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2020 – today
- 2020
[j3]Peide Cai
, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu:
High-Speed Autonomous Drifting With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5(2): 1247-1254 (2020)- [c10]Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li:
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. CVPR 2020: 12090-12099 - [c9]Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu:
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving. IROS 2020: 10556-10563 - [i19]Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu:
High-speed Autonomous Drifting with Deep Reinforcement Learning. CoRR abs/2001.01377 (2020) - [i18]Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li:
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. CoRR abs/2003.00504 (2020) - [i17]Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu:
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving. CoRR abs/2010.11702 (2020)
2010 – 2019
- 2019
- [j2]Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard:
VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics Autom. Lett. 4(2): 1148-1155 (2019) - [j1]Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu:
Focal Loss in 3D Object Detection. IEEE Robotics Autom. Lett. 4(2): 1263-1270 (2019) - [c8]Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi:
A gaze model improves autonomous driving. ETRA 2019: 33:1-33:5 - [c7]Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu:
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective. IROS 2019: 2622-2628 - [c6]Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi:
Gaze Training by Modulated Dropout Improves Imitation Learning. IROS 2019: 7756-7761 - [i16]Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu:
End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation. CoRR abs/1903.00821 (2019) - [i15]Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung:
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. CoRR abs/1904.01749 (2019) - [i14]Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi:
Gaze Training by Modulated Dropout Improves Imitation Learning. CoRR abs/1904.08377 (2019) - [i13]Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram E. Shi:
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments. CoRR abs/1907.04728 (2019) - 2018
- [c5]Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard:
Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning. ICRA 2018: 1111-1117 - [i12]Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard:
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. CoRR abs/1802.00265 (2018) - [i11]Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard:
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning. CoRR abs/1804.00456 (2018) - [i10]Yuan Wang, Tianyue Shi, Peng Yun, Lei Tai, Ming Liu:
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud. CoRR abs/1807.06288 (2018) - [i9]Peng Yun, Lei Tai, Yuan Wang, Ming Liu:
Focal Loss in 3D Object Detection. CoRR abs/1809.06065 (2018) - 2017
- [c4]Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu:
PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI. ICAR 2017: 124-130 - [c3]Lei Tai, Giuseppe Paolo, Ming Liu:
Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. IROS 2017: 31-36 - [i8]Lei Tai, Giuseppe Paolo, Ming Liu:
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation. CoRR abs/1703.00420 (2017) - [i7]Qinghai Liao, Ming Liu, Lei Tai, Haoyang Ye:
Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention. CoRR abs/1703.04391 (2017) - [i6]Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu:
Neural SLAM. CoRR abs/1706.09520 (2017) - [i5]Giuseppe Paolo, Lei Tai, Ming Liu:
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. CoRR abs/1709.08430 (2017) - [i4]Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard:
Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning. CoRR abs/1710.02543 (2017) - 2016
- [c2]Lei Tai, Shaohua Li, Ming Liu:
A deep-network solution towards model-less obstacle avoidance. IROS 2016: 2759-2764 - [c1]Lei Tai, Ming Liu:
A robot exploration strategy based on Q-learning network. RCAR 2016: 57-62 - [i3]Lei Tai, Qiong Ye, Ming Liu:
PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI. CoRR abs/1610.01732 (2016) - [i2]Lei Tai, Ming Liu:
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots. CoRR abs/1610.01733 (2016) - [i1]Lei Tai, Ming Liu:
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not. CoRR abs/1612.07139 (2016)
Coauthor Index
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