1 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use
Siwei Wen, Zhangcheng Wang, Xingjian Zhang +2
Online video understanding requires models to perform continuous perception and long-range reasoning within potentially infinite visual streams. Its fundamental challenge lies in t…
What Color Is the Text? A Benchmark for Hallucination Induced by Image-Embedded Prompt
Jinkun Zhao, Lei Huang, Haixin Ge +1
We introduce Embedded Stroop, a controlled diagnostic paradigm for measuring image-embedded prompt interference in Multimodal Large Language Models (MLLMs), where the query is rend…
VoQA: Visual-only Question Answering
Jianing An, Luyang Jiang, Jie Luo +2
Visual understanding requires interpreting both natural scenes and the textual information that appears within them, motivating tasks such as Visual Question Answering (VQA). Howev…
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Xingjian Zhang, Siwei Wen, Wenjun Wu +1
Recently, improving the reasoning ability of large multimodal models (LMMs) through reinforcement learning has made great progress. However, most existing works are based on highly…
TinyLLaVA-Video: Towards Smaller LMMs for Video Understanding with Group Resampler
Xingjian Zhang, Xi Weng, Yihao Yue +3
Video behavior recognition and scene understanding are fundamental tasks in multimodal intelligence, serving as critical building blocks for numerous real-world applications. Throu…