Research Group | Alumni | Teaching | Publications | CV

I am a professor at EECS Department at UC Berkeley, where I am part of the Berkeley Artificial Intelligence Research Lab (BAIR). Before that, I spent a decade on the faculty of the Robotics Institute at CMU. I am also still remembered in lovely Oxford, where I did a post-doc with Andrew Zisserman. During 2007-2015, I have also been closely collaborating with Team WILLOW at École Normale Supérieure / INRIA in beautiful Paris. Over the years, I was lucky to have some amazing officemates.

Research

For a high-level overview of my research, see my Heidelberg Forum talk on "Self-Supervised Visual Learning and Synthesis", or, for a more technical talk, see "Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder". Or, for something completely different, check out a (somewhat dated) New Yorker article about some of our work. Also, I was doing vision-based robotics before it was cool (see picture on page 23 :).

I (try to) practice Slow Science.
I support Ukraine in its fight against tyranny.

Postdocs

• Yutong Bai (with Jitendra Malik)
• Tyler Bonnen (with Angjoo Kanazawa and Jitendra Malik)
• Aleksander Holynski (with Angjoo Kanazawa)
• Assaf Shocher
• Qianqian Wang (with Angjoo Kanazawa)

Graduate Students

• Amil Dravid
• Yossi Gandelsman
• Toru Lin (with Jitendra Malik)
• Konpat Preechakul
• Renhao Wang

Alumni

• Former PhD Students

  • Dr. Dave Epstein (PhD 2024), now reserach scientist at Anthropic
    PhD Thesis: Disentangled Visual Generative Models
    Soros Fellowship
    
  • Dr. Allan Jabri (PhD 2023), now research scientist at OpenAI
    PhD Thesis: Scalable Binding
    Soros Fellowship
    
  • Dr. Yu Sun (PhD 2023, co-advised with Moritz Hardt), now postdoc at Stanford
    PhD Thesis: Test-Time Training
    
  • Dr. Bill Peebles (PhD 2023), now research scientist at OpenAI
    PhD Thesis: Generative Models of Images and Neural Networks
    NSF Fellowship
    
  • Dr. Tim Brooks (PhD 2023), now research scientist at OpenAI
    PhD Thesis: Generative Models for Image and Long Video Synthesis
    NSF Fellowship
    
  • Dr. Taesung Park (PhD 2021), now research scientist at Adobe
    PhD Thesis: Machine Learning for Deep Image Synthesis
    Samsung Fellowship
    Adobe Fellowship
    
  • Dr. Shiry Ginosar (PhD 2020), now postdoc at UC Berkeley
    PhD Thesis: Modeling Visual Minutiae: Gestures, Styles, and Temporal Patterns
    NSF Fellowship
    Samuel Silver Memorial Scholarship Award
    NSF Computing Innotation Fellow
    
  • Dr. Deepak Pathak (PhD 2019, co-advised with Trevor Darrell), now assistant professor at CMU
    PhD Thesis: Learning to Generalize via Self-Supervised Prediction
    Facebook Fellowship
    NVIDIA Fellowship
    
  • Dr. Tinghui Zhou (PhD 2018), now Engineering Manager at Roblox
    PhD Thesis: Visual Learning beyond Direct Supervision
    
  • Dr. Richard Zhang (PhD 2018), now senior research scientist at Adobe
    PhD Thesis: Image Synthesis for Self-Supervised Visual Representation Learning
    Adobe Fellowship
  • Dr. Jun-Yan Zhu (PhD 2017), now assistant professor at CMU
    PhD Thesis: Learning to Synthesize and Manipulate Natural Images
    Facebook Fellowship
    Recipient of SIGGRAPH Outstanding Doctoral Dissertation Award
  • Dr. Ting-Chun Wang (PhD 2017, co-advised with Ravi Ramamoorthi), now principal research scientist at NVIDIA
    PhD Thesis: Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using Light-Field Cameras
    Berkeley Fellowship
  • Dr. Carl Doersch (MLD, PhD 2016, co-advised with Abhinav Gupta), now senior research scientist at Google DeepMind
    PhD Thesis: Supervision Beyond Manual Annotations for Learning Visual Representations
    Google Graduate Fellow
    NDSEG Graduate Fellow
  • Dr. Santosh Kumar Divvala (Robotics, PhD 2012, co-advised with Martial Hebert), now research scientisit at Allen Institute for Artificial Intelligence (AI2)
    PhD Thesis: Context and Subcategories for Sliding Window Object Recognition
  • Dr. Tomasz Malisiewicz (Robotics, PhD 2011), now Research Scientist Manager at Meta Reality Labs
    PhD Thesis: Exemplar-based Representations for Object Detection, Association and Beyond
    NSF Graduate Fellow
  • Dr. Jean-François Lalonde (Robotics, PhD 2011, co-advised with Srinivas Narasimhan), now professor at Université Laval
    PhD Thesis: Understanding and Recreating Visual Appearance Under Natural Illumination
    Microsoft Graduate Fellow
    Recipient of CMU School of Computer Science Distinguished Dissertation Award
  • Dr. James Hays (CSD, PhD 2009), now associate professor at Georgia Tech
    PhD Thesis: Large Scale Scene Matching for Graphics and Vision
    NSF Graduate Fellow
  • Dr. Derek Hoiem (Robotics, PhD 2007, co-advised with Martial Hebert), now professor at University of Illinois
    PhD Thesis: Seeing the World Behind the Image: Spatial Layout for 3D Scene Understanding
    Microsoft Graduate Fellow
    Recipient of CMU School of Computer Science Distinguished Dissertation Award
    Recipient of ACM Doctoral Dissertation Honorable Mention
    

• Former Postdocs

  • Xiaolong Wang (2019-2020, co-advised with Trevor Darrell), now assistant professor at UC San Diego
  • Lerrel Pinto (2019-2020, co-advised with Pieter Abbeel), now assistant professor at NYU
  • Andrew Owens (2016-2019, co-advised with Jitendra Malik), now assistant professor at University of Michigan
  • Angjoo Kanazawa (2017-2019, co-advised with Jitendra Malik and Trevor Darrell), now assistant professor at UC Berkeley
  • Dinesh Jayaraman (2017-2019, co-advised with Sergey Levine), now assistant professor at UPenn
  • David Fouhey (2016-2018, co-advised with Jitendra Malik), now assistant professor at University of Michigan
  • Judy Hoffman (2017-2018, co-advised with Trevor Darrell), now assistant professor at Georgia Tech
  • Phillip Isola (2015-2017), now associate professor at MIT
  • Philipp Krähenbühl (2014-2016, co-advised with Jitendra Malik), now associate professor at UT Austin
  • Mathieu Aubry (2015), now faculty at École des Ponts ParisTech
  • Yong Jae Lee (2012-2014), now associate professor at University of Wisconsin, Madison
  • Olivier Duchenne (fall 2012), now serial startup founder
  • Ali Farhadi (2011-2012, co-advised with Martial Hebert), now professor at University of Washington
  • Abhinav Gupta (2009-2011, co-advised with Martial Hebert), now professor at CMU

• Former MS/BS Students and Visitors

  • Sheng-Yu Wang (BS 2019); Caroline Chan (BS 2018); Andrew Liu (MS 2018); Tongzhou Wang (BS 2017); Jacob Huh (BS 2016); Krishna Kumar Singh (MS 2015); Kate Rakelly (BS 2015); Achal Dave (BS 2015); Tinghui Zhou (MS 2012); Abhinav Shrivastava (MS 2011); Saurabh Singh (MS 2011); Danielle Millett (BS 2009); Suporn Pongnumkul (BS 2005)
  • Lab Visitors: Sophia Koepke (spring 2024), Yannis Siglidis (summer 2023, Summer 2024), Jan Koenderink (fall 2018), Petr Gronat (spring 2016), Mohammad Rastegari (summer 2015), Qixing Huang (summer 2015), Stefan Lee (summer 2014), Dinesh Jayaraman (summer 2014), Sarah Sachs (summer 2014), Ekaterina Zaytseva (fall 2013), Vincent Delaitre (fall 2012), Jose Ribelles (fall 2007)

Teaching

• CS 180/280A: Intro to Computer Vision and Computational Photography [Fall'24, Fall'23, Fall'22, Fall'21, Fall'20, Sp'20, Fall'18, Fall'17, Fall'16, Fall'15, Fall'12, Fall'11, Fall'10, Sp'10, Fall'08, Fall'07, Fall'06, Fall'05, Fall'04]
• CS 280: Graduate Computer Vision [Sp'24,Sp'23,Sp'21,Sp'19,Sp'18, Sp'17, Sp'16, Fall'13]
• CS 294-192: Visual Scene Understanding (Spring 2022)
• CS 189: Intro to Machine Learning [ Fall'15, Sp'15, Sp'14]
• CS 294-43: Visual Object and Activity Recognition [Fall'14--Fall'18]
• 16-899A: Pixels to Percepts: Human Visual Perception for Vision and Graphics [Spring'11]
• 16-824: Learning-based Methods in Vision [ Sp'12, Sp'09, Sp'07, Sp'06]

Publications

	Diffusion Models as Data Mining Tools Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar in ECCV 2024
	Disentangled 3D Scene Generation with Layout Learning Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski in ICML 2024
	Sequential Modeling Enables Scalable Learning for Large Vision Models Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros in CVPR 2024
	COLMAP-Free 3D Gaussian Splatting Yang Fu, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros, Xiaolong Wang in CVPR 2024 Watch the video
	Interpreting CLIP's Image Representation via Text-Based Decomposition Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt in ICLR 2024 Code available on GitHub
	Idempotent Generative Network Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros in ICLR 2024
	Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry in NeurIPS 2023 Code available on GitHub
	Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski in NeurIPS 2023
	Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang in ICCV 2023
	Rosetta Neurons: Mining the Common Units in a Model Zoo Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher in ICCV 2023 Code available on GitHub
	Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa in ICCV 2023 Code available
	Internet Explorer: Targeted Representation Learning on the Open Web Alex Li, Ellis Brown, Alexei A. Efros, Deepak Pathak in ICML 2023 Code and models are available.
	InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks, Aleksander Holynski, Alexei A. Efros in CVPR 2023 Code and demo available
	Putting People in Their Place: Affordance-Aware Human Insertion into Scenes Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh in CVPR 2023 Code available on GitHub
	GLaD: Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu in CVPR 2023 Code available on GitHub
	Visual Prompting via Image Inpainting Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros in NeurIPS 2022 Code available on GitHub
	Test-Time Training with Masked Autoencoders Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros in NeurIPS 2022 Code available on GitHub
	Generating Long Videos of Dynamic Scenes Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras in NeurIPS 2022 Code and models available on GitHub
	BlobGAN: Spatially Disentangled Scene Representations Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros in ECCV 2022 Watch video Code available on GitHub CoLab Demo
	Hallucinating Pose-Compatible Scenes Tim Brooks, Alexei A. Efros in ECCV 2022 Code and models available on GitHub Watch video
	Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency Tom Monnier, Matt Fisher, Alexei A. Efros, Mathieu Aubry in ECCV 2022 Code available on GitHub Watch Video
	Understanding Collapse in Non-Contrastive Siamese Representation Learning Alex Li, Alexei A. Efros, Deepak Pathak in ECCV 2022
	Studying Bias in GANs through the Lens of Race Vongani Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory in ECCV 2022
	Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu in CVPR'22 Code available on GitHub
	GAN-Supervised Dense Visual Alignment William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba Alexei A. Efros, Eli Shechtman in CVPR'22 Watch video code available on GitHub mixed reality demo
	Learning Pixel Trajectories with Multiscale Contrastive Random Walks Zhangxing Bian, Allan Jabri, Alexei A. Efros, Andrew Owens in CVPR'22 Code available on GitHub
	MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov, Michael Gharbi, Matt Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon in NeurIPS 2021 Code avaiable on GitHub Watch the video
	Video Autoencoder: self-supervised disentanglement of static 3D structure and motion Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang in ICCV 2021 Code avaiable on GitHub Watch the video
	Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang in CVPR 2021 Code avaiable on GitHub Watch the video
	Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang in ICLR 2021 Code available on GitHub Watch the video
	Self-Supervised Policy Adaptation during Deployment Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang in ICLR 2021 Code aviable on GitHub Watch the video
	What Should Not Be Contrastive in Contrastive Learning Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell in ICLR 2021 Watch the video
	Space-Time Correspondence as a Contrastive Random Walk Allan Jabri, Andrew Owens, Alexei A. Efros in Neural Information Processing Systems 2020 Code available on GitHub Watch 12 min video
	Swapping Autoencoder for Deep Image Manipulation Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan (Cynthia) Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang in Neural Information Processing Systems 2020 Watch 3 min video code available on GitHub
	Learning to Factorize and Relight a City Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely in ECCV 2020 Code available on GitHub Watch 90 sec video
	Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu in ECCV 2020 Watch 1 min video code available on GitHub
	RANSAC-Flow: generic two-stage image alignment Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry in ECCV 2020 Watch 90 sec video Results video Code available on GitHub
	The Hessian Penalty: a Weak Prior for Unsupervised Disentanglement William Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba in ECCV 2020 Watch 90 sec video code available on GitHub
	Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt in ICML 2020 Video of ICML talk
	CNN-generated images are surprisingly easy to spot... for now Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros in CVPR 2020 Video of CVPR talk Code avaiable on GitHub
	Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros in NIPS'19 Winner of Virtual Creatures Competition at GECCO 2019. Watch the video Code available on GitHub
	Detecting Photoshopped Faces by Scripting Photoshop Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros in ICCV'19 Watch the video Code avaiable on GitHub
	Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation Arnab Ghosh, Richard Zhang, Puneet Dokaria, Oliver Wang, Alexei A. Efros, Phillip Torr, Eli Shechtman in ICCV'19 Watch the video Code avaiable on GitHub
	Everybody Dance Now Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros in ICCV'19 Watch the video Code avaiable on GitHub Check out the new Sway: Magic Dance iphone app!
	Multi-view Relighting Using a Geometry-Aware Network Julien Philip, Michael Gharbi, Tinghui Zhou, Alexei A. Efros and George Drettakis in SIGGRAPH 2019 Watch project video
	Learning Correspondence from the Cycle-Consistency of Time Xiaolong Wang, Allan Jabri, Alexei A. Efros in CVPR 2019 Watch project video Code available on GitHub
	Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning Xi Shen, Alexei A. Efros, Mathieu Aubry in CVPR 2019 Code available on GitHub
	Large-Scale Study of Curiosity-Driven Learning Yuri Burda, Harri Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei A. Efros in ICLR'19 Watch the video Code avaiable on GitHub
	Time-Agnostic Prediction: Predicting Predictable Video Frames Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine in ICLR'19
	Dataset Distillation Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros unpublished (arXiv, 2018) Code available on GitHub
	Fighting Fake News: Image Splice Detection via Learned Self-Consistency Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros in ECCV'18 Watch the video Code available on GitHub
	Audio-Visual Scene Analysis with Self-Supervised Multisensory Features Andrew Owens, Alexei A. Efros in ECCV'18 Watch the video Code available on GitHub
	Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu, Alexei A. Efros, Stella Yu in ECCV'18 Code available on GitHub
	Learning Category-Specific Mesh Reconstruction from Image Collections Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik in ECCV'18 Watch the video Code avaiable on GitHub
	Investigating Human Priors for Playing Video Games Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros in ICML'18 Watch Arxiv Insights episode covering our paper Get in touch with your inner RL agent: play our super-hard platformer game
	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang in CVPR'18 code available on GitHub
	Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction Shubham Tulsiani, Alexei A. Efros, Jitendra Malik in CVPR'18 code available on GitHub
	From Lifestyle VLOGs to Everyday Interactions David Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik in CVPR'18 dataset available on online
	Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene Shubham Tulsiani, Saurabh Gupta, David Fouhey, Alexei A. Efros, Jitendra Malik in CVPR'18 code available on GitHub
	Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell in ICLR'18 code available on GitHub
	3D Sketching using Multi-View Deep Volumetric Prediction Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau in I3D 2018 Watch video
	Toward Multimodal Image-to-Image Translation Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman in NIPS'17 code available on GitHub Watch video
	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros in ICCV'17 code available on GitHub Watch ICCV spotlight talk
	Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell in ICML'17 code available on GitHub Watch video
	Real-Time User-Guided Image Colorization with Learned Deep Priors Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros in SIGGRAPH'17 code available on GitHub Watch video
	Light Field Video Capture Using a Learning-Based Hybrid Imaging System Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari, Alexei A. Efros, Ravi Ramamoorthi in SIGGRAPH'17 code available on GitHub Watch video
	Image-to-Image Translation with Conditional Adversarial Nets Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros in CVPR'17 code available on GitHub Check out some neat/crazy uses of our software on twitter: #pix2pix
	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Zhang, Phillip Isola, Alexei A. Efros in CVPR'17 code available on GitHub
	Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik in CVPR'17 code available on GitHub
	Learning Shape Abstractions by Assembling Volumetric Primitives Shubham Tulsiani, Hao Su, Leonidas Guibas, Alexei A. Efros, Jitendra Malik in CVPR'17 code available on GitHub
	BUILDUP: Interactive Creation of Urban Scenes from Large Photo Collections Jose Ribelles, Diego Gutierrez, Alexei A. Efros Multimedia Tools and Applications, 2017 Watch the video
	What makes ImageNet good for transfer learning? Jacob Huh, Pulkit Agrawal, Alexei A. Efros in NIPS Workshop on Large Scale Computer Vision Systems (2016)
	Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros in ECCV'16 code available on GitHub
	View Synthesis by Appearance Flow Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, Alexei A. Efros in ECCV'16 code available on GitHub
	Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros in ECCV'16 code available on GitHub
	Learning Dense Correspondence via 3D-guided Cycle Consistency Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, Alexei A. Efros in CVPR'16 code and models available
	Context Encoders: Feature Learning by Inpainting Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros in CVPR'16 code available on GitHub
	SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field Cameras Ting-Chun Wang, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi in CVPR'16
	KrishnaCam: Using a Longitudinal, Single-Person, Egocentric Dataset for Scene Understanding Tasks Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros in WACV 2016 Full egocentric dataset now available!
	Post-Post-Modern Photography: Capture-Time Perceptual Matching For More Faithful Photographs Rachel Albert, Alexei A. Efros UCB Tech Report, 2016
	A Century of Portraits: A Visual Historical Record of American High School Yearbooks Shiry Ginosar, Kate Rakelly, Sarah Sachs, Brian Yin, Alexei A. Efros in ICCV'15 Extreme Imaging Workshop See article in the Washington Post
	Unsupervised Visual Representation Learning by Context Prediction Carl Doersch, Abhinav Gupta, Alexei A. Efros in ICCV'15 code available on GitHub
	Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros in ICCV'15 code available on GitHub
	Learning a Discriminative Model for the Perception of Realism in Composite Images Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros in ICCV'15
	Occlusion-aware Depth Estimation Using Light-field Cameras Ting-Chun Wang, Alexei A. Efros, Ravi Ramamoorthi in ICCV'15
	Unifying Color and Texture Transfer for Predictive Appearance Manipulation Fumio Okura, Kenneth Vanhoey, Adrien Bousseau, Alexei A. Efros and George Drettakis in EGSR 2015
	FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-wise Correspondences Tinghui Zhou, Yong Jae Lee, Stella Yu, and Alexei A. Efros in CVPR 2015
	Linking past to present: Discovering style in two centuries of architecture Stefan Lee, Nicolas Maisonneuve, David Crandall, Alexei A. Efros, and Josef Sivic in International Conference on Computational Photography (ICCP 2015)
	Mirror Mirror: Crowdsourcing Better Portraits Jun-Yan Zhu, Aseem Agarwala, Alexei A. Efros, Eli Shechtman, Jue Wang in SIGGRAPH Asia 2014 Watch video.
	City Forensics: Using Visual Elements to Predict Non-Visual City Attributes Sean Arietta, Alexei A. Efros, Maneesh Agrawala, Ravi Ramamoorthi in IEEE Transactions on Visualization and Computer Graphics (TVCG 2014) Best Paper Honorable Mention
	Context as Supervisory Signal: Discovering Objects with Predictable Context Carl Doersch, Abhinav Gupta, Alexei A. Efros in ECCV 2014
	AverageExplorer: Interactive Exploration and Alignment of Visual Data Collections Jun-Yan Zhu, Yong Jae Lee, and Alexei A. Efros in SIGGRAPH 2014 Watch the video See article in The New Yorker
	3D Object Manipulation in a Single Photograph using Stock 3D Models Natasha Kholgade, Tomas Simon, Alexei A. Efros, and Yaser Sheikh in SIGGRAPH 2014 Watch the video See article in New York Times
	Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan Russell, Josef Sivic in CVPR 2014 Watch the video
	Style-aware Mid-level Representation for Discovering Visual Connections in Space and Time Yong Jae Lee, Alexei A. Efros, Martial Hebert in ICCV 2013 Watch the presentation Source code available Expanded book chapter
	Mid-Level Visual Element Discovery as Discriminative Mode Seeking Carl Doersch, Abhinav Gupta, Alexei A. Efros in NIPS 2013 Source code available
	What makes Paris look like Paris? Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros in SIGGRAPH 2012 Source code available Watch the video Republished in Communications of the ACM article, with a forward by Noah Snavely and a video.
	Unsupervised Discovery of Mid-Level Discriminative Patches Saurabh Singh, Abhinav Gupta, Alexei A. Efros in ECCV 2012 Source code available
	People Watching: Human Actions as a Cue for Single View Geometry David Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic in ECCV 2012 Watch the video Extended Journal Version in IJCV 2014
	Scene Semantics from Long-term Observation of People Vincent Delaitre, David Fouhey, Ivan Laptev, Josef Sivic Abhinav Gupta, Alexei A. Efros in ECCV 2012
	Dating Historical Color Images Frank Palermo, James Hays, Alexei A. Efros in ECCV 2012 Partial source code available
	Object Instance Sharing by Enhanced Bounding Box Correspondence Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert in BMVC 2012
	Data-driven Visual Similarity for Cross-domain Image Matching Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros in SIGGRAPH Asia 2011 Watch the video
	Ensemble of Exemplar-SVMs for Object Detection and Beyond Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros in ICCV 2011 Source code available ICML'12 invited applications talk (see Extended Abstract)
	From 3D Scene Geometry to Human Workspace Abhinav Gupta, Scott Satkin, Alexei A. Efros, Martial Hebert in CVPR 2011 Watch video
	Unbiased Look at Dataset Bias Antonio Torralba, Alexei A. Efros in CVPR 2011
	Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics Abhinav Gupta, Alexei A. Efros, Martial Hebert in ECCV 2010 ECCV Best Paper Honorable Mention Source code available
	Detecting Ground Shadows in Outdoor Consumer Photographs Jean-François Lalonde, Alexei A. Efros, Srinivasa G. Narasimhan in ECCV 2010 Source code available
	Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships Tomasz Malisiewicz, Alexei A. Efros in NIPS 2009.
	Segmenting Scenes by Matching Image Composites Bryan Russell, Alexei A. Efros, Josef Sivic, Bill Freeman, Andrew Zisserman in NIPS 2009 Source code available
	Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences Jean-François Lalonde, Alexei A. Efros, Srinivasa G. Narasimhan in SIGGRAPH Asia 2009 Source code available Watch the video
	Image Composition for Object Pop-out Hongwen (Henry) Kang, Alexei A. Efros, Takeo Kanade, Martial Hebert Workshop on 3D Representation for Recognition (3dRR-09) (at ICCV 2009)
	Estimating Natural Illumination from a Single Outdoor Image Jean-François Lalonde, Alexei A. Efros, Srinivasa G. Narasimhan in ICCV 2009 (see expanded journal version in IJCV 2012) Source code available
	Image Sequence Geolocation with Human Travel Priors Evangelos Kalogerakis, Olga Vesselova, James Hays, Alexei A. Efros, Aaron Hertzmann in ICCV 2009
	An Empirical Study of Context in Object Detection Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, Martial Hebert in CVPR 2009
	What Does the Sky Tell Us About the Camera? Jean-François Lalonde, Srinivasa G. Narasimhan, Alexei A. Efros. in ECCV 2008 (see expanded journal version, IJCV 2009) Source code available
	Can Similar Scenes help Surface Layout Estimation? Santosh Kumar Divvala, Alexei A. Efros, Martial Hebert in IEEE Workshop on Internet Vision (at CVPR'08)
	Recognition by Association via Learning Per-exemplar Distances Tomasz Malisiewicz, Alexei A. Efros in CVPR 2008. Source code available
	im2gps: estimating geographic information from a single image James Hays, Alexei A. Efros in CVPR 2008. Flickr download code available See interview with Hays on Pittsburgh TV station. And another one. Extended version: Large-Scale Image Geolocalization
	Closing the Loop on Scene Interpretation Derek Hoiem, Alexei A. Efros, Martial Hebert in CVPR 2008. See video.
	Image-based Shaving Minh Hoai Nguyen, Jean-François Lalonde, Alexei A. Efros, Fernando de la Torre in Eurographics 2008.
	Recovering Occlusion Boundaries from a Single Image Derek Hoiem, Andrew Stein, Alexei A. Efros, Martial Hebert in ICCV 2007. (see expanded journal version in IJCV 2011) Source code available
	Using Color Compatibility for Assessing Image Realism Jean-François Lalonde, Alexei A. Efros in ICCV 2007.
	Improving Spatial Support for Objects via Multiple Segmentations Tomasz Malisiewicz, Alexei A. Efros in BMVC 2007.
	Scene Completion using Millions of Photographs James Hays, Alexei A. Efros in SIGGRAPH 2007. Flickr download code available See article on BBC News See also Communications of the ACM article with forward by Marc Levoy Named one of seminal graphics papers
	Photo Clip Art Jean-François Lalonde, Derek Hoiem, Alexei Efros, Carsten Rother, John Winn, Antonio Criminisi in SIGGRAPH 2007. Try the Live Java Demo Watch the video
	Putting Objects in Perspective Derek Hoiem, Alexei A. Efros, Martial Hebert In CVPR 2006. Source code available CVPR Best Paper Award (see also expanded journal version, IJCV 2008)
	Using Multiple Segmentations to Discover Objects and their Extent in Image Collections Bryan Russell, Alexei A. Efros, Josef Sivic, Bill Freeman, Andrew Zisserman in CVPR 2006 Source code available
	Discovering Texture Regularity as a Higher-Order Correspondence Problem James Hays, Marius Leordeanu, Alexei A. Efros, Yanxi Liu in ECCV 2006
	Geometric Context from a Single Image Derek Hoiem, Alexei A. Efros, Martial Hebert In ICCV 2005 (see also expanded journal version, IJCV 2007) Executable available (for non-commerical use only)
	Discovering Objects and their Location in Images Josef Sivic, Bryan Russell, Alexei A. Efros, Andrew Zisserman, Bill Freeman In ICCV 2005 Recepient of the test-of-time Helmholtz Prize
	Automatic Photo Pop-up Derek Hoiem, Alexei A. Efros, Martial Hebert In SIGGRAPH 2005 See video. See article in The Economist
	A Data-Driven Approach to Quantifying Natural Human Motion Liu Ren, Alton Patrick, Alexei A. Efros, Jessica Hodgins. James Rehg. In SIGGRAPH 2005
	Seeing Through Water Alexei A. Efros, Volkan Isler, Jianbo Shi, Mirko Visontai In NIPS 17, 2004 Data available as frames or video
	Recovering Human Body Configurations: Combining Segmentation and Recognition Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra Malik In CVPR 2004
	Recognizing Action at a Distance Alexei A. Efros, Alexander Berg, Greg Mori, Jitendra Malik In ICCV 2003 Watch the video Recepient of the test-of-time Helmholtz Prize
	Image Quilting for Texture Synthesis and Transfer Alexei A. Efros, Bill Freeman In SIGGRAPH 2001 Source code available Named one of seminal graphics papers
	Texture Synthesis by Non-parametric Sampling Alexei A. Efros, Thomas Leung In ICCV 1999 Recepient of the test-of-time Helmholtz Prize

Funding Sources

My research group is funded from a range of sources, including federal, state and other grants, fellowships to students, and industrial gifts. Current funding comes from: ONR MURI, NSF, Toyota Research Institute, and Adobe. From time to time, I also engage in personal consulting activities for government and industry entities. Currently, I am consulting for Adobe (2hr/week).

Curriculum Vitae

Misc.

• My planned absences
• Berkeley Hiking Guide (part of my PhD dissertation)
• Paris Walking, Eating, and Pique-Niquing Map
• My first (and last!) Java program was an Interactive Ray Tracer.
• My photos are on Flickr
• My personal page
• You might be looking for my father, Alexei L. Efros, the physicist
• My baby brother is a lighting and media designer. Check out his webpage.
• A talk I gave about how to be an epicurean in Pittsburgh