Author

Qi Qian

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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

Jul 2026

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts

MissingBench-Verified is presented, a benchmark designed to evaluate a specific and practically relevant scenario: when vision-language models fail to recognize that an essential component of an object has been removed, indicating that this failure mode cannot be addressed through current prompting or post-hoc correcti...

W. Guo, Qi Qian, Shiyu Zhou et al. · arXiv.org · 0 citations