Sledovat
Kate Saenko
Název
Citace
Citace
Rok
Long-term recurrent convolutional networks for visual recognition and description
J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
82072015
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Computer Vision and Pattern Recognition (CVPR), 2017
60092017
Deep coral: Correlation alignment for deep domain adaptation
B Sun, K Saenko
Computer vision–ECCV 2016 workshops: Amsterdam, the Netherlands, October 8 …, 2016
38672016
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
37062018
Adapting visual category models to new domains
K Saenko, B Kulis, M Fritz, T Darrell
Computer vision–ECCV 2010: 11th European conference on computer vision …, 2010
35992010
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
34142014
Return of Frustratingly Easy Domain Adaptation
B Sun, J Feng, K Saenko
AAAI, 2016
22822016
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
22052019
Sequence to sequence-video to text
S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko
Proceedings of the IEEE international conference on computer vision, 4534-4542, 2015
18512015
Simultaneous deep transfer across domains and tasks
E Tzeng, J Hoffman, T Darrell, K Saenko
Proceedings of the IEEE international conference on computer vision, 4068-4076, 2015
16532015
Rise: Randomized input sampling for explanation of black-box models
V Petsiuk, A Das, K Saenko
arXiv preprint arXiv:1806.07421, 2018
15032018
Translating videos to natural language using deep recurrent neural networks
S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko
NAACL HLT 2015, 2014
12572014
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
H Xu, K Saenko
European Conference on Computer Vision (ECCV), 2016
9572016
R-C3D: Region convolutional 3d network for temporal activity detection
H Xu, A Das, K Saenko
International Conference on Computer Vision (ICCV), 2017
9462017
Visda: The visual domain adaptation challenge
X Peng, B Usman, N Kaushik, J Hoffman, D Wang, K Saenko
arXiv preprint arXiv:1710.06924, 2017
9342017
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
B Kulis, K Saenko, T Darrell
CVPR 2011, 1785-1792, 2011
9172011
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
8352019
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
8262019
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
7342017
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
6712017
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Články 1–20