Eric Tzeng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Item Recommendation

Pairwise Constraints

Activity Detection

Domain Adaptation

Top Venues

ICLR (Workshop)

Publications

Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk
Large-scale Reinforcement Learning for Diffusion Models. CoRR (2024)
Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell
Revisiting Few-shot Activity Detection with Class Similarity Control. CoRR (2020)
Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk
Toward Transformer-Based Object Detection. CoRR (2020)
Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg
Learning a Unified Embedding for Visual Search at Pinterest. CoRR (2019)
Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros
Unsupervised Domain Adaptation through Self-Supervision. CoRR (2019)
Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg
Learning a Unified Embedding for Visual Search at Pinterest. KDD (2019)
Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic
Semantic Bottleneck Scene Generation. CoRR (2019)
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML (2018)
Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell
Adapting to Continuously Shifting Domains. ICLR (Workshop) (2018)
Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. CoRR (2018)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
Adversarial Discriminative Domain Adaptation. CVPR (2017)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) (2017)
Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell
Visual Discovery at Pinterest. CoRR (2017)
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
Adversarial Discriminative Domain Adaptation. CoRR (2017)
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR (2017)
Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell
Visual Discovery at Pinterest. WWW (Companion Volume) (2017)
Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17 (2016)
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR (2016)
Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
Simultaneous Deep Transfer Across Domains and Tasks. CoRR (2015)
Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel
Beyond lowest-warping cost action selection in trajectory transfer. ICRA (2015)
Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR (2015)
Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
Simultaneous Deep Transfer Across Domains and Tasks. ICCV (2015)
Dmitry Kislyuk, Yuchen Liu, David C. Liu, Eric Tzeng, Yushi Jing
Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest. CoRR (2015)
Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell
Deep Domain Confusion: Maximizing for Domain Invariance. CoRR (2014)
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
LSDA: Large Scale Detection Through Adaptation. CoRR (2014)
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) (2014)
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML (2014)
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
LSDA: Large Scale Detection through Adaptation. NIPS (2014)
Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel
Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. IROS (2014)
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR (2013)
Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor
User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models. CVPR Workshops (2013)