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ICIP
2005
IEEE
14 years 9 months ago
Using appearance and context for outdoor scene object classification
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
Anna Bosch, Joan Martí, Xavier Muñoz
3DIM
2007
IEEE
14 years 1 months ago
Range Image Segmentation for Modeling and Object Detection in Urban Scenes
We present fast and accurate segmentation algorithms of range images of urban scenes. The utilization of these algorithms is essential as a pre-processing step for a variety of ta...
Cecilia Chao Chen, Ioannis Stamos
ACCV
2007
Springer
14 years 1 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
CVPR
2007
IEEE
14 years 9 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
CVPR
2008
IEEE
14 years 9 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros