264 citations · 1.1k across the 53 of their papers we have counts for
4 papers · 2 filters
Joint Training of Generic CNN-CRF Models with Stochastic Optimization
Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng +3
We propose a new CNN-CRF end-to-end learning framework, which is based on joint stochastic optimization with respect to both Convolutional Neural Network (CNN) and Conditional Rand…
Convexity Shape Constraints for Image Segmentation
Loic A. Royer, David L. Richmond, Carsten Rother +2
Segmenting an image into multiple components is a central task in computer vision. In many practical scenarios, prior knowledge about plausible components is available. Incorporati…
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel +3
Analysis-by-synthesis has been a successful approach for many tasks in computer vision, such as 6D pose estimation of an object in an RGB-D image which is the topic of this work. T…
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation
David L. Richmond, Dagmar Kainmueller, Michael Y. Yang +2
We consider the task of pixel-wise semantic segmentation given a small set of labeled training images. Among two of the most popular techniques to address this task are Decision Fo…