Genevieve Patterson
Genevieve Patterson
Head of Applied Research, VSCO
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Cited by
Cited by
Sun attribute database: Discovering, annotating, and recognizing scene attributes
G Patterson, J Hays
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2751-2758, 2012
The sun attribute database: Beyond categories for deeper scene understanding
G Patterson, C Xu, H Su, J Hays
International Journal of Computer Vision 108 (1-2), 59-81, 2014
Coco attributes: Attributes for people, animals, and objects
G Patterson, J Hays
European Conference on Computer Vision, 85-100, 2016
Rnnbow: Visualizing learning via backpropagation gradients in rnns
D Cashman, G Patterson, A Mosca, N Watts, S Robinson, R Chang
IEEE Computer Graphics and Applications 38 (6), 39-50, 2018
Simple modeling and prototype experiments for a new high-thrust low-speed permanent-magnet disk motor
G Patterson, T Koseki, Y Aoyama, K Sako
IEEE Transactions on Industry Applications 47 (1), 65-71, 2010
Tropel: Crowdsourcing detectors with minimal training
G Patterson, G Van Horn, S Belongie, P Perona, J Hays
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (1), 2015
Basic level scene understanding: categories, attributes and structures
J Xiao, J Hays, BC Russell, G Patterson, K Ehinger, A Torralba, A Oliva
Frontiers in psychology 4, 506, 2013
Lean multiclass crowdsourcing
G Van Horn, S Branson, S Loarie, S Belongie, P Perona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Deepminer: Discovering interpretable representations for mammogram classification and explanation
J Wu, B Zhou, D Peck, S Hsieh, V Dialani, L Mackey, G Patterson
arXiv preprint arXiv:1805.12323, 2018
Crowd-guided ensembles: How can we choreograph crowd workers for video segmentation?
A Kaspar, G Patterson, C Kim, Y Aksoy, W Matusik, M Elgharib
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018
Dynamics of Fluids and Plasmas
GS Patterson, S Corrsin
Academic, New York, 1966
Expert identification of visual primitives used by CNNs during mammogram classification
J Wu, D Peck, S Hsieh, V Dialani, CD Lehman, B Zhou, V Syrgkanis, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752T, 2018
Bootstrapping fine-grained classifiers: Active learning with a crowd in the loop
G Patterson, G Van, H Serge, B Pietro, PJ Hays
The physician assistant in primary care: a proposal for British Columbia’s health care system
I Brethour, G Carlson, G Patterson, C Sun, T Williams
Victoria, BC: BC Ministry of Health, 1994
Humor in word embeddings: cockamamie gobbledegook for nincompoops
L Gultchin, G Patterson, N Baym, N Swinger, A Kalai
International Conference on Machine Learning, 2474-2483, 2019
Visual state feedback digital control of a linear synchronous motor using generic video-camera signal
T Koseki, G Patterson, T Suzuki
2008 International Conference on Electrical Machines and Systems, 1095-1100, 2008
The SUN Attribute Database: Organizing Scenes by Affordances, Materials, and Layout
G Patterson, J Hays
Visual Attributes, 269-297, 2017
Using humans to build mid-level features
G Patterson, TY Lin, J Hays, S Diego
IEEE Conf. on Computer Vision and Pattern Recognition Workshop 44, 2013
Modeling and Prototype Experiments for a New High-Thrust, Low-Speed Permanent Magnet Synchronous Motor
JS Shin, G Patterson, K Sato, K Sako, T Koseki, Y Aoyama
The 10th University of Tokyo-SNU Joint Seminar on Electrical Engineering, 2010
Genevieve Patterson
G Patterson, G Van Horn, S Belongie, P Perona, J Hays, BFG Classiers, ...
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