12 citations · 14 across the 3 of their papers we have counts for
3 papers
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…
Context Forest for efficient object detection with large mixture models
Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
We present Context Forest (ConF), a technique for predicting properties of the objects in an image based on its global appearance. Compared to standard nearest-neighbour techniques…