28 citations · 76 across the 13 of their papers we have counts for
15 papers · 1 filter
GEAR: GEometry-motion Alternating Refinement for Articulated Object Modeling with Gaussian Splatting
Jialin Li, Bin Fu, Ruiping Wang +1
High-fidelity interactive digital assets are essential for embodied intelligence and robotic interaction, yet articulated objects remain challenging to reconstruct due to their com…
VisKnow: Constructing Visual Knowledge Base for Object Understanding
Ziwei Yao, Qiyang Wan, Ruiping Wang +1
Understanding objects is fundamental to computer vision. Beyond object recognition that provides only a category label as typical output, in-depth object understanding represents a…
A Survey on Interpretability in Visual Recognition
Qiyang Wan, Chengzhi Gao, Ruiping Wang +1
Visual recognition models have achieved unprecedented success in various tasks. While researchers aim to understand the underlying mechanisms of these models, the growing demand fo…
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models
Bin Fu, Qiyang Wan, Jialin Li +2
Categorization, a core cognitive ability in humans that organizes objects based on common features, is essential to cognitive science as well as computer vision. To evaluate the ca…
Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
Ziyi Bai, Ruiping Wang, Xilin Chen
Video Question Answering (VideoQA) has emerged as a vital tool to evaluate agents' ability to understand human daily behaviors. Despite the recent success of large vision language…
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang, Ruiping Wang, Xilin Chen
Teaching machines to recognize a new category based on few training samples especially only one remains challenging owing to the incomprehensive understanding of the novel category…