Jiachen Li
Orcid: 0000-0002-4883-697XAffiliations:
- University of California, Berkeley, CA, USA
According to our database1,
Jiachen Li
authored at least 42 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Robotics Autom. Lett., February, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation.
CoRR, 2023
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving.
CoRR, 2023
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking.
IEEE Trans. Intell. Transp. Syst., 2022
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Important Object Identification with Semi-Supervised Learning for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory.
IEEE Robotics Autom. Lett., 2021
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting.
CoRR, 2021
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Multi-Agent Driving Behavior Prediction across Different Scenarios with Self-Supervised Domain Knowledge.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2020
EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs.
CoRR, 2020
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Wasserstein Generative Learning with Kinematic Constraints for Probabilistic Interactive Driving Behavior Prediction.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Safe and feasible motion generation for autonomous driving via constrained policy net.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017