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Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization


Apr 06, 2021
Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Xiaoyun Zhang, Qi Tian


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Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception


Mar 04, 2021
Qi Yang, Siheng Chen, Yiling Xu, Jun Sun, M. Salman Asif, Zhan Ma


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Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation


Dec 17, 2020
Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang

* Accepted in AAAI 2021 

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Spatio-Temporal Graph Scattering Transform


Dec 10, 2020
Chao Pan, Siheng Chen, Antonio Ortega

* 18 pages 

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Learning on Attribute-Missing Graphs


Nov 03, 2020
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W Tsang

* This paper is to appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (TPAMI), 2020 

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Sampling and Recovery of Graph Signals based on Graph Neural Networks


Nov 03, 2020
Siheng Chen, Maosen Li, Ya Zhang


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Graph Cross Networks with Vertex Infomax Pooling


Oct 17, 2020
Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang

* Neurips 2020 

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Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks


Jun 17, 2020
Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe

* 5 pages 

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Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction


Mar 17, 2020
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian


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MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps


Mar 15, 2020
Pengxiang Wu, Siheng Chen, Dimitris Metaxas

* CVPR 2020 

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Collaborative Motion Prediction via Neural Motion Message Passing


Mar 14, 2020
Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu

* Accepted by CVPR 2020 Oral 

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3D Point Cloud Processing and Learning for Autonomous Driving


Mar 01, 2020
Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington

* IEEE Signal Processing Magazine, Special Issue on Autonomous Driving 

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Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring


Feb 06, 2020
Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, HaeYoung Noh

* To appear in Proc. ICASSP2020, May 04-08, 2020, Barcelona, Spain. IEEE 

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Efficient and Stable Graph Scattering Transforms via Pruning


Jan 27, 2020
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis


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Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction


Oct 05, 2019
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian

* submitted to IEEE-TPAMI 

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Node Attribute Generation on Graphs


Jul 23, 2019
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang


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Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving


Jun 26, 2019
Siheng Chen, Sufeng. Niu, Tian Lan, Baoan Liu


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Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering


May 11, 2019
Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian


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Handwritten Chinese Font Generation with Collaborative Stroke Refinement


May 06, 2019
Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian

* 8 pages(exclude reference) 

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Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition


Apr 26, 2019
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian

* Accepted by CVPR 2019 

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3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation


Apr 09, 2019
Chaojing Duan, Siheng Chen, Jelena Kovacevic


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Generalized Value Iteration Networks: Life Beyond Lattices


Oct 26, 2017
Sufeng Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovačević

* 14 pages, conference 

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Fast Resampling of 3D Point Clouds via Graphs


Feb 11, 2017
Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević


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A statistical perspective of sampling scores for linear regression


Feb 10, 2016
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević


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Signal Representations on Graphs: Tools and Applications


Dec 16, 2015
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević


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Signal Recovery on Graphs: Variation Minimization


May 29, 2015
Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovačević

* To appear on IEEE Transactions on Signal Processing 

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Signal Recovery on Graphs: Random versus Experimentally Designed Sampling


May 29, 2015
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević

* Correct some typos 

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