph Memory Networks

Jul 19, 2020
Xinkai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool

* ECCV2020 Spotlight; website: https://github.com/carrierlxk/GraphMemVOS 

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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Jul 08, 2020
Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool

* Full version of ECCV2020 Oral, CVPR2020 LID workshop Best Paper and LID challenge Track1 winner; website: https://github.com/GuoleiSun/MCIS_wsss 

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A Unified Object Motion and Affinity Model for Online Multi-Object Tracking

Apr 03, 2020
Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen

* Accepted to CVPR 2020. Code: https://github.com/yinjunbo/UMA-MOT 

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Cascaded Human-Object Interaction Recognition

Mar 11, 2020
Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen

* Accepted to CVPR 2020. Winner of the ICCV-2019 PIC Challenge on both HOIW and PIC tracks. Code: https://github.com/tfzhou/C-HOI 

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Hierarchical Human Parsing with Typed Part-Relation Reasoning

Mar 11, 2020
Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao

* Accepted to CVPR 2020. Code:https://github.com/hlzhu09/Hierarchical-Human-Parsing 

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Learning Video Object Segmentation from Unlabeled Videos

Mar 10, 2020
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven C. H. Hoi

* Accepted to CVPR 2020. Code: https://github.com/carrierlxk/MuG 

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Human-Aware Motion Deblurring

Jan 19, 2020
Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao

* ICCV2019 paper. Website: https://github.com/joanshen0508/HA_deblur 

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See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

Jan 19, 2020
Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli

* CVPR2019 
* CVPR2019. Weblink: https://github.com/carrierlxk/COSNet 

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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

Jan 19, 2020
Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao

* ICCV2019(Oral) 
* ICCV2019(Oral). Website: https://github.com/carrierlxk/AGNN 

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Learning Compositional Neural Information Fusion for Human Parsing

Jan 19, 2020
Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao

* ICCV2019 
* ICCV2019. Websie: https://github.com/ZzzjzzZ/CompositionalHumanParsing 

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Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning

Sep 04, 2019
Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, Song-Chun Zhu

* Accepted by ICCV 2019 

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Teacher-Students Knowledge Distillation for Siamese Trackers

Jul 24, 2019
Yuanpei Liu, Xingping Dong, Wenguan Wang, Jianbing Shen


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Human vs Machine Attention in Neural Networks: A Comparative Study

Jun 24, 2019
Qiuxia Lai, Wenguan Wang, Salman Khan, Jianbing Shen, Hanqiu Sun, Ling Shao


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Human \textit{vs} Machine Attention in Neural Networks: A Comparative Study

Jun 20, 2019
Qiuxia Lai, Wenguan Wang, Salman Khan, Jianbing Shen, Hanqiu Sun, Ling Shao


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Reasoning Visual Dialogs with Structural and Partial Observations

May 28, 2019
Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu

* CVPR 2019 Oral paper 

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Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Apr 19, 2019
Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling

* https://github.com/wenguanwang/SODsurvey 

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Learning Human-Object Interactions by Graph Parsing Neural Networks

Aug 23, 2018
Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu

* This paper is published in ECCV 2018 

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Revisiting Video Saliency: A Large-scale Benchmark and a New Model

May 26, 2018
Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji

* CVPR2018 paper. Website: https://github.com/wenguanwang/DHF1K We have corrected some statistics of our results (baseline training setting (iii)) on UCF sports dataset 

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Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Apr 02, 2018
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

* CVPR 2018 

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Selective Video Object Cutout

Mar 22, 2018
Wenguan Wang, Jianbing Shen, Fatih Porikli

* IEEE Transactions on Image Processing, Vol. 26, No. 12, pp 5645-5655, 2017 
* W. Wang, J. Shen, and F. Porikli. "Selective video object cutout." IEEE Transactions on Image Processing 26.12 (2017): 5645-5655 

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Deep Visual Attention Prediction

Mar 22, 2018
Wenguan Wang, Jianbing Shen

* IEEE Transactions on Image Processing, Vol. 27, No. 5, pp 2368-2378, 2018 
* W. Wang and J. Shen. Deep visual attention prediction. IEEE TIP, 27(5):2368-2378,2018. Code and results can be found in https://github.com/wenguanwang/deepattention 

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