From the 1 of 61 linked papers with an AI index.
151 citations · 284 across the 37 of their papers we have counts for
5 papers · 1 filter
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han, Andrea Vedaldi, Andrew Zisserman
We consider the problem of discovering novel object categories in an image collection. While these images are unlabelled, we also assume prior knowledge of related but different im…
Learning Transparent Object Matting
Guanying Chen, Kai Han, Kwan-Yee K. Wong
This paper addresses the problem of image matting for transparent objects. Existing approaches often require tedious capturing procedures and long processing time, which limit thei…
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han +2
While semi-supervised learning (SSL) algorithms provide an efficient way to make use of both labelled and unlabelled data, they generally struggle when the number of annotated samp…
Unsupervised Image Matching and Object Discovery as Optimization
Huy V. Vo, Francis Bach, Minsu Cho +4
The paper reformulates unsupervised object category discovery and image matching as a formal optimization problem and demonstrates its effectiveness on benchmark datasets.
Self-calibrating Deep Photometric Stereo Networks
Guanying Chen, Kai Han, Boxin Shi +2
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes based on deep learning. Unlike previous approaches that heavily rely on assumptions of speci…