Tight Approximation of Image Matching - Simon Korman; Daniel Reichman 001; Gilad Tsur (CoRR, 2011)

DCSH - Matching Patches in RGBD Images. - Yaron Eshet; Simon Korman; Eyal Ofek; Shai Avidan (ICCV, 2013)

Probably Approximately Symmetric: Fast 3D Symmetry Detection with Global Guarantees. - Simon Korman; Roee Litman; Shai Avidan; Alexander M. Bronstein (CoRR, 2014)

Inverting RANSAC: Global model detection via inlier rate estimation. - Roee Litman; Simon Korman; Alexander M. Bronstein; Shai Avidan (CVPR, 2015)

Peeking Template Matching for Depth Extension. - Simon Korman; Eyal Ofek; Shai Avidan (ICCV, 2015)

Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees. - Simon Korman; Roee Litman; Shai Avidan; Alexander M. Bronstein (Comput. Graph. Forum, 2015)

Testing Pattern-Freeness. - Simon Korman; Daniel Reichman 001 (CoRR, 2016)

Coherency Sensitive Hashing. - Simon Korman; Shai Avidan (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays. - Omri Ben-Eliezer; Simon Korman; Daniel Reichman 001 (ICALP, 2017)

Fast-Match: Fast Affine Template Matching. - Simon Korman; Daniel Reichman 001; Gilad Tsur; Shai Avidan (Int. J. Comput. Vis., 2017)

Latent RANSAC. - Simon Korman; Roee Litman (CVPR, 2018)

OATM: Occlusion Aware Template Matching by Consensus Set Maximization. - Simon Korman; Mark Milam; Stefano Soatto (CVPR, 2018)

Stabilization of generative adversarial networks via noisy scale-space. - Kensuke Nakamura 001; Simon Korman; Byung-Woo Hong (CoRR, 2021)

NAN: Noise-Aware NeRFs for Burst-Denoising. - Naama Pearl; Tali Treibitz; Simon Korman (CVPR, 2022)

The Self-Optimal-Transport Feature Transform. - Daniel Shalam; Simon Korman (CoRR, 2022)

MFSC: Matching by Few-Shot Classification. - Daniel Shalam; Elie Abboud; Roee Litman; Simon Korman (BMVC, 2023)

SeaThru-NeRF: Neural Radiance Fields in Scattering Media. - Deborah Levy; Amit Peleg; Naama Pearl; Dan Rosenbaum; Derya Akkaynak; Simon Korman; Tali Treibitz (CVPR, 2023)

Unsupervised Representation Learning by Balanced Self Attention Matching. - Daniel Shalam; Simon Korman (ECCV (84), 2024)

The Balanced-Pairwise-Affinities Feature Transform. - Daniel Shalam; Simon Korman (ICML, 2024)

Generative adversarial networks via a composite annealing of noise and diffusion. - Kensuke Nakamura 001; Simon Korman; Byung-Woo Hong (Pattern Recognit., 2024)

Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation. - Kensuke Nakamura 001; Bong-Soo Sohn; Simon Korman; Byung-Woo Hong (IEEE Access, 2025)