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» Graph-Theoretical Methods in Computer Vision
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APPINF
2003
15 years 8 months ago
Evolving High-Dimensional, Adaptive Camera-based Speed Sensors
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, ...
Ralf Salomon
CVPR
2012
IEEE
13 years 9 months ago
WhittleSearch: Image search with relative attribute feedback
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
Adriana Kovashka, Devi Parikh, Kristen Grauman
CVPR
2012
IEEE
13 years 9 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
CVPR
2012
IEEE
13 years 9 months ago
Multi-attribute spaces: Calibration for attribute fusion and similarity search
Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval. However, fusing multiple attribute scor...
Walter J. Scheirer, Neeraj Kumar, Peter N. Belhume...
ICCV
1998
IEEE
15 years 11 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu