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Career

· Ph.D Student, University of California, Berkeley2026–
· Researcher, University of California, Berkeley

Publications (31)

Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition · 2017
5,085
cited
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
International Conference on Machine Learning · 2013
5,058
cited
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
International Conference on Machine Learning · 2017
3,194
cited
Deep Domain Confusion: Maximizing for Domain Invariance
Computer Vision and Pattern Recognition · 2014
2,794
cited
Simultaneous Deep Transfer Across Domains and Tasks
IEEE International Conference on Computer Vision · 2015
1,400
cited
LSDA: Large Scale Detection through Adaptation
Neural Information Processing Systems · 2014
337
cited
Unsupervised Domain Adaptation through Self-Supervision
arXiv.org · 2019
250
cited
Toward Transformer-Based Object Detection
arXiv.org · 2020
244
cited
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Workshop on the Algorithmic Foundations of Robotics · 2015
144
cited
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments
arXiv.org · 2015
103
cited
Adapting to Continuously Shifting Domains
International Conference on Learning Representations · 2018
91
cited
One-Shot Adaptation of Supervised Deep Convolutional Models
International Conference on Learning Representations · 2013
82
cited
Visual Discovery at Pinterest
The Web Conference · 2017
82
cited
Learning a Unified Embedding for Visual Search at Pinterest
Knowledge Discovery and Data Mining · 2019
59
cited
Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition
IEEE Robotics and Automation Letters · 2020
34
cited
Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems · 2014
33
cited
User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models
2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops · 2013
32
cited
Semantic Bottleneck Scene Generation
arXiv.org · 2019
31
cited
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
Journal of machine learning research · 2016
18
cited
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
arXiv.org · 2018
16
cited
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Eric Tzeng | Researcher Profile | Sotabase | Sotabase