Lei Tai

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 32

Top Topics

Semantic Segmentation

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. CoRR (2020)
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
High-Speed Autonomous Drifting With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5 (2) (2020)
Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving. IROS (2020)
Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. CVPR (2020)
Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu
MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving. CoRR (2020)
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
High-speed Autonomous Drifting with Deep Reinforcement Learning. CoRR (2020)
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) (2019)
Congcong Liu, Yuying Chen, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi
A gaze model improves autonomous driving. ETRA (2019)
Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu
Focal Loss in 3D Object Detection. IEEE Robotics Autom. Lett. 4 (2) (2019)
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 (2019)
Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. CoRR (2019)
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)
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 (2019)
Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
Gaze Training by Modulated Dropout Improves Imitation Learning. CoRR (2019)
Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi
Gaze Training by Modulated Dropout Improves Imitation Learning. IROS (2019)
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 (2018)
Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning. CoRR (2018)
Peng Yun, Lei Tai, Yuan Wang, Ming Liu
Focal Loss in 3D Object Detection. CoRR (2018)
Yuan Wang, Tianyue Shi, Peng Yun, Lei Tai, Ming Liu
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud. CoRR (2018)
Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard
Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning. ICRA (2018)
Qinghai Liao, Ming Liu, Lei Tai, Haoyang Ye
Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention. CoRR (2017)
Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu
PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI. ICAR (2017)
Giuseppe Paolo, Lei Tai, Ming Liu
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. CoRR (2017)
Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard
Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning. CoRR (2017)
Lei Tai, Giuseppe Paolo, Ming Liu
Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. IROS (2017)
Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu
Neural SLAM. CoRR (2017)
Lei Tai, Giuseppe Paolo, Ming Liu
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation. CoRR (2017)
Lei Tai, Ming Liu
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots. CoRR (2016)
Lei Tai, Qiong Ye, Ming Liu
PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI. CoRR (2016)
Lei Tai, Ming Liu
A robot exploration strategy based on Q-learning network. RCAR (2016)
Lei Tai, Shaohua Li, Ming Liu
A deep-network solution towards model-less obstacle avoidance. IROS (2016)
Lei Tai, Ming Liu
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not. CoRR (2016)