1 citations · 1 across the 5 of their papers we have counts for
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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…
PresentBench: A Fine-Grained Rubric-Based Benchmark for Slide Generation
Xin-Sheng Chen, Jiayu Zhu, Pei-lin Li +3
Slides serve as a critical medium for conveying information in presentation-oriented scenarios such as academia, education, and business. Despite their importance, creating high-qu…
Beyond Inpainting: Unleash 3D Understanding for Stable Camera-Controlled Video Generation
Dong-Yu Chen, Yixin Guo, Shuojin Yang +2
Camera control has been extensively studied in conditioned video generation; however, performing precisely altering the camera trajectories while faithfully preserving the video co…
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…