1 citations · 2 across the 6 of their papers we have counts for
7 papers · 1 filter
RVG-Bench: A Benchmark for Reasoning-Driven Audio-Visual Temporal Grounding
Yue Feng, Boshen Xu, Zihao Yue +5
Existing temporal video grounding (TVG) benchmarks primarily focus on localizing target video segments according to descriptive text queries of the visual content. However, real-wo…
EventLens: Event-Structure Reinforcement Learning for Video Understanding
Guowen Zhang, Boshen Xu, Zihao Yue +6
Recent multimodal large language models (MLLMs) achieve strong results on video question answering, yet often fail to recover the temporal structure that makes a video coherent. Th…
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…
ChartM: Benchmarking Chart Editing with Multimodal Instructions
Donglu Yang, Liang Zhang, Zihao Yue +4
Charts are a fundamental visualization format widely used in data analysis across research and industry. While enabling users to edit charts based on high-level intentions is of gr…
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…
Movie101v2: Improved Movie Narration Benchmark
Zihao Yue, Yepeng Zhang, Ziheng Wang +1
Automatic movie narration aims to generate video-aligned plot descriptions to assist visually impaired audiences. Unlike standard video captioning, it involves not only describing…
Movie101: A New Movie Understanding Benchmark
Zihao Yue, Qi Zhang, Anwen Hu +3
To help the visually impaired enjoy movies, automatic movie narrating systems are expected to narrate accurate, coherent, and role-aware plots when there are no speaking lines of a…