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Finding Action Tubes with a Sparse-to-Dense Framework

Aug 30, 2020
Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu

* 5 figures; AAAI 2020 

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Context-Aware RCNN: A Baseline for Action Detection in Videos

Jul 20, 2020
Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu

* ECCV 2020 Camera-ready version 

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Dynamic Sampling Networks for Efficient Action Recognition in Videos

Jun 28, 2020
Yin-Dong Zheng, Zhaoyang Liu, Tong Lu, Limin Wang

* To appear in IEEE Transaction on Image Processing 

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TAM: Temporal Adaptive Module for Video Recognition

May 14, 2020
Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu

* Technical report 

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Fully Convolutional Online Tracking

Apr 15, 2020
Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu

* Technical Report. Code will be made available at https://github.com/MCG-NJU/FCOT 

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SketchyCOCO: Image Generation from Freehand Scene Sketches

Apr 07, 2020
Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou


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TEA: Temporal Excitation and Aggregation for Action Recognition

Apr 03, 2020
Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang

* CVPR2020. The code is available at https://github.com/Phoenix1327/tea-action-recognition 

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Image Generation from Freehand Scene Sketches

Mar 11, 2020
Chengying Gao, Qi Liu, Qi Xu, Jianzhuang Liu, Limin Wang, Changqing Zou


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Knowledge Integration Networks for Action Recognition

Feb 18, 2020
Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott

* To appear in AAAI 2020 

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V4D:4D Convolutional Neural Networks for Video-level Representation Learning

Feb 18, 2020
Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang

* To appear in ICLR2020 

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Learning Spatiotemporal Features via Video and Text Pair Discrimination

Jan 16, 2020
Tianhao Li, Limin Wang

* Technical Report 

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Actions as Moving Points

Jan 14, 2020
Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu

* Technical Report 

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TEINet: Towards an Efficient Architecture for Video Recognition

Nov 21, 2019
Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lu

* Accepted by AAAI 2020 

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LIP: Local Importance-based Pooling

Aug 27, 2019
Ziteng Gao, Limin Wang, Gangshan Wu

* ICCV 2019 camera ready version. Code: https://github.com/sebgao/LIP 

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Dynamically Visual Disambiguation of Keyword-based Image Search

May 27, 2019
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao

* Accepted by International Joint Conference on Artificial Intelligence (IJCAI), 2019 

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Translate-to-Recognize Networks for RGB-D Scene Recognition

Apr 28, 2019
Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu

* Accepted by CVPR 2019. Project: https://ownstyledu.github.io/Translate-to-Recognize-Networks/ 

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Learning Actor Relation Graphs for Group Activity Recognition

Apr 23, 2019
Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu

* Accepted by CVPR 2019 

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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

Nov 06, 2018
Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu, Yandong Li, Limin Wang, Shilei Wen


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Appearance-and-Relation Networks for Video Classification

May 06, 2018
Limin Wang, Wei Li, Wen Li, Luc Van Gool

* CVPR18 camera-ready version. Code & models available at https://github.com/wanglimin/ARTNet 

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Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering

Jan 24, 2018
Zhe Wang, Xiaoyi Liu, Liangjian Chen, Limin Wang, Yu Qiao, Xiaohui Xie, Charless Fowlkes

* 8 pages, 5 figures, state-of-the-art VQA system; https://github.com/wangzheallen/STL-VQA 

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Temporal Action Detection with Structured Segment Networks

Sep 18, 2017
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin

* To appear in ICCV2017. Code & models available at http://yjxiong.me/others/ssn 

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WebVision Database: Visual Learning and Understanding from Web Data

Aug 09, 2017
Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Luc Van Gool


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UntrimmedNets for Weakly Supervised Action Recognition and Detection

May 22, 2017
Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool

* camera-ready version to appear in CVPR2017 

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WebVision Challenge: Visual Learning and Understanding With Web Data

May 16, 2017
Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool

* project page: http://www.vision.ee.ethz.ch/webvision/ 

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Temporal Segment Networks for Action Recognition in Videos

May 08, 2017
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool

* 14 pages. An extension of submission at https://arxiv.org/abs/1608.00859 

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Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos

Mar 31, 2017
Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges

* Preliminary version to appear in CVPR2017 

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