1 citations · 1 across the 7 of their papers we have counts for
4 papers · 1 filter
HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents
Hy Vision Team, Huawen Shen, Zhengyang Tang +20
As large multimodal models move from understanding content to operating on digital environments, mobile GUI has emerged as a challenging and consequential testbed for digital embod…
Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction
Sunqi Fan, Qingle Liu, Runqi Yin +2
Video understanding is a fundamental capability for multimodal intelligence, and recent Multimodal Large Language Models (MLLMs) have achieved remarkable performance on Video Quest…
Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
Sunqi Fan, Jiashuo Cui, Meng-Hao Guo +1
Video Question Answering (VideoQA) task serves as a critical playground for evaluating whether foundation models can effectively perceive, understand, and reason about dynamic real…
Agentic Keyframe Search for Video Question Answering
Sunqi Fan, Meng-Hao Guo, Shuojin Yang
Video question answering (VideoQA) enables machines to extract and comprehend key information from videos through natural language interaction, which is a critical step towards ach…