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Jing Chen

College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China

Computational efficient deep neural network with difference attention maps for facial action unit detection

Nov 27, 2020
Jing Chen, Chenhui Wang, Kejun Wang, Meichen Liu


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HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild

Jul 24, 2020
Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang


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Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology

Mar 22, 2020
Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen


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Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching

Mar 05, 2020
Lu Zhang, Wenchao Ding, Jing Chen, Shaojie Shen

* Accepted by IEEE International Conference on Robotics and Automation (ICRA) 2020 

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A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media

Dec 17, 2019
Rahul Radhakrishnan Iyer, Jing Chen, Haonan Sun, Keyang Xu

* 6 pages, 1 figure 

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How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions

Nov 21, 2019
Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si

* AAAI 2020 

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Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor

Jun 24, 2019
Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen

* Accepted by IEEE Robotics and Automation Letters (IEEE RA-L) 

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Deep Surface Normal Estimation with Hierarchical RGB-D Fusion

Apr 06, 2019
Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang


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Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network

Mar 03, 2019
Wenchao Ding, Jing Chen, Shaojie Shen

* 6+n pages. Accepted to International Conference on Robotics and Automation (ICRA) 2019. IEEE copyright 

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Learning-based Natural Geometric Matching with Homography Prior

Jul 13, 2018
Yifang Xu, Tianli Liao, Jing Chen

* 13 pages,4 figures 

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Coarse-to-fine Seam Estimation for Image Stitching

May 24, 2018
Tianli Liao, Jing Chen, Yifang Xu

* 5 pages, 4 figures 

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Graph-based Hypothesis Generation for Parallax-tolerant Image Stitching

Apr 20, 2018
Jing Chen, Nan Li, Tianli Liao

* 3 pages, 3 figures, 2 tables 

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Ratio-Preserving Half-Cylindrical Warps for Natural Image Stitching

Mar 18, 2018
Yifang Xu, Jing Chen, Tianli Liao

* 3 pages, 5 figures 

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Equivalence of restricted Boltzmann machines and tensor network states

Feb 05, 2018
Jing Chen, Song Cheng, Haidong Xie, Lei Wang, Tao Xiang

* Phys. Rev. B 97, 085104 (2018) 
* 18 pages, 12 figures + 2 appendices; Code implementations at https://github.com/yzcj105/rbm2mps 

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Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

Dec 12, 2017
Song Cheng, Jing Chen, Lei Wang

* Entropy 2018, 20(8), 583 
* 7 pages, 4 figures 

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Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces

Sep 05, 2015
Yuewei Lin, Jing Chen, Yu Cao, Youjie Zhou, Lingfeng Zhang, Yuan Yan Tang, Song Wang

* ICIP 2015 Top 10% paper 

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