WeakCLIP: Adapting CLIP for Weakly-Supervised Semantic Segmentation.
Int. J. Comput. Vis., March, 2025
MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction.
Int. J. Comput. Vis., March, 2025
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.
CoRR, March, 2025
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning.
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CoRR, February, 2025
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.
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CoRR, 2024
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.
CoRR, 2024
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.
CoRR, 2024
Lane Graph as Path: Continuity-Preserving Path-Wise Modeling for Online Lane Graph Construction.
Proceedings of the Computer Vision - ECCV 2024, 2024
VAD: Vectorized Scene Representation for Efficient Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction.
CoRR, 2022