3 papers
cs.CV2026
StreamReady: Learning What to Answer and When in Long Streaming Videos
Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat
Streaming video understanding often involves time-sensitive scenarios where models need to answer exactly when the supporting visual evidence appears: answering before the evidence…
cs.CV2025
DisenQ: Disentangling Q-Former for Activity-Biometrics
Shehreen Azad, Yogesh S Rawat
In this work, we address activity-biometrics, which involves identifying individuals across diverse set of activities. Unlike traditional person identification, this setting introd…
cs.CV2025
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding
Shehreen Azad, Vibhav Vineet, Yogesh Singh Rawat
Despite advancements in multimodal large language models (MLLMs), current approaches struggle in medium-to-long video understanding due to frame and context length limitations. As…