| Kaolin: A Pytorch Library for Accelerating 3D Deep Learning Research CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ... | 107* | |
| Read: Recursive autoencoders for document layout generation AG Patil, O Ben-Eliezer, O Perel, H Averbuch-Elor Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 76 | 2020 |
| Spaghetti: Editing implicit shapes through part aware generation A Hertz, O Perel, R Giryes, O Sorkine-Hornung, D Cohen-Or ACM Transactions on Graphics (TOG) 41 (4), 1-20, 2022 | 72 | 2022 |
| Sked: Sketch-guided text-based 3d editing A Mikaeili, O Perel, M Safaee, D Cohen-Or, A Mahdavi-Amiri Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 67 | 2023 |
| Sape: Spatially-adaptive progressive encoding for neural optimization A Hertz, O Perel, R Giryes, O Sorkine-Hornung, D Cohen-Or Advances in Neural Information Processing Systems 34, 8820-8832, 2021 | 66 | 2021 |
| Can you read me now? content aware rectification using angle supervision A Markovitz, I Lavi, O Perel, S Mazor, R Litman Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 34 | 2020 |
| 3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes N Moenne-Loccoz, A Mirzaei, O Perel, R de Lutio, J Martinez Esturo, ... ACM Transactions on Graphics (TOG) 43 (6), 1-19, 2024 | 19 | 2024 |
| Kaolin wisp: A pytorch library and engine for neural fields research T Takikawa, O Perel, CF Tsang, C Loop, J Litalien, J Tremblay, S Fidler, ... R, 2022 | 17 | 2022 |
| Layout-agnostic clustering-based classification of document keys and values HA Elor, O Anschel, O Perel, A Adam, S Mazor, R Bhotika, S Soatto US Patent 10,872,236, 2020 | 15 | 2020 |
| Automated form understanding via layout agnostic identification of keys and corresponding values A Adam, O Anschel, HA Elor, S Mazor, GS Star, O Perel, TSE Wendy, ... US Patent 10,878,234, 2020 | 10 | 2020 |
| Mesh Draping: Parametrization‐Free Neural Mesh Transfer A Hertz, O Perel, R Giryes, O Sorkine‐Hornung, D Cohen‐Or Computer Graphics Forum 42 (1), 72-85, 2023 | 9* | 2023 |
| Simplicits: Mesh-free, geometry-agnostic elastic simulation V Modi, N Sharp, O Perel, S Sueda, DIW Levin ACM Transactions on Graphics (TOG) 43 (4), 1-11, 2024 | 5 | 2024 |
| Grammar-based automated generation of annotated synthetic form training data for machine learning A Adam, O Anschel, O Perel, GS Star, O Ben-Eliezer, HA Elor, S Mazor, ... US Patent 10,970,530, 2021 | 5 | 2021 |
| Learning Multimodal Affinities for Textual Editing in Images HAE Or Perel, Oron Anschel, Omri Ben-Eliezer, Shai Mazor arXiv e-prints, arXiv:2103.10139, 2021 | 1* | 2021 |
| Generative modeling for 3d objects using neural implicit representations X Yan, O Perel, JR Lucas, T Takikawa, KJ Kreis, M Shugrina, S Fidler, ... US Patent App. 18/356,588, 2025 | | 2025 |
Daniel Cohen-OrProfessor of Computer Science, Tel Aviv UniversityPotvrđena adresa e-pošte na tau.ac.il