My research is in computational vision, in particular how to integrate mechanisms for visual recognition and perceptual organization. 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 and shape analysis in order to measure morphology and spatial patterns of gene expression in developing animals.
J. Yarkony, C. Fowlkes, "Planar Ultrametrics for Image Segmentation", to appear,
NIPS, Dec. 2015.
- J. B. Treweek, K. Chan, N. Flytzanis, B. Yang, B. Deverman, A. Greenbaum, A.
Lignell, C. Xiao, L. Cai, M. Ladinsky, P. Bjorkman, C. Fowlkes, V. Gradinaru
"Whole-Body Tissue Stabilization and Selective Extractions via Tissue-Hydrogel
Hybrids for High Resolution Intact Circuit Mapping and Phenotyping",
Nature Protocols, 10 (11), 1860-1896, (2015)
S. Wang, C. Fowlkes, "Learning Optimal Parameters for Multi-target Tracking",
G. Ghiasi, C. Fowlkes, "Using segmentation to predict the absence of occluded parts",
R. Diaz, M. Lee, J. Schubert, C. Fowlkes,
"Lifting GIS Maps into Strong Geometric Context"
Technical Report, July 2015
G. Ghiasi, C. Fowlkes, "Occlusion Coherence: Detecting and Localizing Occluded Faces", Technical Report, June 2015
S. Hallman, C. Fowlkes, "Oriented Edge Forests for Boundary Detection",
CVPR, Boston, MA, June 2015.
X. Zhu, C. Vondrick, C. Fowlkes, D. Ramanan, "Do we need more training data?",
IJCV, March 2015
M. Staller, C. Fowlkes, M. Bragdon, J. Estrada, Z. Wunderlich, A. DePace, "A
gene expression atlas of a bicoid-depleted Drosophila embryo reveals
early canalization of cell fate",
Development 142, p 587-596, (2015)
more recent pubs here...
cs 117 : project in computer vision [w09,f13,s15]
ics 162 : modeling and world building [f12,s14,f15]
cs 116 : computational photography and vision [w10,w11,w13,w14,w16]
cs 216 : image understanding [f08,f10,f11,f12,s14,w16]
cs 217 : light and geometry in vision [s10,w12,s15]
cs 295 : research topics in vision [s09,w10,w11]
cs 177 : applications of probability in computer science [s08]
past advisees and collaborators
- Sam Hallman (PhD, 2015) now at Amazon
- Michael Chiang (PhD, 2015)
- Hyeoungho Bae (PhD, 2013) now at Microsoft
- Shaofei Wang (MS, 2013)
- Julian Yarkony (PhD,2012) now at Experian Data Lab
- Matthew Nease (BS, 2012) now at Edmunds
- Shu-Chi Hsu (MS, 2012)
- Yihang Bo (visiting PhD, 2010-2011) now at Beijing Film Academy
- Ragib Morshed (MS, 2011) now at Adconion
- Sangeeta Jha (MS, 2010) now at Intel
- Tony Tran (MS, 2009) now at Bizo
- Dennis Park (MS, 2009) now at Vicarious
My research is currently supported by:
- NSF ( IIS-1253538, DBI-1262547 )
- NIH (NIBIB 1R25EB022366)
- NIST CSAFE: Center for Statistics and Applications in Forensic Evidence
- Research Gift from Adobe
- USA-Sino Summer School in Vision, Learning, Pattern Recognition: VLPR 2012 Fudan Unviersity, Shanghai, China July 2012.
- The Eighth IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (POCV 2012), CVPR 2012, Providence, RI.
- Annual Southern California Computer Vision Meetup