I Seek You in Videos: Identity-Conditioned Queries for Person-Centric Video Reasoning

Real-world video understanding often requires identifying and tracking specific individuals across multimodal content, a capability underserved by existing video-text benchmarks. This paper introduces the Identity-conditioned Queries task and the ISYV framework, including a challenging benchmark, large training dataset, and model designed to jointly reason over a reference image and video content for identity grounding and behavior understanding. Applications include surveillance analytics, video search and retrieval, media content indexing, and any system needing to track or answer questions about specific people across long videos—an area where current mainstream models notably struggle, especially with cross-domain matching. Paper: https://arxiv.org/abs/2608.07417