Author

Chen Chen

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Preprint Oct 2026

Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency

Efficient long-video understanding with vision-language models (VLMs) is often framed as selecting informative frames or visual tokens at a fixed native resolution. We show that per-frame resolution can instead be traded for denser temporal coverage, while front-end decoding latency depends on the size of the candidate...

Si-Xun Dong, Wei Li, An-Dong Deng et al. · 0 citations

Position: Video LLMs Must Not Ignore the Pixel Dynamics in Plain Sight

It is argued that recent progress in video understanding is measured by benchmarks and protocols that can be solved without reliably perceiving spatiotemporal evidence, rewarding language-driven plausibility over video-grounded inference.

Shayda Moezzi, Umer Saleem, Andong Deng et al. · 1 citation