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 | 9286 | 2001 |
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 | 6297 | 2010 |
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 | 3184 | 2004 |
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 | 1796 | 2004 |
Globally-optimal greedy algorithms for tracking a variable number of objects H Pirsiavash, D Ramanan, CC Fowlkes CVPR 2011, 1201-1208, 2011 | 1047 | 2011 |
Discriminative models for multi-class object layout C Desai, D Ramanan, CC Fowlkes International journal of computer vision 95, 1-12, 2011 | 658 | 2011 |
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 | 627 | 2009 |
Laplacian pyramid reconstruction and refinement for semantic segmentation G Ghiasi, CC Fowlkes Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 611 | 2016 |
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 | 583 | 2008 |
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 | 507 | 2016 |
Low-rank bilinear pooling for fine-grained classification S Kong, C Fowlkes Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 417 | 2017 |
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 | 319 | 2019 |
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 | 318 | 2008 |
Multiresolution models for object detection D Park, D Ramanan, C Fowlkes Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 310 | 2010 |
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 | 285 | 2015 |
Do we need more training data? X Zhu, C Vondrick, CC Fowlkes, D Ramanan International Journal of Computer Vision 119 (1), 76-92, 2016 | 274 | 2016 |
Do We Need More Training Data or Better Models for Object Detection?. X Zhu, C Vondrick, D Ramanan, CC Fowlkes BMVC 3 (5), 2012 | 233 | 2012 |
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 | 223 | 2001 |
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 | 213 | 2014 |
Local figure–ground cues are valid for natural images CC Fowlkes, DR Martin, J Malik Journal of vision 7 (8), 2-2, 2007 | 209 | 2007 |