Lei Tai

Orcid: 0000-0003-0221-3467

According to our database1, Lei Tai authored at least 26 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2020
High-Speed Autonomous Drifting With Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2020

MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control.
IEEE Robotics Autom. Lett., 2019

Focal Loss in 3D Object Detection.
IEEE Robotics Autom. Lett., 2019

Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments.
CoRR, 2019

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues.
CoRR, 2019

End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation.
CoRR, 2019

Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Gaze Training by Modulated Dropout Improves Imitation Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A gaze model improves autonomous driving.
Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019

2018
Focal Loss in 3D Object Detection.
CoRR, 2018

PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud.
CoRR, 2018

Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning.
CoRR, 2018

VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control.
CoRR, 2018

Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning.
CoRR, 2017

Neural SLAM.
CoRR, 2017

Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention.
CoRR, 2017

Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI.
Proceedings of the 18th International Conference on Advanced Robotics, 2017

2016
PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI.
CoRR, 2016

Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not.
CoRR, 2016

Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots.
CoRR, 2016

A robot exploration strategy based on Q-learning network.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

A deep-network solution towards model-less obstacle avoidance.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016


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