Eric Tzeng
Eric Tzeng
確認したメール アドレス: eecs.berkeley.edu
タイトル
引用先
引用先
Decaf: A deep convolutional activation feature for generic visual recognition
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
International conference on machine learning, 647-655, 2014
40482014
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
17692017
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
9742014
Cycada: Cycle-consistent adversarial domain adaptation
J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell
International conference on machine learning, 1989-1998, 2018
9522018
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
8652015
LSDA: Large scale detection through adaptation
J Hoffman, S Guadarrama, ES Tzeng, R Hu, J Donahue, R Girshick, ...
Advances in Neural Information Processing Systems, 3536-3544, 2014
2702014
Towards adapting deep visuomotor representations from simulated to real environments
E Tzeng, C Devin, J Hoffman, C Finn, X Peng, S Levine, K Saenko, ...
arXiv preprint arXiv:1511.07111 2 (3), 2015
802015
Adapting deep visuomotor representations with weak pairwise constraints
E Tzeng, C Devin, J Hoffman, C Finn, P Abbeel, S Levine, K Saenko, ...
Algorithmic Foundations of Robotics XII, 688-703, 2020
722020
One-shot adaptation of supervised deep convolutional models
J Hoffman, E Tzeng, J Donahue, Y Jia, K Saenko, T Darrell
arXiv preprint arXiv:1312.6204, 2013
652013
DeCAF: a deep convolutional activation feature for generic visual recognition (2013)
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
arXiv preprint arXiv:1310.1531, 2013
492013
Visual discovery at pinterest
A Zhai, D Kislyuk, Y Jing, M Feng, E Tzeng, J Donahue, YL Du, T Darrell
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
412017
Unsupervised domain adaptation through self-supervision
Y Sun, E Tzeng, T Darrell, AA Efros
arXiv preprint arXiv:1909.11825, 2019
342019
Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects
AX Lee, SH Huang, D Hadfield-Menell, E Tzeng, P Abbeel
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
272014
User-driven geolocation of untagged desert imagery using digital elevation models
E Tzeng, A Zhai, M Clements, R Townshend, A Zakhor
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
232013
Simultaneous deep transfer across domains and tasks
J Hoffman, E Tzeng, T Darrell, K Saenko
Domain Adaptation in Computer Vision Applications, 173-187, 2017
212017
Local class-specific and global image-level generative adversarial networks for semantic-guided scene generation
H Tang, D Xu, Y Yan, PHS Torr, N Sebe
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Large scale visual recognition through adaptation using joint representation and multiple instance learning
J Hoffman, D Pathak, E Tzeng, J Long, S Guadarrama, T Darrell, ...
The Journal of Machine Learning Research 17 (1), 4954-4984, 2016
152016
Adapting to continuously shifting domains
A Bobu, E Tzeng, J Hoffman, T Darrell
122018
Learning a Unified Embedding for Visual Search at Pinterest
A Zhai, HY Wu, E Tzeng, DH Park, C Rosenberg
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
112019
Human curation and convnets: Powering item-to-item recommendations on pinterest
D Kislyuk, Y Liu, D Liu, E Tzeng, Y Jing
arXiv preprint arXiv:1511.04003, 2015
102015
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