3 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
Image Gradient-Aided Photometric Stereo Network
Kaixuan Wang, Lin Qi, Shiyu Qin +4
Photometric stereo (PS) endeavors to ascertain surface normals using shading clues from photometric images under various illuminations. Recent deep learning-based PS methods often…
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements
Zhiyan Wang, Deyin Liu, Lin Yuanbo Wu +3
Semantic segmentation is a fundamental task in multimedia processing, which can be used for analyzing, understanding, editing contents of images and videos, among others. To accele…
Superpixel Cost Volume Excitation for Stereo Matching
Shanglong Liu, Lin Qi, Junyu Dong +2
In this work, we concentrate on exciting the intrinsic local consistency of stereo matching through the incorporation of superpixel soft constraints, with the objective of mitigati…
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang, Qing Cai, Feng Gao +2
Cross-Domain Few-Shot Learning has witnessed great stride with the development of meta-learning. However, most existing methods pay more attention to learning domain-adaptive induc…
RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network
Kai Luo, Yakun Ju, Lin Qi +2
Predicting accurate normal maps of objects from two-dimensional images in regions of complex structure and spatial material variations is challenging using photometric stereo metho…