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MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving


Sep 29, 2020
Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu

* IROS 2020 
* 8 pages, 6 figures 

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MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships


Mar 01, 2020
Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li

* CVPR 2020 accepted 

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High-speed Autonomous Drifting with Deep Reinforcement Learning


Jan 06, 2020
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu


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Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments


Aug 27, 2019
Congcong Liu, Yuying Chen, Lei Tai, Ming Liu, Bertram Shi

* 4 pages, 3 figures, accepted by ICML 2019 Workshop on Understanding and Improving Generalization in Deep Learning 

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Gaze Training by Modulated Dropout Improves Imitation Learning


Apr 17, 2019
Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi

* 8 pages, 5 figures 

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Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues


Apr 03, 2019
Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung


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End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation


Mar 03, 2019
Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu


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VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control


Jan 16, 2019
Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard

* IEEE RA-L 2019 to appear. The first two authors contributed equally. Video and supplement file are available on the project page(https://goo.gl/KcvmRm

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PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud


Sep 25, 2018
Yuan Wang, Tianyue Shi, Peng Yun, Lei Tai, Ming Liu

* Video link: https://youtu.be/b1BAbcjJ10s code link: https://github.com/ywangeq/PointSeg 

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Focal Loss in 3D Object Detection


Sep 18, 2018
Peng Yun, Lei Tai, Yuan Wang, Ming Liu

* Our code is available at https://github.com/pyun-ram/FL3D 

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Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning


May 14, 2018
Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard

* 5 pages, 4 figures; to be published in MLPC 2018 

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A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation


Apr 09, 2018
Lei Tai, Jingwei Zhang, Ming Liu, Joschka Boedecker, Wolfram Burgard

* 19 pages, 1 figures 

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Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning


Feb 26, 2018
Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard

* ICRA 2018 camera-ready version. 7 pages, video link: https://www.youtube.com/watch?v=0hw0GD3lkA8 

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Neural SLAM: Learning to Explore with External Memory


Nov 29, 2017
Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu

* A video of our experiments can be found at: https://goo.gl/G2Vu5y 

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Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning


Sep 25, 2017
Giuseppe Paolo, Lei Tai, Ming Liu

* 12 pages, single column, submitted to International Journal of Robotics and Automation (IJRA) 

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Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation


Jul 21, 2017
Lei Tai, Giuseppe Paolo, Ming Liu

* video: https://www.youtube.com/watch?v=9AOIwBYIBbs, 6 pages, 9 figures, to appear in he 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), final submission version 

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PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI


Jul 11, 2017
Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu

* ICAR 2017 - 18th International Conference on Advanced Robotics, Best Student Paper Award, 6 figures 

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Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention


Mar 02, 2017
Qinghai Liao, Ming Liu, Lei Tai, Haoyang Ye


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Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots


Oct 06, 2016
Lei Tai, Ming Liu


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