Recent Publications

2023

  • C. Chen, I. Gkioulekas, A. Levin, Efficient Monte Carlo simulation of spatio-temporal speckles and their correlations, Optica 2023.
  • O. Streicher, I. Cohen. G. Gilboa, BASiS: Batch Aligned Spectral Embedding Space, Proc. CVPR 2023.
  • M. Y. Levi, G.Gilboa, EPiC: Ensemble of Partial Point Clouds for Robust Classification, Proc. ICCV 2023.
  • O. Streicher, G. Gilboa, Graph Laplacian for Semi-supervised Learning, Proc. SSVM 2023.
  • L. Friedman, R. Meir, Adaptive Meta-learning via data dependent PAC-Bayes bounds, Proc. Lifelong Learning Agents 2023.
  • B Carmeli, R Meir, Y Belinkov, Emergent Quantized Communication, Proc. AAAI Artificial Intelligence 2023.
  • E. Nehme, O. Yair and T. Michaeli, Uncertainty quantification via posterior principal components, Proc. NeurIPS 2023.
  • D. Freirich, T. Michaeli and R. Meir, Perceptual Kalman Filetrs: Online state estimation under a perfect perceptual-quality constraint, Proc. NeurIPS 2023.
  • T. Joseph Adrai, G. Ohayon, M. Elad and T. Michaeli, Deep optimal transport: A Practical algorithm for photo-realistic image restoration, Proc. NeurIPS 2023.

2022

  • Yannick Bertschy, Yoav Y. Schechner, Vicarious spaceborne polarimetric camera calibration using solar power stations, SPIE Proc. Defense + Commercial Sensing (2022)
  • Y. Hazan, A. Levi, M. Nagli and A. Rosenthal, Silicon-photonics acoustic detector for in vivo optoacoustic micro-tomography, Nature Communications, Vol. 12, 1488, 2022.

2021

  • A. Levis, Y. Y. Schechner, A. B. Davis, J. Loveridge, Multi-view polarimetric scattering cloud tomography and retrieval of droplet size, Remote Sensing 12:17, 2831 2020
  • A. Golts, Y. Y. Schechner, Image compression optimized for 3D reconstruction by utilizing deep neural networks, Journal of Visual Communication and Image Representation 2021.
  • Birgit Heese, Athena A. Floutsi, Holger Baars, Dietrich Althausen, Julian Hofer, Alina Herzog, Silke Mewes, Martin Radenz, and Yoav Y. Schechner, The vertical aerosol type distribution above Israel – 2 years of lidar observations at the coastal city of Haifa, Atmospheric Chemistry and Physics 2021
  • R. Ronen Y. Attias, Y. Schechner, J. Jaffe, E. Orenstein, Plankton Reconstruction through Robust Statistical Optical Tomography, Journal of the Optical Society of America – A 38:9 2021.
  • R. Ronen, Y. Schechner, E. Eytan, 4D Cloud Scattering Tomography, Proc. IEEE ICCV 2021.
  • Y. Sde Chen, Y. Schechner, V. Holodovsky, E. Eytan, 3DeepCT: Learning Volumetric Scattering Tomography, Proc.  IEEE ICCV 2021
  • A. Naitsat, G. Naitsat and Y. Y. Zeevi, On the Optimization of Geometrical Distortions Induced in Mapping of Objects, Journal of Mathematical Imaging and Vision 2021
  • Ido Cohen, Tom Berkov, Guy Gilboa, Total-Variation Mode Decomposition, Springer LNCS Proc. SSVM 2021
  • Damian Kaliroff , Guy Gilboa, PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching, Proc. BMVC 2021.
  • Eyal Gofer , Shachar Praisler , and Guy Gilboa, Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance, IEEE Transactions on Image Processing, Vol. 30, 2021
  • Jonathan Brokman, Guy Gilboa, Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows, Springer LNCS Proc. SSVM, 2021
  • Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakiss, Guy Gilboa, Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks,  SIAM J. IMAGING SCIENCES, Vol. 14, No. 3, pp. 1114–1148, 2021.
  • EsterHait-Fraenkel, GuyGilboa, Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis, Journal of Visual Communication and Image Representation, Volume 75, 2021.
  • E Hahamovich, S Monin, Y Hazan, A Rosenthal, Single pixel imaging at megahertz switching rates via cyclic Hadamard masks, Nature communications 12 (1), 1-6, 2021.
  • S Monin, E Hahamovich, A Rosenthal, Single-pixel imaging of dynamic objects using multi-frame motion estimation, Scientific reports 11 (1), 1-11, 2021.
  • Dror Freirich, Tomer Michaeli, Ron Meir, A Theory of the Distortion-Perception Tradeoff in Wasserstein Space. Proc. NeurIPS 2021
  • G. Greshler, T. Rott Shaham and T. Michaeli, Catch-A-Waveform: Learning to Generate Audio from a Single Short Example, Proc. NeurIPS 2021
  • I. Kligvasser, T. Rott Shaham, Y. Bahat and T. Michaeli, Deep Self-Dissimilarities as Powerful Visual Fingerprints, Proc. NeurIPS 2021
  • E. Nehme, B. Ferdman, L. E. Weiss, T. Naor, D. Freedman, T. Michaeli and Y. Shechtman, Learning optimal wavefront shaping for multi-channel imaging, Proc. ICCP 2021
  • Y. Bahat and T. Michaeli, What’s in the Image? Explorable Decoding of Compressed Images, Proc. CVPR 2021
  • T. Rott Shaham, M. Gharbi, R. Zhang, E. Shechtman and T. Michaeli, Spatially-adaptive pixelwise networks for fast image translation, Proc. CVPR 2021
  • O. Yair and T. Michaeli, Contrastive divergence learning is a time reversal adversarial game, Proc. ICLR 2021
  • E. Nehme, B. Ferdman, L. E. Weiss, T. Naor, D. Freedman, T. Michaeli and Y. Shechtman, Learning optimal wavefront shaping for multi-channel imaging, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 43, no. 7, 2021.
  • M. Alterman, C. Bar, I. Gkioulekas, A. Levin, Imaging with local speckle intensity correlations: theory and practice, ACM Transactions on Graphics, 2021
  • S.Nemirovsky-Rotman, Z.Friedman, D.Fischer, A.Chernihovsky, K.Sharbel and M.Porat, Simultaneous Compression and Speckle Reduction of Clinical Breast and Fetal Ultrasound Images Using Rate-Fidelity Optimized Coding, Elsevier Ultrasonics, 110, 2021.

2020

  • M. Tzabari and Y. Y. Schechner, Polarized optical-flow gyroscope, Proc. ECCV – European Conference on Computer Vision (2020)
  • T. Loeub, A. Levis, V. Holodovsky, Y. Y Schechner, Montonicity prior for cloud tomography, Proc.  ECCV 2020
  • A. Aides, A. Levis, V. Holodovsky, Y. Y. Schechner, D. Althausen, A. Vainiger, Distributed sky imaging radiometry and tomography, Proc. IEEE ICCP 2020
  • A. Naitsat, Y. Zhu and Y. Y. Zeevi, Adaptive Block Coordinate Descent for Distortion
    Optimization    , Computer Graphics Forum (CGF), Vol. 39, No. 6, pp. 360–376 (2020).
  • Cohen, Ido; Gilboa, Guy, Introducing the p-Laplacian Spectra, Signal processing, Vol.167, p.107281, 2020
  • Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb, Deeply Learned Spectral Total Variation Decomposition, NIPS Proc. Of Neural Information Processing Systems, 2020.
  • E Hahamovich, A Rosenthal, Ultrasound detection arrays via coded Hadamard apertures, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67, 2020.
  • Yuval Harel, Ron Meir, Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints, Neural Computation 32: 1-35, 2020.
  • E. Nehme, D. Freedman, R. Gordon, B. Ferdman, L. E. Weiss, O. Alalouf, T. Naor, R. Orange, T. Michaeli and Y. Shechtman, DeepSTORM3D: Dense three dimensional localization microscopy and PSF design by deep learning, Nature Methods, vol. 17, pp. 734–740, 2020.
  • C. Bar, I. Gkioulekas, A. Levin, Rendering Near-Field Speckle Statistics in Scattering Media, ACM Transactions on Graphics, 2020
  • J. Chang, A. Levin, V. Kumar, A. Sankaranarayanan, Towards Occlusion-Aware Multifocal Displays, ACM Transactions on Graphics, 2020
  • A. Kotwal, A. Levin, I. Gkioulekas, Interferometric Transmission Probing with Coded Mutual Intensity, ACM Transactions on Graphics, 2020.