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Shangxuan Wu

2 accepted papers

2024

3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation

ECCV 2024poster

"3D panoptic segmentation is a challenging perception task, especially in autonomous driving. It aims to predict both semantic and instance annotations for 3D points in a scene. Although prior 3D panoptic segmentation approaches have achieved great performance on closed-set benchmarks, generalizing…

Cited by 3SourcePDFScholar
2024

STT: Stateful Tracking with Transformers for Autonomous Driving

ICRA 2024poster

Tracking objects in three-dimensional space is critical for autonomous driving. To ensure safety while driving, the tracker must be able to reliably track objects across frames and accurately estimate their states such as velocity and acceleration in the present. Existing works frequently focus on t…

Cited by 0SourceScholar