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.

news:

• NSF award "CAREER: Combinatorial Inference and Learning for Fusing Recognition and Perceptual Grouping" (IIS-1253538)
  
  
• H. Bae, C. Fowlkes, P. Chou, "Accurate Motion Deblurring using Camera Motion Tracking and Scene Depth", WACV, Clearwater Beach, Florida, (Jan. 2013). [pdf]
  
  
• H. Bae, C. Fowlkes, P. Chou, "Patch Mosaic for Fast Motion Deblurring", ACCV, Daejeon, Korea, (Nov. 2012). [pdf]
  
  
• X. Zhu, C. Vondrick, D. Ramanan, C. Fowlkes, "Do we need more training data or better models for object detection?", BMVC, Surrey, UK (Sept. 2012). [pdf]
  
  
• J. Yarkony, A. Ihler, C. Fowlkes, "Fast Planar Correlation Clustering for Image Segmentation'', ECCV, Firenze, Italy (Oct. 2012). arXiv:1208.0378v1 [extended pdf]
  
  
• I co-organized USA-Sino Summer School in Vision, Learning, Pattern Recognition: VLPR 2012 which took place at Fudan Unviersity, Shanghai, China July 2012.
  
  
• I co-organized The Eighth IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (POCV 2012) which took place at CVPR 2012 in Providence, RI.
  
  
• 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, 34(9):1731-1743. [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]
  
  

teaching:

cs 116 : computational photography and vision [w10,w11,w13]
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ics 162 : modeling and world building [f12]
cs 117 : project in computer vision [w09]
cs 216 : image understanding [f08,f10,f11,f12]
cs 217 : light and geometry in vision [w12,s10]
cs 295 : research topics in vision [s09,w10,w11]
cs 177 : applications of probability in computer science [s08]

students:

advisees

• Raúl Díaz (PhD)
  
• Golnaz Ghiasi (PhD)
  
• Sam Hallman (PhD)
  
• Bailey Kong (PhD)
  
• Shaofei Wang (MS)
  

active collaborators

• Hyeoungho Bae (PhD)
  
• Sholeh Forouzan (PhD)
  
• Xiangxin Zhu (PhD)
  

past advisees

• Julian Yarkony (PhD,2012) now at UC Santa Barbara
  
• Matthew Nease (BS, 2012) now at Edmunds
  
• Shu-Chi Hsu (MS, 2012)
  
• Kuang-Chi Liu
  
• Yihang Bo (visiting PhD, 2010-2011) now at Institute of Automation, CAS
  
• Ragib Morshed (MS, 2011) now at Adconion
  
• Sangeeta Jha (MS, 2010) now at Intel
  
• Tony Tran (MS, 2009) now at Bizo
  

funding:

My research is currently supported by:

• National Science Foundation ( DBI-1053036, IIS-1253538 )
• Google Research Award

previously:

• UC Labs Research Program