15 citations · 26 across the 5 of their papers we have counts for
5 papers
A Framework for Symmetric Part Detection in Cluttered Scenes
Tom Lee, Sanja Fidler, Alex Levinshtein +2
The role of symmetry in computer vision has waxed and waned in importance during the evolution of the field from its earliest days. At first figuring prominently in support of bott…
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
Liefeng Bo, Cristian Sminchisescu
We propose a variable decomposition algorithm -greedy block coordinate descent (GBCD)- in order to make dense Gaussian process regression practical for large scale problems. GBCD b…
Learning Random Kernel Approximations for Object Recognition
Eduard Gabriel Băzăvan, Fuxin Li, Cristian Sminchisescu
Approximations based on random Fourier features have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines. By expressing the k…
Generalized Boundaries from Multiple Image Interpretations
Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu
Boundary detection is essential for a variety of computer vision tasks such as segmentation and recognition. In this paper we propose a unified formulation and a novel algorithm th…
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
Joao Carreira, Adrian Ion, Cristian Sminchisescu
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that ti…