429 citations · 880 across the 60 of their papers we have counts for
4 papers · 1 filter
An active search strategy for efficient object class detection
Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari
Object class detectors typically apply a window classifier to all the windows in a large set, either in a sliding window manner or using object proposals. In this paper, we develop…
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…
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…
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation
Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari +1
We present LS-CRF, a new method for very efficient large-scale training of Conditional Random Fields (CRFs). It is inspired by existing closed-form expressions for the maximum like…