From the 1 of 63 linked papers with an AI index.
180 citations · 844 across the 57 of their papers we have counts for
4 papers · 1 filter
Proposal Flow
Bumsub Ham, Minsu Cho, Cordelia Schmid +1
Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout.~Semantic flow methods are designed to handl…
Unsupervised Object Discovery and Tracking in Video Collections
Suha Kwak, Minsu Cho, Ivan Laptev +2
This paper addresses the problem of automatically localizing dominant objects as spatio-temporal tubes in a noisy collection of videos with minimal or even no supervision. We formu…
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting
Junchi Yan, Minsu Cho, Hongyuan Zha +2
This paper addresses the problem of matching weighted graphs referring to an identical object or category. More specifically, matching the common node correspondences among gra…
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
Minsu Cho, Suha Kwak, Cordelia Schmid +1
This paper addresses unsupervised discovery and localization of dominant objects from a noisy image collection with multiple object classes. The setting of this problem is fully un…