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Eric Tzeng

Active 2013–2026

27
Papers
18,254
Citations
19
h-index
20
i10-index

Citations

Citations per year for Eric Tzeng1962: 1 citations1978: 1 citations1981: 1 citations1983: 1 citations1986: 1 citations1998: 1 citations2004: 1 citations2005: 1 citations2006: 4 citations2009: 3 citations2010: 1 citations2012: 2 citations2013: 7 citations2014: 132 citations2015: 337 citations2016: 491 citations2017: 643 citations2018: 933 citations2019: 1,508 citations2020: 1,797 citations2021: 1,693 citations2022: 1,336 citations2023: 1,187 citations2024: 928 citations2025: 551 citations2026: 100 citations1963–1977: no citations, so these years are not shown1979–1980: no citations, so these years are not shown1982: no citations, so this year is not shown1984–1985: no citations, so these years are not shown1987–1997: no citations, so these years are not shown1999–2003: no citations, so these years are not shown2007–2008: no citations, so these years are not shown2011: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,968 citing papers, 33.5% of this breakdownUnited States: 2,289 citing papers, 19.3% of this breakdownUnited Kingdom: 613 citing papers, 5.2% of this breakdownAustralia: 410 citing papers, 3.5% of this breakdownSingapore: 382 citing papers, 3.2% of this breakdownGermany: 370 citing papers, 3.1% of this breakdownHong Kong: 334 citing papers, 2.8% of this breakdownCanada: 309 citing papers, 2.6% of this breakdownSouth Korea: 301 citing papers, 2.6% of this breakdownJapan: 296 citing papers, 2.5% of this breakdownIndia: 287 citing papers, 2.4% of this breakdownItaly: 246 citing papers, 2.1% of this breakdown
0%33.5%Other 17.2%

Institutions

Fields

  • Computer Science76.6%
  • Engineering10.9%
  • Medicine3.6%
  • Neuroscience2.1%
  • Psychology1.3%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Other4.2%

Topics

  • Domain Adaptation and Few-Shot Learning15.6%
  • Multimodal Machine Learning Applications8%
  • Advanced Neural Network Applications5.9%
  • Advanced Image and Video Retrieval Techniques4.7%
  • Human Pose and Action Recognition2.6%
  • COVID-19 diagnosis using AI2.5%
  • Other60.7%

Coauthors

All papers

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  1. Adversarial Discriminative Domain Adaptation

    Authors: Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 5,007

  2. Deep Domain Confusion: Maximizing for Domain Invariance

    Authors: Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell - arXiv (Cornell University), CoRR 2014 cited by 2,355

  3. Simultaneous Deep Transfer Across Domains and Tasks

    Authors: Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko - IEEE International Conference on Computer Vision (ICCV), Domain Adaptation in Computer Vision Applications 2015 cited by 1,226

  4. CyCADA: Cycle-Consistent Adversarial Domain Adaptation

    Authors: Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell - ICML 2018 cited by 3,285

  5. Toward Transformer-Based Object Detection

    Authors: Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk - arXiv (Cornell University), CoRR 2020 cited by 144

  6. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

    Authors: Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell - ICML 2014 cited by 5,096

  7. Large-Scale Reinforcement Learning for Diffusion Models

    Authors: Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk - Lecture notes in computer science, ECCV (63) 2024 cited by 37

  8. Unsupervised Domain Adaptation through Self-Supervision

    Authors: Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros - arXiv (Cornell University), CoRR 2019 cited by 196

  9. Adapting to Continuously Shifting Domains

    Authors: Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell - International Conference on Learning Representations, ICLR (Workshop) 2018 cited by 91

  10. Learning a Unified Embedding for Visual Search at Pinterest

    Authors: Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg - SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 cited by 34

  11. LSDA: Large Scale Detection Through Adaptation

    Authors: Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko - NIPS 2014 cited by 338

  12. Semantic Bottleneck Scene Generation

    Authors: Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic - arXiv (Cornell University), CoRR 2019 cited by 21

  13. Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments

    Authors: Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell - arXiv (Cornell University), CoRR 2015 cited by 77

  14. Visual Discovery at Pinterest

    Authors: Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell - Conference on World Wide Web Companion - WWW '17 Companion, WWW (Companion Volume) 2017 cited by 73

  15. User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models

    Authors: Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor - IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2013 cited by 31

  16. Revisiting Few-shot Activity Detection with Class Similarity Control

    Authors: Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell - arXiv (Cornell University), CoRR 2020 cited by 9

  17. Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest

    Authors: Dmitry Kislyuk, Yuchen Liu, David C. Liu, Eric Tzeng, Yushi Jing - arXiv (Cornell University), CoRR 2015 cited by 5

  18. One-Shot Adaptation of Supervised Deep Convolutional Models

    Authors: Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell - ICLR (Workshop Poster) 2014 cited by 67

  19. Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects

    Authors: Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 cited by 36

  20. Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

    Authors: Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell - Springer proceedings in advanced robotics, WAFR 2016 cited by 81

  21. Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning

    Authors: Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko - J. Mach. Learn. Res. 2016 cited by 21

  22. SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection

    Authors: Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell - arXiv (Cornell University), CoRR 2018 cited by 13

  23. Adversarial Discriminative Domain Adaptation (workshop extended abstract)

    Authors: Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell - International Conference on Learning Representations, ICLR (Workshop) 2017 cited by 7

  24. Beyond lowest-warping cost action selection in trajectory transfer

    Authors: Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel - IEEE International Conference on Robotics and Automation (ICRA) 2015 cited by 4