429 citations · 880 across the 60 of their papers we have counts for
9 papers · 1 filter
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video
Luca Del Pero, Susanna Ricco, Rahul Sukthankar +1
We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g. tiger, horse). By exploiting the recurring mot…
Automatically selecting inference algorithms for discrete energy minimisation
Paul Henderson, Vittorio Ferrari
Minimisation of discrete energies defined over factors is an important problem in computer vision, and a vast number of MAP inference algorithms have been proposed. Different infer…
Joint Calibration for Semantic Segmentation
Holger Caesar, Jasper Uijlings, Vittorio Ferrari
Semantic segmentation is the task of assigning a class-label to each pixel in an image. We propose a region-based semantic segmentation framework which handles both full and weak s…
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman, Olga Russakovsky, Vittorio Ferrari +1
The semantic image segmentation task presents a trade-off between test time accuracy and training-time annotation cost. Detailed per-pixel annotations enable training accurate mode…
Situational Object Boundary Detection
Jasper Uijlings, Vittorio Ferrari
Intuitively, the appearance of true object boundaries varies from image to image. Hence the usual monolithic approach of training a single boundary predictor and applying it to all…
Joint calibration of Ensemble of Exemplar SVMs
Davide Modolo, Alexander Vezhnevets, Olga Russakovsky +1
We present a method for calibrating the Ensemble of Exemplar SVMs model. Unlike the standard approach, which calibrates each SVM independently, our method optimizes their joint per…