2 citations · 2 across the 11 of their papers we have counts for
6 papers · 1 filter
VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding
Yucheng Liu, Yufei Yin, Mingxiao Feng +3
Long-video understanding places substantial demands on memory, as answering questions often requires retrieving information distributed across extended temporal spans. Existing app…
Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes
Yuling Xi, Haokai Zhang, Muzhi Zhu +10
Metric reasoning is a critical and challenging task for Vision Language Models (VLMs), playing a pivotal role in embodied AI tasks such as robotic manipulation and autonomous navig…
Multiple Consistent 2D-3D Mappings for Robust Zero-Shot 3D Visual Grounding
Yufei Yin, Jie Zheng, Qianke Meng +7
Zero-shot 3D Visual Grounding (3DVG) is a critical capability for open-world embodied AI. However, existing methods are fundamentally bottlenecked by the poor quality of open-vocab…
Progressive Video Condensation with MLLM Agent for Long-form Video Understanding
Yufei Yin, Yuchen Xing, Qianke Meng +3
Understanding long videos requires extracting query-relevant information from long sequences under tight compute budgets. Existing text-then-LLM pipelines lose fine-grained visual…
HERO: Hierarchical Embedding-Refinement for Open-Vocabulary Temporal Sentence Grounding in Videos
Tingting Han, Xinsong Tao, Yufei Yin +3
Temporal Sentence Grounding in Videos (TSGV) aims to temporally localize segments of a video that correspond to a given natural language query. Despite recent progress, most existi…
EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection
Shuo Jiang, Gaojia Zhang, Min Tan +2
Unsupervised Camouflaged Object Detection (UCOD) remains a challenging task due to the high intrinsic similarity between target objects and their surroundings, as well as the relia…