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A Practical Transfer Learning Algorithm for Face Verification
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Xudong Cao,David Wipf,Fang Wen,Genquan Duan,Jian Sun
Issue Date:December 2013
pp. 3208-3215
Face verification involves determining whether a pair of facial images belongs to the same or different subjects. This problem can prove to be quite challenging in many important applications where labeled training data is scarce, e.g., family album photo ...
 
Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning
Found in: Computer Vision and Pattern Recognition Workshop
By Joel C. McCall, Mohan M. Trivedi, David Wipf, Bhaskar Rao
Issue Date:June 2005
pp. 59
<p>In this paper we demonstrate a driver intent inference system (DIIS) based on lane positional information, vehicle parameters, and driver head motion. We present robust computer vision methods for identifying and tracking freeway lanes and driver ...
 
Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Satoshi Ikehata,David Wipf,Yasuyuki Matsushita,Kiyoharu Aizawa
Issue Date:September 2014
pp. 1816-1831
Most conventional algorithms for non-Lambertian photometric stereo can be partitioned into two categories. The first category is built upon stable outlier rejection techniques while assuming a dense Lambertian structure for the inliers, and thus performanc...
 
Multi-Observation Blind Deconvolution with an Adaptive Sparse Prior
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Haichao Zhang,David Wipf,Yanning Zhang
Issue Date:August 2014
pp. 1628-1643
This paper describes a robust algorithm for estimating a single latent sharp image given multiple blurry and/or noisy observations. The underlying multi-image blind deconvolution problem is solved by linking all of the observations together via a Bayesian-...
 
Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Haichao Zhang,David Wipf,Yanning Zhang
Issue Date:June 2013
pp. 1051-1058
This paper presents a robust algorithm for estimating a single latent sharp image given multiple blurry and/or noisy observations. The underlying multi-image blind deconvolution problem is solved by linking all of the observations together via a Bayesian-i...
 
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