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My research is in computational vision, in particular how to integrate mechanisms for visual recognition and perceptual organization with 3D scene understanding. We apply these computational models to a variety of problems including development of tools for biological image and shape analysis in neuroscience, animal development and palynology as well as applications to forensic science. |
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recent research highlights:
- S. Kong, C. Fowlkes, "Recurrent Scene Parsing with Perspective Understanding in the Loop", Technical Report, (May 2017)
arXiv:1705.07238
[pdf]
- S. Kong, C. Fowlkes, "Low-rank Bilinear Pooling for Fine-Grained Classification",
to appear, CVPR, (July 2017).
arXiv:1611.05109
[pdf]
- R. Diaz, C. Fowlkes,
"Cluster-wise Ratio Tests for Fast Camera Localization",
to appear,
Int. Workshop on Visual Odometry, CVPR, (July 2017).
arXiv:1612.01689
[pdf]
- S. Wang, S. Wolf, C. Fowlkes, J. Yarkony, "Tracking Objects with
Higher Order Interactions using Delayed Column Generation", to appear,
AISTATS, (April 2017).
arXiv:1512.02413
[pdf]
- S. Wang, C. Fowlkes, "Learning Optimal Parameters for Multi-target
Tracking with Contextual Interactions",
IJCV, 122:484 (2017).
DOI 10.1007/s11263-016-0960-z
arXiv:1610.01394
[pdf]
-
S. Kong, X. Shen, Z. Lin, R. Mech, C. Fowlkes, "Photo Aesthetics Ranking
Network with Attributes and Content Adaptation",ECCV,
Amsterdam, (Oct. 2016).
arXiv:1606.01621
[pdf]
[supplement]
-
G. Ghiasi, C. Fowlkes, "Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation",
ECCV, Amsterdam, (Oct. 2016).
arXiv:1605.02264
[pdf]
[code]
-
S. Kong, S. Punyasena, C. Fowlkes, "Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identiifcation",
CVMI Workshop, Los Vegas, NV, (July 2016).
arXiv:1605.00775
[pdf]
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P. Nguyen, G. Rogez, C. Fowlkes, D. Ramanan, "The Open World of Micro-Videos", Technical Report, (March 2016).
arXiv:1603.09439
[pdf]
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R. Diaz, M. Lee, J. Schubert, C. Fowlkes,
"Lifting GIS Maps into Strong Geometric Context",
WACV Lake Placid, NY (March 2016).
arXiv:1507.03698
[pdf]
- M. Chiang, S. Hallman, A. Cinquin, N. Reyes de Mochel, A. Paz, S.
Kawauchi, A. Calof, K. Cho, C. Fowlkes, O. Cinquin, "Analysis of in
vivo single cell behavior by high throughput, human-in-the-loop
segmentation of three-dimensional images",
BMC Bioinformatics 2015, 16:397
doi:10.1186/s12859-015-0814-7.
[pdf]
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J. Yarkony, C. Fowlkes, "Planar Ultrametrics for Image Segmentation",
NIPS, (Dec. 2015).
arXiv:1507.02407
[pdf]
- 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)
DOI 10.1038/nprot.2015.122
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G. Ghiasi, C. Fowlkes, "Occlusion Coherence: Detecting and Localizing Occluded Faces", Technical Report, (June 2015)
arXiv:1506.08347
[pdf]
[code]
[dataset]
more recent pubs here...
students:
advisees
- Minhaeng Lee (PhD)
- Bailey Kong (PhD)
- Shu Kong (PhD)
- Phuc Nguyen (PhD, co-advised with Deva Ramanan)
- Zhe Wang (PhD)
- Jasmine Bhanushali (MS)
- Shaurya Rathore (BS)
past advisees
- Maharshi Patel (BS, 2017) now at Microsoft
- Golnaz Ghiasi (PhD, 2016) now at Google
- Raúl Díaz (PhD, 2016) now at HP
- Sam Hallman (PhD, 2015) now at Amazon
- Gio Borje (BS, 2015) now at LinkedIn
- 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)
- Ragib Morshed (MS, 2011) now at Adconion
- Sangeeta Jha (MS, 2010) now at Intel
- Tony Tran (MS, 2009) now at Uber
- Dennis Park (MS, 2009) now at Vicarious
- James Supancic (PhD w/Deva Ramanan, 2017)
- Michael Chiang (PhD w/Olivier Cinquin, 2015)
- Hyeoungho Bae (PhD w/Pai Chu, 2013) now at Microsoft
- Yihang Bo (visiting PhD, 2010-2011) now at Beijing Film Academy
awards:
- Helmholtz
Prize in 2015 for significant impact in computer vision with our paper:
"A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics", D. Martin, C. Fowlkes, D. Tal, J. Malik. ICCV 2001 [pdf]
- Marr Prize in 2009 for our paper:
"Discriminative models for multi-class object layout", C. Desai, D. Ramanan, C. Fowlkes. ICCV 2009 [pdf]
- Award for Teaching Excellence in Undergarduate Education, UCI ICS, 2014
- National Science Foundation CAREER Award, 2013
teaching:
Big Data Image Processing and Analysis.
Monday, September 18-22, 2017.
Center for Complex Biological Systems,
University of California, Irvine.
cs 117 : project in computer vision [w09,f13,s15,s17]
ics 162 : modeling and world building [f12,s14,f15]
cs 116 : computational photography and vision [w10,w11,w13,w14,w16,w17]
cs 216 : image understanding [f08,f10,f11,f12,s14,w16,s17]
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]
funding:
My research is currently supported by:
- NSF ( IIS-1618806, IIS-1253538, DBI-1262547 )
- NIH (NIBIB R25:EB022366, OD OT2:OD023848)
- NIST CSAFE: Center for Statistics and Applications in Forensic Evidence
- Research Gift from Adobe
- Hardware donation from NVIDIA
- National Science Foundation DBI-1053036
- Google Research Award
- UC Labs Research Program
service and meetings organized:
- Area chair for CVPR (2010,2012,2016, 2017), ICCV (2015, 2017), ECCV (2016), ISMB (2016)
- Associate editor for CVIU (2016-), IEEE/ACM TCBB (2015-)
- USA-Sino Summer School in Vision, Learning, Pattern Recognition (VLPR 2012) Fudan Unviersity, Shanghai, China July 2012.
- The Eighth Workshop on Perceptual Organization in Computer Vision (POCV 2012), CVPR, Providence, RI.
- Southern California Computer Vision Meetup (2009-2012)


