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Computer Science

D-Index
108
Citations
129127
World Ranking
248
National Ranking
137

Research.com Recognitions

  • 2016 - ACM Prize in Computing For groundbreaking data-driven approaches to computer graphics and computer vision.
  • 2008 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Alexei A. Efros is affiliated with the University of California, Berkeley in the United States and has contributed extensively to the field of computer science, with a particular focus on computer vision and artificial intelligence. Their research portfolio includes numerous publications and collaborations in areas related to image synthesis, vision recognition, and machine learning techniques.

Efros has published extensively in both journals and conferences, with a significant number of works appearing in arXiv (Cornell University). Other frequent venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and its workshops, as well as lecture notes in computer science collections and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Some recent publications authored or co-authored by Efros include:

  • Dataset Distillation by Matching Training Trajectories, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Swapping Autoencoder for Deep Image Manipulation, 2020, arXiv (Cornell University)
  • Contrastive Learning for Unpaired Image-to-Image Translation, 2020, arXiv (Cornell University)
  • Space-Time Correspondence as a Contrastive Random Walk, 2020, arXiv (Cornell University)
  • What Should Not Be Contrastive in Contrastive Learning, 2020, arXiv (Cornell University)

Collaborations feature prominently in Efros's work, with frequent co-authors including:

  • Jun-Yan Zhu
  • Richard Zhang
  • Mathieu Aubry
  • Trevor Darrell
  • Aleksander Holynski

The primary fields of study for Efros are computer science and its subfields, particularly:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Aerospace Engineering
  • Computational Mechanics

Efros's main research topics encompass a range of advanced topics in computer science and machine learning:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition

Recognition of Efros's contributions includes the ACM Prize in Computing awarded in 2016 for groundbreaking data-driven approaches to computer graphics and computer vision, as well as a fellowship from the John Simon Guggenheim Memorial Foundation in 2008.

Best Publications

  • Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

    Jun-Yan Zhu;Taesung Park;Phillip Isola;Alexei A. Efros

  • Image-to-Image Translation with Conditional Adversarial Networks

    Phillip Isola;Jun-Yan Zhu;Tinghui Zhou;Alexei A. Efros

  • The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

    Richard Zhang;Phillip Isola;Phillip Isola;Alexei A. Efros;Eli Shechtman

  • Context Encoders: Feature Learning by Inpainting

    Deepak Pathak;Philipp Krahenbuhl;Jeff Donahue;Trevor Darrell

  • Texture synthesis by non-parametric sampling

    A.A. Efros;T.K. Leung

  • Colorful Image Colorization

    Richard Yi Zhang;Phillip Isola;Alexei A. Efros

  • Image quilting for texture synthesis and transfer

    Alexei A. Efros;William T. Freeman

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • Unsupervised Visual Representation Learning by Context Prediction

    Carl Doersch;Abhinav Gupta;Alexei A. Efros

  • Unbiased look at dataset bias

    Antonio Torralba;Alexei A. Efros

  • CyCADA: Cycle-Consistent Adversarial Domain Adaptation

    Judy Hoffman;Eric Tzeng;Taesung Park;Jun-Yan Zhu

  • Curiosity-driven Exploration by Self-supervised Prediction

    Deepak Pathak;Pulkit Agrawal;Alexei A. Efros;Trevor Darrell

  • Discovering objects and their location in images

    J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman

  • Generative Visual Manipulation on the Natural Image Manifold

    Jun-Yan Zhu;Philipp Krähenbühl;Eli Shechtman;Alexei A. Efros

  • Putting Objects in Perspective

    D. Hoiem;A.A. Efros;M. Hebert

  • Contrastive Learning for Unpaired Image-to-Image Translation

    Taesung Park;Alexei A. Efros;Richard Zhang;Jun Yan Zhu

  • IM2GPS: estimating geographic information from a single image

    J. Hays;A.A. Efros

  • Ensemble of exemplar-SVMs for object detection and beyond

    Tomasz Malisiewicz;Abhinav Gupta;Alexei A. Efros

  • Scene completion using millions of photographs

    James Hays;Alexei A. Efros

  • Toward Multimodal Image-to-Image Translation

    Jun Yan Zhu;Richard Zhang;Deepak Pathak;Trevor Darrell

  • Recognizing Action at a Distance

    Alexei A. Efros;Alexander C. Berg;Greg Mori;Jitendra Malik

Frequent Co-Authors

Jun-Yan Zhu
Jun-Yan Zhu Carnegie Mellon University
Martial Hebert
Martial Hebert Carnegie Mellon University
Trevor Darrell
Trevor Darrell University of California, Berkeley
Jitendra Malik
Jitendra Malik University of California, Berkeley
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Shubham Tulsiani
Shubham Tulsiani Carnegie Mellon University
Derek Hoiem
Derek Hoiem University of Illinois at Urbana-Champaign
Philipp Krähenbühl
Philipp Krähenbühl The University of Texas at Austin

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