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CVPR
1998
IEEE
16 years 8 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
CVPR
2007
IEEE
16 years 8 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele
CVPR
2007
IEEE
16 years 8 months ago
Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches
Object-based segmentation is a challenging topic. Most of the previous algorithms focused on segmenting a single or a small set of objects. In this paper, the multiple class objec...
Lin Yang, Peter Meer, David J. Foran
CVPR
2008
IEEE
16 years 8 months ago
Action recognition by learning mid-level motion features
This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches...
Alireza Fathi, Greg Mori
ICCV
2007
IEEE
16 years 8 months ago
A Matte-less, Variational Approach to Automatic Scene Compositing
In this paper, we consider the problem of compositing a scene from multiple images. Multiple images, for example, can be obtained by varying the exposure of the camera, by changin...
Shanmuganathan Raman, Subhasis Chaudhuri