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Charless Fowlkes
Charless Fowlkes
Department of Computer Science, University of California, Irvine
Bestätigte E-Mail-Adresse bei ics.uci.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
Proceedings eighth IEEE international conference on computer vision. ICCV …, 2001
97452001
Contour detection and hierarchical image segmentation
P Arbelaez, M Maire, C Fowlkes, J Malik
IEEE transactions on pattern analysis and machine intelligence 33 (5), 898-916, 2010
65812010
Learning to detect natural image boundaries using local brightness, color, and texture cues
DR Martin, CC Fowlkes, J Malik
IEEE transactions on pattern analysis and machine intelligence 26 (5), 530-549, 2004
32492004
Spectral grouping using the nystrom method
C Fowlkes, S Belongie, F Chung, J Malik
IEEE transactions on pattern analysis and machine intelligence 26 (2), 214-225, 2004
18222004
Globally-optimal greedy algorithms for tracking a variable number of objects
H Pirsiavash, D Ramanan, CC Fowlkes
CVPR 2011, 1201-1208, 2011
10632011
Discriminative models for multi-class object layout
C Desai, D Ramanan, CC Fowlkes
International journal of computer vision 95, 1-12, 2011
6672011
From contours to regions: An empirical evaluation
P Arbelaez, M Maire, C Fowlkes, J Malik
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2294-2301, 2009
6352009
Laplacian pyramid reconstruction and refinement for semantic segmentation
G Ghiasi, CC Fowlkes
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
6282016
Using contours to detect and localize junctions in natural images
M Maire, P Arbelaez, C Fowlkes, J Malik
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
5892008
Photo aesthetics ranking network with attributes and content adaptation
S Kong, X Shen, Z Lin, R Mech, C Fowlkes
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
5532016
Low-rank bilinear pooling for fine-grained classification
S Kong, C Fowlkes
Proceedings of the IEEE conference on computer vision and pattern …, 2017
4382017
Task2vec: Task embedding for meta-learning
A Achille, M Lam, R Tewari, A Ravichandran, S Maji, CC Fowlkes, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3512019
A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm
CC Fowlkes, CLL Hendriks, SVE Keränen, GH Weber, O Rübel, ...
Cell 133 (2), 364-374, 2008
3222008
Multiresolution models for object detection
D Park, D Ramanan, C Fowlkes
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
3162010
Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping
JB Treweek, KY Chan, NC Flytzanis, B Yang, BE Deverman, ...
Nature protocols 10 (11), 1860-1896, 2015
2962015
Do we need more training data?
X Zhu, C Vondrick, CC Fowlkes, D Ramanan
International Journal of Computer Vision 119 (1), 76-92, 2016
2942016
Do We Need More Training Data or Better Models for Object Detection?.
X Zhu, C Vondrick, D Ramanan, CC Fowlkes
BMVC 3 (5), 2012
2392012
Efficient spatiotemporal grouping using the nystrom method
C Fowlkes, S Belongie, J Malik
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001
2242001
Occlusion coherence: Localizing occluded faces with a hierarchical deformable part model
G Ghiasi, CC Fowlkes
Proceedings of the IEEE conference on computer vision and pattern …, 2014
2162014
Local figure–ground cues are valid for natural images
CC Fowlkes, DR Martin, J Malik
Journal of vision 7 (8), 2-2, 2007
2122007
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