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CVPR
2005
IEEE
16 years 9 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ICCV
2007
IEEE
16 years 9 months ago
Retrieving actions in movies
We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...
Ivan Laptev, Patrick Pérez
ICCV
2005
IEEE
16 years 9 months ago
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization
In this work we deal with the problem of modelling and exploiting the interaction between the processes of image segmentation and object categorization. We propose a novel framewo...
Iasonas Kokkinos, Petros Maragos
ICCV
2003
IEEE
16 years 9 months ago
Integrated Edge and Junction Detection with the Boundary Tensor
The boundaries of image regions necessarily consist of edges (in particular, step and roof edges), corners, and junctions. Currently, different algorithms are used to detect each ...
Ullrich Köthe
ICCV
2003
IEEE
16 years 9 months ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik