Lu, Cewu

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping

Fang, H.-S., Wang, C., Gou, M., & Lu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robot Manipulation and LearningAdvanced Neural Network Applications

Cited by 683

Virtual to Real Reinforcement Learning for Autonomous Driving

Pan, X., You, Y., Wang, Z., & Lu, C. (2017) · Procedings of the British Machine Vision Conference 2017

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 326

Virtual to Real Reinforcement Learning for Autonomous Driving

Pan, X., You, Y., Wang, Z., & Lu, C. (2017) · arXiv

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 326

TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

Pang, B., Li, Y., Zhang, Y., Li, M., & Lu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 303

Towards a new generation of artificial intelligence in China

Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., et al. (2020) · Nature Machine Intelligence

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 287

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

Fang, H.-S., Sun, J., Wang, R., Gou, M., Li, Y.-L., & Lu, C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 228

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

LiDAR-Video Driving Dataset: Learning Driving Policies Effectively

Chen, Y., Wang, J., Li, J., Lu, C., Luo, Z., Xue, H., & Wang, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 131

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild

Fang, H., Fang, H.-S., Wang, Y., Ren, J., Chen, J., Zhang, R., Wang, W., & Lu, C. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 38

SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning

Lv, J., Yu, Q., Shao, L., Liu, W., Xu, W., & Lu, C. (2022) · 2022 International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 22

Outdoor RGBD Instance Segmentation With Residual Regretting Learning

Xu, Z., Liu, S., Shi, J., & Lu, C. (2020) · IEEE Transactions on Image Processing

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20

RFUniverse: A Multiphysics Simulation Platform for Embodied AI

Fu, H., Xu, W., Ye, R., Xue, H., Yu, Z., Tang, T., Li, Y., Du, W., Zhang, J., & Lu, C. (2022) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 2