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CVPR
2011
IEEE
9 years 2 months ago
Discriminative Image Warping with Attribute Flow
We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-va...
Weiyu Zhang, Praveen Srinivasan, Jianbo Shi
CVPR
2011
IEEE
9 years 2 months ago
Joint Face Alignment with A Generic Deformable Face Model
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
Cong Zhao, Wai-Kuen Cham, Xiaogang Wang
CVPR
2011
IEEE
1506views Computer Vision» more  CVPR 2011»
9 years 3 months ago
What makes an image memorable?
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow of visual information, humans are extremely good...
Phillip Isola, Jianxiong Xiao, Aude Oliva, Antonio...
CVPR
2011
IEEE
9 years 3 months ago
Noise Suppression in Low-Light Images through Joint Denoising and Demosaicing
We address the effects of noise in low-light images in this paper. Color images are usually captured by a sensor with a color filter array (CFA). This requires a demosaicing proc...
Priyam Chatterjee, Neel Joshi, Sing Bing Kang, Yas...
CVPR
2011
IEEE
9 years 3 months ago
Combining Randomization and Discrimination for Fine-Grained Image Categorization
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
Bangpeng Yao, Aditya Khosla, Li Fei-Fei
CVPR
2011
IEEE
9 years 3 months ago
Modeling the joint density of two images under a variety of transformations
We describe a generative model of the relationship between two images. The model is defined as a factored threeway Boltzmann machine, in which hidden variables collaborate to de...
Joshua Susskind, Roland Memisevic, Geoffrey Hinton...
CVPR
2011
IEEE
9 years 3 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
CVPR
2011
IEEE
9 years 3 months ago
Semantic structure from motion
Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed ...
Sid Ying-Ze Bao, Silvio Savarese
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
9 years 4 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
ICPR
2010
IEEE
9 years 4 months ago
Identifying Gender from Unaligned Facial Images by Set Classification
Abstract--Rough face alignments lead to suboptimal performance of face identification systems. In this study, we present a novel approach for identifying genders from facial images...
Wen-Sheng Chu, Chun-Rong Huang, Chu-Song Chen
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