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20142026
most citedIs Space-Time Attention All You Need for Video Understanding?

1.5k citations · 1.7k across the 59 of their papers we have counts for

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Showing 2026 · cs.CVShow all

6 papers · 2 filters

cs.CV2026

Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA

Ce Zhang, Ziyang Wang, Yulu Pan +6

Grounded long-video question answering (Grounded LVQA) requires answering a question about a long video while localizing the short evidence interval that supports the answer. Recen…

cs.CV2026

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence

Yulu Pan, Han Yi, Seongsu Ha +4

True video intelligence demands more than recognizing what is visible: it requires reasoning about why events unfold, predicting what would change under different conditions, and d…

cs.CV2026

TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion

Nurislam Tursynbek, Zhiqiang Lao, Heather Yu +2

Recent text-to-video diffusion transformers generate visually compelling frames, yet still struggle with temporal coherence, often producing flickering, drifting, or unstable motio…

cs.CV2026

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

Ziyang Wang, Yue Zhang, Shoubin Yu +6

Next-generation visual assistants, such as smart glasses, embodied agents, and always-on life-logging systems, must reason over an entire day or more of continuous visual experienc…

cs.CV2026

V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation

Yan-Bo Lin, Jonah Casebeer, Long Mai +3

Generating music that temporally aligns with video events is challenging for existing text-to-music models, which lack fine-grained temporal control. We introduce V2M-ZERO, a video…

cs.CV2026★ 1 cited

TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs

Baiqi Li, Kangyi Zhao, Ce Zhang +3

Fine-grained spatio-temporal understanding is essential for video reasoning and embodied AI. Yet, while Multimodal Large Language Models (MLLMs) master static semantics, their gras…