ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
Clothing is one of the most informative cues of human appearance. In this paper, we propose a novel multi-person clothing segmentation algorithm for highly occluded images. The ke...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
We propose an algorithm for creating superpixels. The major step in our algorithm is simply minimizing two pseudo-boolean functions. The processing time of our algorithm on images...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
Invariant representations in object recognition systems are generally obtained by pooling feature vectors over spatially local neighborhoods. But pooling is not local in the featu...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
Our objective is transfer training of a discriminatively trained object category detector, in order to reduce the number of training images required. To this end we propose three ...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
In this paper we propose a framework for learning a regression function form a set of local features in an image. The regression is learned from an embedded representation that re...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
This paper focuses on the problem of word detection and recognition in natural images. The problem is significantly more challenging than reading text in scanned documents, and h...
ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
In this paper, we describe an interest point detector using edge foci. Unlike traditional detectors that compute interest points directly from image intensities, we use normalized...