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» An Inference Network Approach to Image Retrieval
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ICCV
2007
IEEE
15 years 11 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
CANDC
1999
ACM
15 years 1 months ago
A framework that supports collective creativity in design using visual images
The goal of our research is to develop computer systems that support designers’ collective creativity; such systems support individual creative aspects in design through the use...
Kumiyo Nakakoji, Yasuhiro Yamamoto, Masao Ohira
MM
2009
ACM
203views Multimedia» more  MM 2009»
15 years 2 months ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
83
Voted
ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
85
Voted
ICIP
2001
IEEE
15 years 11 months ago
Indoor vs outdoor classification of consumer photographs using low-level and semantic features
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and ...
Jiebo Luo, Andreas E. Savakis