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cs.AI2026
Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models
Shengye Dong, Haochen Niu, Hao Liu +3
Modern vision-language-action (VLA) policies predict a whole chunk of actions: one to two seconds of coordinated motion emitted in a single forward pass. Yet an action chunk is ess…
cs.CV2026
Knowledge-Refined Dual Context-Aware Network for Partially Relevant Video Retrieval
Junkai Yang, Qirui Wang, Yaoqing Jin +3
Retrieving partially relevant segments from untrimmed videos remains difficult due to two persistent challenges: the mismatch in information density between text and video segments…