Lan Feng
Lan Feng
Ph.D. Student, EPFL
Verified email at - Homepage
Cited by
Cited by
Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue, B Zhou
IEEE transactions on pattern analysis and machine intelligence 45 (3), 3461-3475, 2022
Trafficgen: Learning to generate diverse and realistic traffic scenarios
L Feng, Q Li, Z Peng, S Tan, B Zhou
2023 IEEE International Conference on Robotics and Automation (ICRA), 3567-3575, 2023
ScenarioNet: Open-source platform for large-scale traffic scenario simulation and modeling
Q Li, ZM Peng, L Feng, Z Liu, C Duan, W Mo, B Zhou
Advances in neural information processing systems 36, 2024
Human-ai shared control via policy dissection
Q Li, Z Peng, H Wu, L Feng, B Zhou
Advances in Neural Information Processing Systems 35, 8853-8867, 2022
SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers
S Christen, L Feng, W Yang, YW Chao, O Hilliges, J Song
arXiv preprint arXiv:2311.05599, 2023
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
L Feng, M Bahari, KMB Amor, … Zablocki, M Cord, A Alahi
arXiv preprint arXiv:2403.15098, 2024
The system can't perform the operation now. Try again later.
Articles 1–6