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Author

Gueter Josmy Faure

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#artificial intelligence Preprint Oct 2026

VETO: Video Efficient Token Optimization for Vision Language Models

Processing long videos with Vision-Language Models (VLMs) is bottlenecked by the quadratic cost of visual tokens, making long-form inference prohibitively expensive. While single-axis compression methods mitigate this, they hit a hard efficiency floor because they treat spatial and temporal redundancy independently. We...

Gueter Josmy Faure, Hao-Ping Wang, Min-Hung Chen et al. · 0 citations
#artificial intelligence Review Sep 2026

ActionLens: Diagnosing Spatial-Temporal Binding Failures in Vision-Language Models

This work introduces ActionLens, a diagnostic benchmark of 6,701 multiple-choice video questions spanning five targeted diagnostics: transition detection, actor-specific identification, concurrent action binding, directed interaction reasoning, and gaze detection, and diagnostic measurements of these distinct failure m...

Gueter Josmy Faure, Min-Hung Chen, Hao-Ping Wang et al. · 0 citations

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