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:

• Nature Methods has a review of our recent paper on building gene expression atlases [pdf]

• C. Fowlkes, et. al. "A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm," Cell, 133(2), 364-374.
  
  
• 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.

• C. Fowlkes, D. Martin, J. Malik. "Local Figure/Ground Cues are Valid for Natural Images," Journal of Vision, 7(8):2, 1-9. [pdf]  [dataset]

• American Scientist has an interview on our gene expression imaging project. Also, a review of our recent publications appeared in Nature Reviews Genetics.

• An experiment in building a camera based multitouch display.

teaching:

cs 177 : applications of probability in computer science [s08]
cs 216 : image understanding [f08]
cs 117 : project in computer vision [w08]
cs 295 : research topics in vision [s09]

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