Hongyang Li
Orcid: 0000-0001-9110-5534Affiliations:
- Shanghai AI Laboratory, China
- University of California at San Diego, USA
According to our database1,
Hongyang Li
authored at least 38 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation.
CoRR, 2023
Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.
CoRR, 2023
CoRR, 2023
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.
CoRR, 2022
CoRR, 2022
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.
CoRR, 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.
Proceedings of the Conference on Robot Learning, 2022
2017
DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
2015
IEEE Trans. Image Process., 2015