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 | 1027 | 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, 59-81, 2014 | 473 | 2014 |
Coco attributes: Attributes for people, animals, and objects G Patterson, J Hays European Conference on Computer Vision, 85-100, 2016 | 130 | 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, 2019 | 66 | 2019 |
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 …, 2015 | 34 | 2015 |
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 | 34 | 2010 |
Deepminer: Discovering interpretable representations for mammogram classification and explanation J Wu, B Zhou, D Peck, S Hsieh, V Dialani, L Mackey, G Patterson PubPub 3 (4), 2021 | 30 | 2021 |
Basic level scene understanding: categories, attributes and structures J Xiao, J Hays, BC Russell, G Patterson, KA Ehinger, A Torralba, A Oliva Frontiers in psychology 4, 506, 2013 | 26 | 2013 |
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, 633-641, 2018 | 21 | 2018 |
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 | 15 | 2019 |
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 | 14 | 2018 |
Dual-wavelength external cavity laser with a sampled grating formed in a silica PLC waveguide for terahertz beat signal generation PN Lee KS, Kim CS, Kim RK, Patterson G., Kolesik M., Moloney JV Applied Physics B, Lasers and Optics 87 (2), 2007 | 11 | 2007 |
A Systematic mapping of artificial intelligence solutions for sustainability challenges in Latin America and the Caribbean J Salas, G Patterson, F de Barros Vidal IEEE Latin America Transactions 20 (11), 2312-2329, 2022 | 9 | 2022 |
Bootstrapping fine-grained classifiers: Active learning with a crowd in the loop G Patterson, GV Horn, S Belongie, P Perona, J Hays Proceedings Neural Information Processing Systems (NIPS) 2013 Crowd Workshops, 2013 | 9 | 2013 |
The FathomNet2023 competition dataset E Orenstein, K Barnard, L Lundsten, G Patterson, B Woodward, K Katija arXiv preprint arXiv:2307.08781, 2023 | 4 | 2023 |
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 | 3 | 2008 |
The SUN attribute database: Organizing scenes by affordances, materials, and layout G Patterson, J Hays Visual Attributes, 269-297, 2017 | 1 | 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 | 1 | 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 | 1 | 2010 |
FathomVerse: A community science dataset for ocean animal discovery G Patterson, J Daniels, B Woodward, K Barnard, G Sainz, L Lundsten, ... arXiv preprint arXiv:2412.01701, 2024 | | 2024 |