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UCSD Computer Vision

Josh Wills, PhD

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Perception of Reflectance

We design and implement a comprehensive study of the perception of gloss. This is the largest study of its kind to date, and the first to use real material measurements. In addition, we develop a novel Multi-Dimensional Scaling (MDS) algorithm for analyzing pairwise comparisons. The data from the p...

Generalized Non-metric Multidimensional Scaling

Segmentation and Reconstruction from Periodic Motion

A method for detecting and segmenting periodic motion is presented. We exploit periodicity as a cue and detect periodic motion in complex scenes where common methods for motion segmentation are likely to fail. We note that periodic motion detection can be seen as an approximate case of sequence alig...

Motion Segmentation


Wills J., Agarwal S., Kriegman D., Belongie S., "Toward a Perceptual Space for Gloss", ACM Transactions on Graphics, vol. 28, no. 4, pp. 1-15, 2009. [BibTex][pdf]
Agarwal S., Wills J., Cayton L., Lanckriet G., Kriegman D., Belongie S., "Generalized Non-metric Multidimensional Scaling", AISTATS, San Juan, Puerto Rico, 2007. [BibTex][pdf]
Wills J., Agarwal S., Belongie S., "A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion", International Journal of Computer Vision (IJCV), vol. 68, no. 2, pp. 125-143, June, 2006. [BibTex][pdf]
Laptev I., Belongie S., PĂ©rez P., Wills J., "Periodic Motion Detection and Segmentation via Approximate Sequence Alignment", ICCV, vol. 1, Beijing, China, pp. 816-823, 2005. [BibTex]
Belongie S., Wills J., "Structure from Periodic Motion", Workshop on Spatial Coherence for Visual Motion Analysis (SCVMA), Prague, Czech Republic, Springer Verlag, 2004. [BibTex][pdf]
Wills J., Belongie S., "A Feature-based Approach for Determining Dense Long Range Correspondences", European Conference on Computer Vision (ECCV), Prague, Czech Republic, Springer Verlag, 2004. [BibTex][pdf]
Wills J., Agarwal S., Belongie S., "What Went Where", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, Madison, WI, pp. 37-44, 2003. [BibTex][pdf]