32 citations · 60 across the 10 of their papers we have counts for
4 papers · 1 filter
SafeLoop: Risk-Aware Rollback for Vision-Language-Action Manipulation
Zeyu Lou, Tianran Zhang, Xinquan Yue +2
Recent vision-language-action (VLA) models are promising for general-purpose manipulation, but long-horizon execution remains fragile. Small state-estimation or control errors can…
PL-NBA: A Possession-level Universal Basketball Video Dataset Supporting Multiple Visual Understanding Tasks
Yunhao Zhao, Haoying Sun, Jiarui Li +5
Visual understanding in sports has emerged as a hot topic in computer vision in recent years. Most existing basketball video datasets adopt single action or activity as sample, whi…
NBA_Streaming: A Large-Scale Benchmark for Fine-Grained Basketball Commentary Generation in Continuous Streams
Lifang Wu, Yuyang Wu, Yangdong Gao +3
Live basketball commentary generation requires determining when an event is sufficiently observable and describing it before subsequent events unfold. However, existing methods are…
Watching Synthetic Videos: Aligning Cross-modal Representations with Visual Synthesis for Zero-shot Video Captioning
Liangyu Fu, Junbo Wang, Yuke Li +3
Text-only training is a popular paradigm in zero-shot video captioning, where the video distribution is not available to the model during training, leading to a cross-modal gap bet…