Artigos com autorizações de acesso público - Kate SaenkoSaiba mais
1 artigo não disponível publicamente
Guided zoom: Zooming into network evidence to refine fine-grained model decisions
SA Bargal, A Zunino, V Petsiuk, J Zhang, K Saenko, V Murino, S Sclaroff
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 4196 …, 2021
Autorizações: US Department of Defense, US Office of the Director of National Intelligence
96 artigos disponíveis publicamente
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Computer Vision and Pattern Recognition (CVPR), 2017
Autorizações: US National Science Foundation, US Department of Defense
Deep coral: Correlation alignment for deep domain adaptation
B Sun, K Saenko
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
Autorizações: US National Science Foundation
Cycada: Cycle-consistent adversarial domain adaptation
J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, AA Efros, T Darrell
International Conference on Machine Learning 2018, 2018
Autorizações: US National Science Foundation, US Department of Defense
Return of Frustratingly Easy Domain Adaptation
B Sun, J Feng, K Saenko
AAAI, 2016
Autorizações: US National Science Foundation
Moment matching for multi-source domain adaptation
X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Autorizações: US National Science Foundation
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
H Xu, K Saenko
European Conference on Computer Vision (ECCV), 2016
Autorizações: US National Science Foundation
R-C3D: Region convolutional 3d network for temporal activity detection
H Xu, A Das, K Saenko
International Conference on Computer Vision (ICCV), 2017
Autorizações: US National Science Foundation
Strong-weak distribution alignment for adaptive object detection
K Saito, Y Ushiku, T Harada, K Saenko
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Autorizações: US National Science Foundation, US Department of Defense
Semi-supervised domain adaptation via minimax entropy
K Saito, D Kim, S Sclaroff, T Darrell, K Saenko
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Autorizações: US National Science Foundation, US Department of Defense
Learning to reason: End-to-end module networks for visual question answering
R Hu, J Andreas, M Rohrbach, T Darrell, K Saenko
International Conference on Computer Vision (ICCV), 2017
Autorizações: US National Science Foundation, US Department of Defense
Natural language object retrieval
R Hu, H Xu, M Rohrbach, J Feng, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Autorizações: US National Science Foundation
Grasp pose detection in point clouds
A Ten Pas, M Gualtieri, K Saenko, R Platt
The International Journal of Robotics Research 36 (13-14), 1455-1473, 2017
Autorizações: US National Science Foundation, US Department of Defense, US National …
Speaker-follower models for vision-and-language navigation
D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ...
Advances in neural information processing systems 31, 2018
Autorizações: US National Science Foundation, US Department of Defense
Women also snowboard: Overcoming bias in captioning models
LA Hendricks, K Burns, K Saenko, T Darrell, A Rohrbach
Proceedings of the European conference on computer vision (ECCV), 771-787, 2018
Autorizações: US Department of Defense
Modeling relationships in referential expressions with compositional modular networks
R Hu, M Rohrbach, J Andreas, T Darrell, K Saenko
Computer Vision and Pattern Recognition (CVPR), 2017
Autorizações: US National Science Foundation, US Department of Defense
Universal domain adaptation through self supervision
K Saito, D Kim, S Sclaroff, K Saenko
Advances in neural information processing systems 33, 16282-16292, 2020
Autorizações: US National Science Foundation, US Department of Defense
Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning
V Ramanishka, YT Chen, T Misu, K Saenko
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Autorizações: US Department of Defense
A broader study of cross-domain few-shot learning
Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Autorizações: US National Science Foundation, US Department of Defense
Multilevel language and vision integration for text-to-clip retrieval
H Xu, K He, BA Plummer, L Sigal, S Sclaroff, K Saenko
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9062-9069, 2019
Autorizações: US Department of Defense, US Office of the Director of National Intelligence
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