Eli Shechtman is a Senior Principal Scientist at the Creative Intelligence Lab, Adobe Research. He received his B.Sc. in Electrical Engineering (cum laude) from Tel-Aviv University in 1996 and his MSc and PhD with honors in Applied Mathematics and Computer Science from the Weizmann Institute of Science in 2003 and 2007. He then joined Adobe and also shared his time as a post-doc at the University of Washington between 2007-2010. He has published over 100 academic publications. Two of his papers were chosen to be published as “Research Highlight” papers in the Communication of the ACM (CACM) journal. He served as a Technical Paper Committee member at SIGGRAPH 2013 and 2014, was an Area Chair at ICCV 2015, 2019 and 2021, CVPR 2015, 2017 and 2020, 2023, ECCV 2022 and an Associate Editor for TPAMI from 2016-2020. He has received several honors and awards, including the Best Paper prize at ECCV 2002, a Best Paper award at WACV 2018, a Best Paper Runner Up at FG 2020 and the Helmholtz “Test of Time Award” at ICCV 2017. His research is in the intersection of computer vision, computer graphics and machine learning. In particular, he is focusing on generative and example-based modeling and editing of visual data. Some of his research can be found in Adobe’s products such as Photoshop’s Content Aware Fill and Smart Portrait Neural Filter, Content Aware Fill for Video in After Effects, Upright in Lightroom and Characterizer in Character Animator as well as in more than 100 issued US patents.
His publications on Google Scholar
Contact: elishe [at] adobe [dot] com
Honors & Awards