I work on statistical approaches to perceptual organization in low and mid-level vision. I'm also interested in developing tools for biological image analysis, in particular understanding morphology and spatial patterns of gene expression in developing animals.

news:

• P. Arbelaez, M. Maire, C. Fowlkes and J. Malik. "From Contours to Regions: An Empirical Evaluation" CVPR Miami Beach, FL, (June 2009). [pdf]
  Latest segmentation and boundary detection results here with code here.
  Fast GPU implementation and web service here.
  
  
• The first SoCal Computer Vision Meetup was held at UCI October 3rd.
  
  
• C. Fowlkes, et. al. "A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm," Cell, 133(2), 364-374.   (reviews of this paper also appeared in Developmental Cell and Nature Methods)
  
  
• The initial release of our Drosophila blastoderm 3D gene expression atlas is now online. Take a look around or download the visualization tool and give it a whirl.

teaching:

cs 177 : applications of probability in computer science [spring 08]
cs 216 : image understanding [fall 08]
cs 117 : project in computer vision [winter 08]
cs 295 : research topics in vision [spring 09]

computational vision:

measuring the ecological statistics of perceptual organization: grouping by similarity figure-ground organization boundary detection and segmentation: detecting boundaries in natural images the Berkeley Segmentation Dataset and Benchmark (BSDS) the Berkeley Segmentation Engine (BSE)

computational biology:

computaional analysis of spatial patterns of gene expression in Drosophila: constructing a spatio-temporal atlas of gene expression modeling nuclear movements in blastoderm modeling transcription networks in blastoderm