charless c. fowlkes - uc irvine

My research is in computational vision, in particular how to combine bottom-up processing, such as image segmentation with top-down information, such as recognition of familiar shapes. I'm interested in how measuring the predictive power of different visual cues can provide general information-theoretic constraints on human visual processing. I also work on developing tools for biological image analysis in order to measure morphology and spatial patterns of gene expression in developing animals.

recent papers:

J. Hengenius, M. Gribskov, A. Rundell, C. Fowlkes, D. Umulis, "Analysis of Gap Gene Regulation in a 3D Organism-Scale Model of the Drosohpila melanogaster Embryo", PLoS ONE 6(11): e26797. doi:10.1371/journal.pone.0026797, 2011. [pdf] [supplement]
Y. Yang, S. Hallman, D. Ramanan, C. Fowlkes, "Layered Object Models for Image Segmentation", TPAMI, in press, 2011. [pdf]
C. Fowlkes, K. Eckenrode, M. Bragdon, M. Meyer, Z. Wunderlich, L. Simirenko, C. Hendriks, S. Keranen, C. Henreiquez, M. Biggin, M. Eisen, A. DePace, "A conserved developmental patterning network produces quantitatively different output in multiple species of Drosophila," PLoS Genetics, 7(10): e1002346, 2011. [pdf]
Y. Chen, A. Gelfand, C. Fowlkes, M. Welling, "Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation", ICCV, Barcelona, Spain, (Nov. 2011) [pdf]
J. Yarkony, A. Ihler, C. Fowlkes. "Planar Cycle Covering Graphs", UAI, Barcelona, Spain (July 2011). [pdf]
P. Arbelaez, M. Maire, C. Fowlkes, J. Malik, "Contour Detection and Hierarchical Image Segmentation", TPAMI, 33(5), 2011. [pdf] [web page]
J. Burge, C. Fowlkes, M. Banks. "Natural-Scene Statistics Predict How the Figure-Ground Cue of Convexity Affects Human Depth Perception", Journal of Neuroscience, 30(21):7269-7280 [pdf] [supplement]