From the 1 of 52 linked papers with an AI index.
840 citations · 2.7k across the 42 of their papers we have counts for
5 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…
Weakly-Supervised Alignment of Video With Text
Piotr Bojanowski, Rémi Lajugie, Edouard Grave +4
Suppose that we are given a set of videos, along with natural language descriptions in the form of multiple sentences (e.g., manual annotations, movie scripts, sport summaries etc.…
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun, Wenfei Cao, Zongben Xu +1
In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabili…
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…