5 papers · 1 filter
RefineDrive: Reliable Failure-Guided Learning for Vision-Language-Action Driving
Zhe Sun, Ziyi Luo, Yehao Lu +2
Vision-Language-Action (VLA) models for autonomous driving rely heavily on successful expert demonstrations, leaving model-specific failures underexploited. Learning from these fai…
RRTrack: Robust and Recoverable Object 6D Pose Tracking for Dynamic Scenes
Junyue Li, Ye Zheng, Yifan Chen +2
Robust object 6D pose tracking is critical for robotic systems operating in dynamic and occluded scenes. Per-frame estimators are accurate but computationally expensive, while curr…
UAV-OVVIS: Unmanned Aerial Vehicles Also Need Open-Vocabulary Video Instance Segmentation
Mingyu Dou, Shi Qiu, Ming Hu +2
Unmanned Aerial Vehicle (UAV) videos are widely used in traffic monitoring, urban management, and emergency rescue. However, existing UAV video perception is largely limited to box…
AdaptOVCD: Training-Free Open-Vocabulary Remote Sensing Change Detection via Adaptive Information Fusion
Mingyu Dou, Shi Qiu, Ming Hu +4
Remote sensing change detection plays a pivotal role in domains such as environmental monitoring, urban planning, and disaster assessment. However, existing methods typically rely…
Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache
Yuqiu Jiang, Xiaozhen Qiao, Yifan Chen +3
Human-Object Interaction (HOI) detection is a fundamental task in computer vision, empowering machines to comprehend human-object relationships in diverse real-world scenarios. Rec…