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» Learning Visual Representations using Images with Captions
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CVPR
2010
IEEE
14 years 5 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei
VISUALIZATION
2002
IEEE
14 years 1 months ago
Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study)
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo
CHI
2009
ACM
14 years 9 months ago
A user study on visualizing directed edges in graphs
Graphs are often visualized using node-link representations: vertices are depicted as dots, edges are depicted as (poly)lines connecting two vertices. A directed edge running from...
Danny Holten, Jarke J. van Wijk
AAAI
2008
13 years 11 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian
VISUALIZATION
1997
IEEE
14 years 1 months ago
Visualization of height field data with physical models and texture photomapping
This paper discusses a unique way to visualize height field data – the use of solid fabricated parts with a photomapped texture to display scalar information. In this process, t...
Dru Clark, Michael J. Bailey