Eric Tzeng
Eric Tzeng
Потвърден имейл адрес: eecs.berkeley.edu
Заглавие
Позовавания
Позовавания
Година
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
44812014
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
22872017
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
13232018
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
12222014
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
10172015
LSDA: Large scale detection through adaptation
J Hoffman, S Guadarrama, E Tzeng, R Hu, J Donahue, R Girshick, ...
arXiv preprint arXiv:1407.5035, 2014
3142014
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
872020
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
862015
Unsupervised domain adaptation through self-supervision
Y Sun, E Tzeng, T Darrell, AA Efros
arXiv preprint arXiv:1909.11825, 2019
772019
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
722013
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
462017
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
402013
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
292020
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
292014
Simultaneous deep transfer across domains and tasks
J Hoffman, E Tzeng, T Darrell, K Saenko
Domain Adaptation in Computer Vision Applications, 173-187, 2017
282017
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
252013
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
202016
Adapting to continuously shifting domains
A Bobu, E Tzeng, J Hoffman, T Darrell
182018
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
172019
SPLAT: semantic pixel-level adaptation transforms for detection
E Tzeng, K Burns, K Saenko, T Darrell
arXiv preprint arXiv:1812.00929, 2018
112018
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