Yoav Y. Schechner

Research interests

We are involved in CloudCT: a space mission to probe small clouds using 3D optical scattering tomography that will run on images taken by a large orbiting formation of nano-satellites. It will seek better understanding of clouds and climate, while pushing computational photgraphy and space-enginering technologies to new frontiers. PIs Yoav Schechner (Technion), Ilan Koren (WIS) and Klaus Schilling (ZfT). Wanted: Students to join this exciting research breakthrough, having interest in any of the following: computer vision, optics, image processing, machine learning, meteorology, climate.

Resulting studies include:

Deep learning in accelerated scattering tomography; 3D atmospheric recovery; medical X-ray CT through scatter; refractive distortions (virtual periscope and turbulence); imaging through turbid media e.g., dehazing and underwater imaging; Spaceborne multiview recovery; computational imaging on the electric grid; illumination multiplexing; 3D shape estimation based on defocus and diffracted-rotated PSFs; separation and reconstruction of semireflections and transparent layers; polarization and multispectral imaging; radiometric self-calibration; overcoming and exploiting lens-flare and random illumination caustics; recovery limits under pointwise degradations; audio-visual, cross-modal analysis.

Some of the studies involve statistical frameworks to achieve blind estimation. Here is a Wordl based on the research page:

What's new?

December 2022

1. Journal paper accepted to AAAS Intelligent Computing, I. Czerninski. Y. Schechner, Path recycling and sorting for efficient cloud tomography.

November 2022

1. Vadim Holodovsky, our senior research associate, won distiguished employee award by TRDF.
2. At the Optica Frontiers in Optics confernce, Roi Ronen recieved in person the JOSA A Emerging Researcher Best Paper Prize for 2021, for our paper R. Ronen, Y. Attias, Y. Y. Schechner, J. S. Jaffe, and E. Orenstein, Plankton reconstruction through robust statistical optical tomography.
3. Paper published in Proc. ECCV'2022, N. Shaul, Y. Y. Schechner, Tomography of turbulence strength based on scintillation imaging
4. Published a journal paper in Atmospheric Measurement Techniques, P. Dandini, C. Cornet, R. Binet, L. Fenouil, V. Holodovsky, Y. Y. Schechner, D. Ricard, and D. Rosenfeld, 3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images.

Summer 2022

1. Published a journal paper in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), R. Ronen, V. Holodovsky, Y. Y. Schechner, ``Variable imaging projection cloud scattering tomography.'' Presented also in IEEE ICCP.
2. Published a journal paper in IEEE Transactions on Geoscience and Remote Sensing, A. Vainiger, O. Shubi, Y. Y. Schechner, Z. Yin , H. Baars, B. Heese, and D. Althausen, ``ALiDAn: Spatiotemporal and Multiwavelength Atmospheric Lidar Data Augmentation.''
3. Published a journal paper in IEEE Transactions on Geoscience and Remote Sensing, M. Tzabari, V. Holodovsky, O. Shubi, E. Eytan, I. Koren, Y. Y. Schechner, ``Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission.''
4. Paper published in Proc. IEEE IGARSS'2022, A. Vainiger, O. Shubi, Y. Y. Schechner, Z. Yin , H. Baars, B. Heese, and D. Althausen, Supervised learning calibration of an atmospheric lidar