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cs.CV2026
T2SGrid: Temporal-to-Spatial Gridification for Video Temporal Grounding
Chaohong Guo, Yihan He, Yongwei Nie +3
Video Temporal Grounding (VTG) aims to localize the video segment that corresponds to a natural language query, which requires a comprehensive understanding of complex temporal dyn…
cs.CV2026
Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning
Yihong Huang, Fei Ma, Yihua Shao +4
Vision token pruning has proven to be an effective acceleration technique for the efficient Vision Language Model (VLM). However, existing pruning methods demonstrate excellent per…