Eric Tzeng
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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
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
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
LSDA: Large scale detection through adaptation
J Hoffman, S Guadarrama, ES Tzeng, R Hu, J Donahue, R Girshick, ...
Advances in neural information processing systems 27, 2014
Unsupervised domain adaptation through self-supervision
Y Sun, E Tzeng, T Darrell, AA Efros
arXiv preprint arXiv:1909.11825, 2019
Toward transformer-based object detection
J Beal, E Kim, E Tzeng, DH Park, A Zhai, D Kislyuk
arXiv preprint arXiv:2012.09958, 2020
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: Proceedings of the Twelfth Workshop …, 2020
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
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
Adapting to continuously shifting domains
A Bobu, E Tzeng, J Hoffman, T Darrell
Simultaneous deep transfer across domains and tasks
J Hoffman, E Tzeng, T Darrell, K Saenko
Domain Adaptation in Computer Vision Applications, 173-187, 2017
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
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
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
Semantic bottleneck scene generation
S Azadi, M Tschannen, E Tzeng, S Gelly, T Darrell, M Lucic
arXiv preprint arXiv:1911.11357, 2019
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
Splat: Semantic pixel-level adaptation transforms for detection
E Tzeng, K Burns, K Saenko, T Darrell
arXiv preprint arXiv:1812.00929, 2018
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