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cs.CV2026

Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding

Yikai Zheng, Xin Ding, Yifan Yang +6

Recent advances in Streaming Video Understanding has enabled a new interaction paradigm where models respond proactively to user queries. Current proactive VideoLLMs rely on per-fr…

cs.CV2025

Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning

Chendong Wang, Donglin Bai, Yifan Yang +11

We present \emph{Video-in-the-Loop} (ViTL), a two-stage long-video QA framework that preserves a fixed token budget by first \emph{localizing} question-relevant interval(s) with a…

cs.CV2025

AVA: Towards Agentic Video Analytics with Vision Language Models

Yuxuan Yan, Shiqi Jiang, Ting Cao +5

AI-driven video analytics has become increasingly important across diverse domains. However, existing systems are often constrained to specific, predefined tasks, limiting their ad…

cs.CV2025

StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition

Xin Ding, Hao Wu, Yifan Yang +4

With the rise of real-world human-AI interaction applications, such as AI assistants, the need for Streaming Video Dialogue is critical. To address this need, we introduce StreamMi…

cs.CV2024

Making Every Frame Matter: Continuous Activity Recognition in Streaming Video via Adaptive Video Context Modeling

Hao Wu, Donglin Bai, Shiqi Jiang +6

Video activity recognition has become increasingly important in robots and embodied AI. Recognizing continuous video activities poses considerable challenges due to the fast expans…