4 papers · 1 filter
Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation
Qiming Huang, Hao Ai, Jianbo Jiao
Benefiting from the inductive biases learned from large-scale datasets, open-vocabulary semantic segmentation (OVSS) leverages the power of vision-language models, such as CLIP, to…
RobotSeg: A Model and Dataset for Segmenting Robots in Image and Video
Haiyang Mei, Qiming Huang, Hai Ci +1
Accurate robot segmentation is a fundamental capability for robotic perception. It enables precise visual servoing for VLA systems, scalable robot-centric data augmentation, accura…
What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
Qiyue Sun, Qiming Huang, Yang Yang +2
Humans usually show exceptional generalisation and discovery ability in the open world, when being shown uncommon new concepts. Whereas most existing studies in the literature focu…
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation
Chen Xu, Qiming Huang, Yuqi Hou +4
Medical image segmentation poses challenges due to domain gaps, data modality variations, and dependency on domain knowledge or experts, especially for low- and middle-income count…