628 citations · 2.1k across the 30 of their papers we have counts for
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Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video
Luca Del Pero, Susanna Ricco, Rahul Sukthankar +1
Given unstructured videos of deformable objects, we automatically recover spatiotemporal correspondences to map one object to another (such as animals in the wild). While tradition…
Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering
Marius Leordeanu, Alexandra Radu, Rahul Sukthankar
Feature selection is an essential problem in computer vision, important for category learning and recognition. Along with the rapid development of a wide variety of visual features…
Articulated motion discovery using pairs of trajectories
Luca Del Pero, Susanna Ricco, Rahul Sukthankar +1
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers…
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition
Marius Leordeanu, Rahul Sukthankar
We propose a general multi-class visual recognition model, termed the Classifier Graph, which aims to generalize and integrate ideas from many of today's successful hierarchical re…