3 papers
cs.CV2026
StreamPro: From Reactive Perception to Proactive Decision-Making in Streaming Video
Ao Li, Zihan Xiao, Zihao Yue +7
Proactive streaming video understanding requires models to continuously process video streams and decide when to respond, rather than merely what to respond. This naturally introdu…
cs.CV2025
TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding
Boshen Xu, Zihan Xiao, Jiaze Li +4
We introduce TimeViper, a hybrid vision-language model designed to tackle challenges of long video understanding. Processing long videos demands both an efficient model architectur…
cs.CV2025
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Ye Wang, Ziheng Wang, Boshen Xu +14
Temporal Video Grounding (TVG), the task of locating specific video segments based on language queries, is a core challenge in long-form video understanding. While recent Large Vis…