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Felix Heide
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| Alma mater | University of British Columbia (PhD) Stanford University (Postdoc) |
| Known for | Computational imaging |
| Awards | Alain Fournier Ph.D. Dissertation Award (2016) ACM SIGGRAPH Outstanding Doctoral Dissertation Award (2017) AutoSens Young Engineer of the Year (2020) ACM SIGGRAPH Significant New Researcher Award (2023) |
| Scientific career | |
| Institutions | Stanford University Algolux Princeton University |
| Thesis | Structure-aware Computational Imaging (2016) |
| Doctoral advisor | Wolfgang Heidrich |
| Website | www |
Felix Heide is a German computer scientist working primarily in the fields of computational imaging, computer vision, computer graphics and deep learning. He was the head of the Princeton University Computational Imaging Lab and the Chief Technology Officer at Algolux before it got acquired by Torc Robotics.[1] He now works at Torc Robotics.
Heide received his Msc (Computer Science) from the University of Siegen. In 2016, he received his PhD from the University of British Columbia under the advisement of Professor Wolfgang Heidrich. His doctoral dissertation won the Alain Fournier PhD Dissertation Award for the best Canadian PhD dissertation in computer graphics and the ACM SIGGRAPH outstanding doctoral dissertation award for the best PhD dissertation in computer graphics and interactive techniques. He then attended Stanford University as a postdoctoral scholar.[2][3]
In 2015, Felix Heide co-founded Algolux, a Montreal-based artificial intelligence company developing perception technology. He is now the company Chief Technology Officer.[4]
Heide has co-authored close to 50 publications and has received over 2,600 citations.[5] In 2020, six of his papers were accepted to the Conference on Computer Vision and Pattern Recognition – including three orals. One of them, “Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar” was picked up by numerous publications.[6]
Additionally, he has filed for 16 patents, and 7 of them have been granted as of yet. The last one, “Method and apparatus for joint image processing and perception” was granted in July 2020.[7]
