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Point2Skeleton: Learning Skeletal Representations from Point Clouds


Dec 01, 2020
Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang

* 14 pages with appendix. Project: https://github.com/clinplayer/Point2Skeleton 

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CDT: Cascading Decision Trees for Explainable Reinforcement Learning


Nov 15, 2020
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang


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SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform


Oct 22, 2020
Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang

* IEEE Transactions on Visualization and Computer Graphics (TVCG), to appear 

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Some Insights into Lifelong Reinforcement Learning Systems


Jan 27, 2020
Changjian Li


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A Micro-Objective Perspective of Reinforcement Learning


Jun 12, 2019
Changjian Li, Krzysztof Czarnecki

* accepted at RLDM 2019 

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Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective


May 24, 2019
Changjian Li, Krzysztof Czarnecki

* accepted at RLDM 2019 

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Urban Driving with Multi-Objective Deep Reinforcement Learning


Feb 26, 2019
Changjian Li, Krzysztof Czarnecki

* Accepted at AAMAS 2019 

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Floorplan Priors for Joint Camera Pose and Room Layout Estimation


Dec 17, 2018
Cheng Lin, Changjian Li, Yasutaka Furukawa, Wenping Wang

* 10 pages 

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