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140
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CVPR
2012
IEEE
12 years 12 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
84
Voted
ICCV
2009
IEEE
16 years 2 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth
TVCG
2008
124views more  TVCG 2008»
14 years 9 months ago
Effective visualization of complex vascular structures using a non-parametric vessel detection method
The effective visualization of vascular structures is critical for diagnosis, surgical planning as well as treatment evaluation. In recent work, we have developed an algorithm for ...
Alark Joshi, Xiaoning Qian, Donald P. Dione, Ketan...
CHI
2010
ACM
15 years 4 months ago
Knowing where and when to look in a time-critical multimodal dual task
Human-computer systems intended for time-critical multitasking need to be designed with an understanding of how humans can coordinate and interleave perceptual, memory, and motor ...
Anthony J. Hornof, Yunfeng Zhang, Tim Halverson
CVPR
2011
IEEE
14 years 5 months ago
High Level Describable Attributes for Predicting Aesthetics and Interestingness
With the rise in popularity of digital cameras, the amount of visual data available on the web is growing exponentially. Some of these pictures are extremely beautiful and aesthet...
Sagnik Dhar, Vicente Ordonez, Tamara Berg