most citedSPEAR: A Unified SSL Framework for Learning Speech and Audio Representations

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cs.CV2026

Time-JEPA: Grounding Video World Models with Physical Time Series

Shenyi Li, Ziyang Zhang, Wen Wu +2

Video world models learn how visual environments evolve by predicting missing or future content. However, physical-state information can provide useful context for predicting how e…

cs.CV2026

HIPPO: Accelerating Video Large Language Models Inference via Holistic-aware Parallel Speculative Decoding

Qitan Lv, Tianyu Liu, Wen Wu +4

Speculative decoding (SD) has emerged as a promising approach to accelerate LLM inference without sacrificing output quality. Existing SD methods tailored for video-LLMs primarily…