Behavior recognition via sparse spatio-temporal features P Dollár, V Rabaud, G Cottrell, S Belongie 2005 IEEE international workshop on visual surveillance and performance …, 2005 | 3519 | 2005 |
Understanding convolution for semantic segmentation P Wang, P Chen, Y Yuan, D Liu, Z Huang, X Hou, G Cottrell 2018 IEEE winter conference on applications of computer vision (WACV), 1451-1460, 2018 | 2257 | 2018 |
SUN: A Bayesian framework for saliency using natural statistics L Zhang, MH Tong, TK Marks, H Shan, GW Cottrell Journal of vision 8 (7), 32-32, 2008 | 1557 | 2008 |
A dual-stage attention-based recurrent neural network for time series prediction Y Qin, D Song, H Chen, W Cheng, G Jiang, G Cottrell arXiv preprint arXiv:1704.02971, 2017 | 1442 | 2017 |
Early lateralization and orientation tuning for face, word, and object processing in the visual cortex B Rossion, CA Joyce, GW Cottrell, MJ Tarr Neuroimage 20 (3), 1609-1624, 2003 | 970 | 2003 |
Transmitting and decoding facial expressions ML Smith, GW Cottrell, FA Gosselin, PG Schyns Psychological science 16 (3), 184-189, 2005 | 877 | 2005 |
Connectionist models of face processing: A survey D Valentin, H Abdi, AJ O'Toole, GW Cottrell Pattern recognition 27 (9), 1209-1230, 1994 | 630 | 1994 |
Two fixations suffice in face recognition JH Hsiao, G Cottrell Psychological science 19 (10), 998-1006, 2008 | 543 | 2008 |
Non-linear dimensionality reduction D DeMers, G Cottrell Advances in neural information processing systems 5, 1992 | 540 | 1992 |
Color-to-grayscale: does the method matter in image recognition? C Kanan, GW Cottrell PloS one 7 (1), e29740, 2012 | 499 | 2012 |
Imperceptible, robust, and targeted adversarial examples for automatic speech recognition Y Qin, N Carlini, G Cottrell, I Goodfellow, C Raffel The 36th International Conference on Machine Learning (ICML-2019), 5231-5240, 2019 | 460 | 2019 |
Image compression by back-propagation: An example of extensional programming GW Cottrell Tech. Rep. 8702, 1987 | 436 | 1987 |
Automatic combination of multiple ranked retrieval systems BT Bartell, GW Cottrell, RK Belew SIGIR’94: Proceedings of the Seventeenth Annual International ACM-SIGIR …, 1994 | 432 | 1994 |
EMPATH: Face, emotion, and gender recognition using holons G Cottrell, J Metcalfe Advances in neural information processing systems 3, 1990 | 419 | 1990 |
Fusion via a linear combination of scores CC Vogt, GW Cottrell Information retrieval 1 (3), 151-173, 1999 | 408 | 1999 |
Representing face images for emotion classification C Padgett, G Cottrell Advances in neural information processing systems 9, 1996 | 379 | 1996 |
A connectionist approach to word sense disambiguation GW Cottrell University of Rochester, 1985 | 378 | 1985 |
EMPATH: A neural network that categorizes facial expressions MN Dailey, GW Cottrell, C Padgett, R Adolphs Journal of cognitive neuroscience 14 (8), 1158-1173, 2002 | 346 | 2002 |
SUN: Top-down saliency using natural statistics C Kanan, MH Tong, L Zhang, GW Cottrell Visual cognition 17 (6-7), 979-1003, 2009 | 328 | 2009 |
Learning internal representations from gray-scale images: An example of extensional programing GW Cottrell Ninth Annual Conference of the Cognitive Science Society, Seattle, 1987, 1987 | 315 | 1987 |