EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning J Li, F Yang, M Tomizuka, C Choi Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020 | 219 | 2020 |
Conditional generative neural system for probabilistic trajectory prediction J Li, H Ma, M Tomizuka IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019 | 200 | 2019 |
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking J Li, H Ma, Z Zhang, J Li, M Tomizuka IEEE Transactions on Intelligent Transportation Systems, 2021 | 142* | 2021 |
LOKI: Long Term and Key Intentions for Trajectory Prediction H Girase, H Gang, S Malla, J Li, A Kanehara, K Mangalam, C Choi IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 74 | 2021 |
Weakly supervised scene parsing with point-based distance metric learning R Qian, Y Wei, H Shi, J Li, J Liu, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8843-8850, 2019 | 72 | 2019 |
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning J Li, H Ma, M Tomizuka 2019 IEEE International Conference on Robotics and Automation (ICRA), 2019 | 67 | 2019 |
Shared Cross-Modal Trajectory Prediction for Autonomous Driving C Choi, JH Choi, J Li, S Malla IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 64 | 2021 |
Spectral Temporal Graph Neural Network for Trajectory Prediction D Cao, J Li, H Ma, M Tomizuka IEEE International Conference on Robotics and Automation (ICRA), 2021 | 63 | 2021 |
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships X Ma, J Li, MJ Kochenderfer, D Isele, K Fujimura IEEE Conference on Robotics and Automation (ICRA), 2021 | 62 | 2021 |
Finite-time H∞ control of switched systems with mode-dependent average dwell time S Shi, Z Fei, J Li Journal of the Franklin Institute 353 (1), 221-234, 2016 | 56 | 2016 |
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving J Li, W Zhan, Y Hu, M Tomizuka IEEE Transactions on Intelligent Transportation Systems, 2020 | 54 | 2020 |
A high-performance potassium metal battery using safe ionic liquid electrolyte H Sun, P Liang, G Zhu, WH Hung, YY Li, HC Tai, CL Huang, J Li, Y Meng, ... Proceedings of the National Academy of Sciences 117 (45), 27847-27853, 2020 | 52 | 2020 |
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks L Wei, Z Li, J Gong, C Gong, J Li 2021 IEEE Intelligent Transportation Systems Conference (ITSC), 2021 | 51 | 2021 |
Multi-task batch reinforcement learning with metric learning J Li, Q Vuong, S Liu, M Liu, K Ciosek, H Christensen, H Su Advances in Neural Information Processing Systems 33, 6197-6210, 2020 | 49 | 2020 |
Drama: Joint risk localization and captioning in driving S Malla, C Choi, I Dwivedi, JH Choi, J Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 42 | 2023 |
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting J Li, F Yang, H Ma, S Malla, M Tomizuka, C Choi 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 42 | 2021 |
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real J Li, H Ma, W Zhan, M Tomizuka 2018 IEEE Intelligent Transportation Systems Conference (ITSC), 2018 | 38 | 2018 |
Continual Multi-agent Interaction Behavior Prediction with Conditional Generative Memory H Ma, Y Sun, J Li, M Tomizuka IEEE Robotics and Automation Letters, 2021 | 36 | 2021 |
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction H Ma, J Li, W Zhan, M Tomizuka IEEE Intelligent Vehicles Symposium (IV), 2019 | 36 | 2019 |
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling J Li, H Ma, W Zhan, M Tomizuka IEEE Intelligent Vehicles Symposium (IV), 2019 | 32 | 2019 |