arxiv
PublishedOctober 16, 2026 at 4:00 AM
HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding
Publisher summary· verbatim
arXiv:2605.08158v3 Announce Type: replace-cross Abstract: Long video understanding with multimodal language models suffers from three compounding bottlenecks: heavy decode cost to obtain dense RGB frames, token growth with frame count, and weak motion perception under sparse keyframe sampling. Exist
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation12harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video12harxivCan Graph Learning Learn Circuits?12harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery12hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗