Eric Tzeng
Cited by
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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
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
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
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
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
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
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
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
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
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
Unsupervised domain adaptation through self-supervision
Y Sun, E Tzeng, T Darrell, AA Efros
arXiv preprint arXiv:1909.11825, 2019
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
Simultaneous deep transfer across domains and tasks
J Hoffman, E Tzeng, T Darrell, K Saenko
Domain Adaptation in Computer Vision Applications, 173-187, 2017
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
Adapting to continuously shifting domains
A Bobu, E Tzeng, J Hoffman, T Darrell
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
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
SPLAT: semantic pixel-level adaptation transforms for detection
E Tzeng, K Burns, K Saenko, T Darrell
arXiv preprint arXiv:1812.00929, 2018
Beyond lowest-warping cost action selection in trajectory transfer
D Hadfield-Menell, AX Lee, C Finn, E Tzeng, S Huang, P Abbeel
2015 IEEE International Conference on Robotics and Automation (ICRA), 3231-3238, 2015
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