Penghao Wu

Orcid: 0000-0001-6478-1166

According to our database1, Penghao Wu authored at least 15 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
End-to-End Autonomous Driving: Challenges and Frontiers.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.
CoRR, 2024

Generalized Predictive Model for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.
CoRR, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 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

2022
Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot.
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

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.
Proceedings of the Conference on Robot Learning, 2022

Inharmonious Region Localization with Auxiliary Style Feature.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Inharmonious Region Localization via Recurrent Self-Reasoning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Inharmonious Region Localization by Magnifying Domain Discrepancy.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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