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» Using collaborative learning for image contrast enhancement
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ICVGIP
2008
13 years 9 months ago
How Much Zoom is the Right Zoom from the Perspective of Super-Resolution?
Constructing a high-resolution (HR) image from lowresolution (LR) image(s) has been a very active research topic recently with focus shifting from multi-frames to learning based s...
Himanshu Arora, Anoop M. Namboodiri
APGV
2004
ACM
143views Visualization» more  APGV 2004»
14 years 1 months ago
Perceiving translucent materials
Many common materials, including fruit, wax and human skin, are somewhat translucent. What makes an object look translucent or opaque? Here we use a recently developed computer gr...
Roland W. Fleming, Henrik Wann Jensen, Heinrich H....
SIGCSE
1998
ACM
131views Education» more  SIGCSE 1998»
13 years 12 months ago
Animation, visualization, and interaction in CS 1 assignments
Programs that use animations or visualizations attract student interest and offer feedback that can enhance different learning styles as students work to master programming and pr...
Owen L. Astrachan, Susan H. Rodger
CVBIA
2005
Springer
14 years 1 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
ICCV
2009
IEEE
13 years 5 months ago
Stereo from flickering caustics
Underwater, natural illumination typically varies strongly temporally and spatially. The reason is that waves on the water surface refract light into the water in a spatiotemporal...
Yohay Swirski, Yoav Y. Schechner, Ben Herzberg, Sh...