Dror Aiger
Dror Aiger is a research scientist at Google from July 2011. Prior to joining Google, he held the position of associate professor of computer science in the laboratory of computer science Gaspard-Monge, the university of Paris-EST and ESIEE Paris. Before that he held a research position in Orbotech LTD. His main areas of interest are computer vision, computational geometry, image processing and computer graphics.
Authored Publications
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Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
International Conference on Computer Vision (ICCV'23), IEEE / CVF (2023) (to appear)
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
Itai Lang
Shai Avidan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Large-scale, real-time visual-inertial localization revisited
Bernhard Zeisl
Michael Bosse
Joel Hesch
Marc Pollefeys
Roland Siegwart
Torsten Sattler
International Journal of Robotics Research, 39(9) (2019)
General techniques for approximate incidences and their application to the camera posing problem
Micha Sharir
Bernhard Zeisl
The 35th International Symposium on Computational Geometry (2019)
Output sensitive algorithms for approximate incidences and their applications
Micha Sharir
Computational Geometry Theory and Applications, 91 (2019), pp. 101666
