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Yu-Kun Lai
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Publications
- 2024
- [j163]Peter Herbert, Jing Wu, Ze Ji, Yu-Kun Lai:
Benchmarking visual SLAM methods in mirror environments. Comput. Vis. Media 10(2): 215-241 (2024) - [c96]Jingwen Sun, Jing Wu, Ze Ji, Yu-Kun Lai:
RSMPNet: Relationship Guided Semantic Map Prediction. WACV 2024: 302-311 - [c95]Tao Wang, Jing Wu, Ze Ji, Yu-Kun Lai:
Sparse Convolutional Networks for Surface Reconstruction from Noisy Point Clouds. WACV 2024: 3200-3209 - 2023
- [j141]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. IEEE Trans. Cogn. Dev. Syst. 15(3): 1139-1149 (2023) - [c79]Njuod Alsudays, Jing Wu, Yu-Kun Lai, Ze Ji:
AFPSNet: Multi-Class Part Parsing based on Scaled Attention and Feature Fusion. WACV 2023: 4022-4031 - [i65]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective. CoRR abs/2303.05344 (2023) - 2022
- [j115]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai, Changyun Wei, Guoliang Liu, Rossitza Setchi:
Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4727-4741 (2022) - [c72]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning. ICAC 2022: 1-6 - [i45]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning. CoRR abs/2207.09243 (2022) - 2021
- [c60]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
An Open-Source Multi-goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. TAROS 2021: 14-24 - [i39]Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. CoRR abs/2105.05985 (2021)
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last updated on 2024-04-18 20:29 CEST by the dblp team
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