This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages) A major contributor to this article appears to have a close connection with its subject. It may require cleanup to comply with Wikipedia's content policies, particularly neutral point of view. Please discuss further on the talk page. (April 2024) (Learn how and when to remove this message) The topic of this article may not meet Wikipedia's notability guideline for academics. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted.Find sources: "Fredo Durand" – news · newspapers · books · scholar · JSTOR (April 2024) (Learn how and when to remove this message) (Learn how and when to remove this message)

Fredo Durand is a computer scientist at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory (CSAIL), where he helps lead CSAIL's Computer Graphics Group.

He works on both computer graphics and vision, spanning topics such as computational photography, differentiable rendering, compilers for high-performance imaging, and video magnification.

Several of his projects focus on trying to reveal visual signals that are otherwise imperceptible to the human eye. With MIT colleagues he developed a “motion microphone” device that can take silent video of an object and magnify the visual vibrations from the video to recreate the sounds present in the room.[1] He also helped develop a system that can look at short video clips of people sitting still and visual magnify their movement and skin-color changes such that he could measure people's heart-rates,[2] enabling new applications for remote health monitoring.

Another project uses video of shadows on the floor to be able to detect things hidden around the corner,[3] an insight that could help self-driving cars better detect objects in their blind spots. His team's “Interactive Dynamic Video”[4] system lets them test how an object would respond to different kinds of touch based only on a short video clip of it.

He has also created several influential tools for computer graphics. With Saman Amarasinghe and Jonathan Ragan-Kelley he invented a domain-specific language (DSL) called Halide[5] for image processing. Their research showed that Halide offers major speed and performance gains[6] over hand-engineered code, and uses code that is also much easier to read. Halide has received interest from both academic and industry partners, who have incorporated it into products such as the Google Pixel's cameras,[7] Adobe's Photoshop filters and YouTube's video-uploading system.

Durand received his PhD in 1999 from Grenoble Institute of Technology in France, supervised by Claude Puech and George Drettakis.

He co-organized the first Symposium on Computational Photography and Video[8] in 2005, and the first International Conference on Computational Photography[9] in 2009.

Durand received an inaugural Eurographics Young Researcher Award[10] in 2004, an NSF CAREER award[11] in 2005, an inaugural Microsoft Research New Faculty Fellowship[12] in 2005, a Sloan fellowship[13] in 2006, a Spira award for distinguished teaching in 2007, and the ACM SIGGRAPH Computer Graphics Achievement Award[14] in 2016.

References

  1. ^ "The Visual Microphone". mit.edu.
  2. ^ Wu, Hao-Yu; Rubinstein, Michael; Shih, Eugene; Guttag, John; Durand, Frédo; Freeman, William (2012). "Eulerian video magnification for revealing subtle changes in the world". ACM Transactions on Graphics. 31 (4): 1–8. doi:10.1145/2185520.2185561.
  3. ^ "An algorithm for your blind spot | MIT CSAIL". mit.edu.
  4. ^ "Reach in and touch objects in videos with "Interactive Dynamic Video"". mit.edu. 2 August 2016.
  5. ^ https://halide-lang.org. ((cite web)): Missing or empty |title= (help)
  6. ^ "Writing graphics software gets much easier". mit.edu. 2 August 2012.
  7. ^ "Writing Fast and Maintainable Code with Halide —The Pilot Episode". 24 April 2022.
  8. ^ "Symposium on Computational Photography and Video". mit.edu.
  9. ^ "ICCP 2009 News". mit.edu.
  10. ^ http://www.mpi-sb.mpg.de/~liegl/eg-awards/website/eg-awards_main.html. ((cite web)): Missing or empty |title= (help)
  11. ^ "NSF Award Search: Award # 0447561 - CAREER: Transient Signal Processing for Realistic Imagery". nsf.gov.
  12. ^ "Microsoft Research – Emerging Technology, Computer, and Software Research". microsoft.com.
  13. ^ "Archived copy". sloan.org. Archived from the original on 2008-07-14. Retrieved 2024-04-24.((cite web)): CS1 maint: archived copy as title (link)
  14. ^ siggraph.org http://s2016.siggraph.org/content/acm-siggraph-awards. ((cite web)): Missing or empty |title= (help)