World's Best Scientists 2026 revealed!
Frédo Durand

Frédo Durand

D-Index & Metrics

Computer Science

D-Index
104
Citations
51047
World Ranking
307
National Ranking
168

Research.com Recognitions

  • 2016 - ACM Fellow For contributions to computational photography and computer graphics rendering.
  • 2006 - Fellow of Alfred P. Sloan Foundation

Overview

Frédo Durand is affiliated with MIT in the United States and has made contributions primarily in the field of Computer Science. Their research focus spans several subfields including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, and Signal Processing.

Durand's work covers a range of topics, notably:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Image and Signal Denoising Methods

The scientist has a significant publication record with a particular presence in the venue arXiv (Cornell University) where 20 publications are recorded. Other frequent publication venues include ACM Transactions on Graphics with 5 papers, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Electronics, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recent publications include:

  • "Unbiased warped-area sampling for differentiable rendering" (2020, ACM Transactions on Graphics)
  • "Plug-and-Play Algorithms for Video Snapshot Compressive Imaging" (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "An amphibious artificial vision system with a panoramic visual field" (2022, Nature Electronics)
  • "Learning to generate line drawings that convey geometry and semantics" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention" (2024, International Journal of Computer Vision)

Frequent coauthors collaborating with Durand include William T. Freeman (16 joint works), Tianwei Yin (6), Vincent Sitzmann (5), Joshua B. Tenenbaum (5), and Michaël Gharbi (5).

Durand has received distinctions such as the ACM Fellow in 2016 for contributions to computational photography and computer graphics rendering, as well as recognition as a Fellow of the Alfred P. Sloan Foundation in 2006.

Best Publications

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • Fast bilateral filtering for the display of high-dynamic-range images

    Frédo Durand;Julie Dorsey

  • Learning to predict where humans look

    Tilke Judd;Krista Ehinger;Fredo Durand;Antonio Torralba

  • Image and depth from a conventional camera with a coded aperture

    Anat Levin;Rob Fergus;Frédo Durand;William T. Freeman

  • Eulerian video magnification for revealing subtle changes in the world

    Hao-Yu Wu;Michael Rubinstein;Eugene Shih;John Guttag

  • Understanding and evaluating blind deconvolution algorithms

    Anat Levin;Yair Weiss;Fredo Durand;William T Freeman

  • A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

    Sylvain Paris;Frédo Durand

  • Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

    Jonathan Ragan-Kelley;Connelly Barnes;Andrew Adams;Sylvain Paris

  • Phase-based video motion processing

    Neal Wadhwa;Michael Rubinstein;Frédo Durand;William T. Freeman

  • Flash photography enhancement via intrinsic relighting

    Elmar Eisemann;Frédo Durand

  • Deep bilateral learning for real-time image enhancement

    Michaël Gharbi;Jiawen Chen;Jonathan T. Barron;Samuel W. Hasinoff

  • Non-iterative, feature-preserving mesh smoothing

    Thouis R. Jones;Frédo Durand;Mathieu Desbrun

  • Detecting Pulse from Head Motions in Video

    Guha Balakrishnan;Fredo Durand;John Guttag

  • A fast approximation of the bilateral filter using a signal processing approach

    Sylvain Paris;Frédo Durand

  • Efficient marginal likelihood optimization in blind deconvolution

    Anat Levin;Yair Weiss;Fredo Durand;William T. Freeman

  • What Do Different Evaluation Metrics Tell Us About Saliency Models

    Zoya Bylinskii;Tilke Judd;Aude Oliva;Antonio Torralba

  • A survey of visibility for walkthrough applications

    D. Cohen-Or;Y.L. Chrysanthou;C.T. Silva;F. Durand

  • Learning photographic global tonal adjustment with a database of input / output image pairs

    Vladimir Bychkovsky;Sylvain Paris;Eric Chan;Fredo Durand

  • Real-time edge-aware image processing with the bilateral grid

    Jiawen Chen;Sylvain Paris;Frédo Durand

  • A Benchmark of Computational Models of Saliency to Predict Human Fixations

    Tilke Judd;Frédo Durand;Antonio Torralba

  • Experimental analysis of BRDF models

    Addy Ngan;Frédo Durand;Wojciech Matusik

Frequent Co-Authors

Sylvain Paris
Sylvain Paris Adobe Systems (United States)
George Drettakis
George Drettakis French Institute for Research in Computer Science and Automation - INRIA
Anat Levin
Anat Levin Technion – Israel Institute of Technology
Jaakko Lehtinen
Jaakko Lehtinen Aalto University
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park

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