| Planning-oriented Autonomous Driving Y Hu, J Yang, L Chen, K Li, C Sima, X Zhu, S Chai, S Du, T Lin, W Wang, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 713* | 2023 |
| End-to-end Autonomous Driving: Challenges and Frontiers L Chen, P Wu, K Chitta, B Jaeger, A Geiger, H Li IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 271 | 2024 |
| ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-temporal Feature Learning S Hu, L Chen, P Wu, H Li, J Yan, D Tao European Conference on Computer Vision (ECCV), 2022 | 239 | 2022 |
| LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ... arXiv preprint arXiv:2310.03026, 2023 | 204 | 2023 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline P Wu, X Jia, L Chen, J Yan, H Li, Y Qiao Advances in Neural Information Processing Systems (NeurIPS), 2022 | 196 | 2022 |
| PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark L Chen, C Sima, Y Li, Z Zheng, J Xu, X Geng, H Li, C He, J Shi, Y Qiao, ... European Conference on Computer Vision (ECCV), 2022 | 184 | 2022 |
| DriveLM: Driving with Graph Visual Question Answering C Sima, K Renz, K Chitta, L Chen, H Zhang, C Xie, P Luo, A Geiger, H Li European Conference on Computer Vision (ECCV), 2024 | 173 | 2024 |
| Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe H Li, C Sima, J Dai, W Wang, L Lu, H Wang, J Zeng, Z Li, J Yang, H Deng, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 152 | 2023 |
| Scene as Occupancy W Tong, C Sima, T Wang, L Chen, S Wu, H Deng, Y Gu, L Lu, P Luo, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 147* | 2023 |
| HDGT: Heterogeneous Driving Graph Transformer for Multi-agent Trajectory Prediction via Scene Encoding X Jia, P Wu, L Chen, Y Liu, H Li, J Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 127 | 2023 |
| Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving X Jia, P Wu, L Chen, J Xie, C He, J Yan, H Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 82 | 2023 |
| OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping H Wang, T Li, Y Li, L Chen, C Sima, Z Liu, B Wang, P Jia, Y Wang, S Jiang, ... NeurIPS Track Datasets and Benchmarks, 2023 | 66* | 2023 |
| Graph-based Topology Reasoning for Driving Scenes T Li, L Chen, X Geng, H Wang, Y Li, Z Liu, S Jiang, Y Wang, H Xu, C Xu, ... arXiv preprint arXiv:2304.05277, 2023 | 54 | 2023 |
| DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving X Jia, Y Gao, L Chen, J Yan, PL Liu, H Li IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 49 | 2023 |
| Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability S Gao, J Yang, L Chen, K Chitta, Y Qiu, A Geiger, J Zhang, H Li Advances in Neural Information Processing Systems (NeurIPS), 2024 | 46 | 2024 |
| Generalized Predictive Model for Autonomous Driving J Yang, S Gao, Y Qiu, L Chen, T Li, B Dai, K Chitta, P Wu, J Zeng, P Luo, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 46 | 2024 |
| Visual Point Cloud Forecasting enables Scalable Autonomous Driving Z Yang, L Chen, Y Sun, H Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 45 | 2024 |
| Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling P Wu, L Chen, H Li, X Jia, J Yan, Y Qiao The Eleventh International Conference on Learning Representations (ICLR), 2023 | 37 | 2023 |
| LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving T Li, P Jia, B Wang, L Chen, K Jiang, J Yan, H Li The Twelfth International Conference on Learning Representations (ICLR), 2024 | 35 | 2024 |
| Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach X Jia, L Chen, P Wu, J Zeng, J Yan, H Li, Y Qiao 6th Annual Conference on Robot Learning (CoRL), 2022 | 34 | 2022 |
Hongyang LiAssistant Professor, OpenDriveLab at The University of Hong Kong確認したメール アドレス: hku.hk