PCPNet Learning Local Shape Properties from Raw Point Clouds P Guerrero, Y Kleiman, M Ovsjanikov, NJ Mitra Computer graphics forum 37 (2), 75-85, 2018 | 351 | 2018 |
Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering O Sidi, O Van Kaick, Y Kleiman, H Zhang, D Cohen-Or Proceedings of the 2011 SIGGRAPH Asia Conference, 1-10, 2011 | 310 | 2011 |
Shape segmentation by approximate convexity analysis OV Kaick, N Fish, Y Kleiman, S Asafi, D Cohen-Or ACM Transactions on Graphics (TOG) 34 (1), 1-11, 2014 | 141 | 2014 |
Time-varying weathering in texture space R Bellini, Y Kleiman, D Cohen-Or ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016 | 45 | 2016 |
SHED: shape edit distance for fine-grained shape similarity Y Kleiman, O van Kaick, O Sorkine-Hornung, D Cohen-Or ACM Transactions on Graphics (TOG) 34 (6), 1-11, 2015 | 38 | 2015 |
Robust structure‐based shape correspondence Y Kleiman, M Ovsjanikov Computer Graphics Forum 38 (1), 7-20, 2019 | 35 | 2019 |
Dynamicmaps: similarity-based browsing through a massive set of images Y Kleiman, J Lanir, D Danon, Y Felberbaum, D Cohen-Or Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015 | 32 | 2015 |
Dynamic maps for exploring and browsing of images Y Kleiman, D Cohen-or US Patent 9,785,655, 2017 | 25 | 2017 |
Dynamic maps for exploring and browsing shapes Y Kleiman, N Fish, J Lanir, D Cohen‐Or Computer Graphics Forum 32 (5), 187-196, 2013 | 21 | 2013 |
Dance to the beat: Synchronizing motion to audio R Bellini, Y Kleiman, D Cohen-Or Computational Visual Media 4, 197-208, 2018 | 16 | 2018 |
Toward semantic image similarity from crowdsourced clustering Y Kleiman, G Goldberg, Y Amsterdamer, D Cohen-Or The Visual Computer 32, 1045-1055, 2016 | 13 | 2016 |
Region-based correspondence between 3d shapes via spatially smooth biclustering M Denitto, S Melzi, M Bicego, U Castellani, A Farinelli, MAT Figueiredo, ... Proceedings of the IEEE International Conference on Computer Vision, 4260-4269, 2017 | 9 | 2017 |
Boosting vfx production with deep learning Y Kleiman, S Pabst, P Nagle ACM SIGGRAPH 2019 Talks, 1-2, 2019 | 6 | 2019 |
Replay: Multi-modal multi-view acted videos for casual holography R Shapovalov, Y Kleiman, I Rocco, D Novotny, A Vedaldi, C Chen, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
Paging with connections: FIFO strikes again L Epstein, Y Kleiman, J Sgall, R van Stee Theoretical computer science 377 (1-3), 55-64, 2007 | 2 | 2007 |
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials Y Siddiqui, T Monnier, F Kokkinos, M Kariya, Y Kleiman, E Garreau, ... arXiv preprint arXiv:2407.02445, 2024 | 1 | 2024 |
Dance to the beat: enhancing dancing performance in video R Bellini, Y Kleiman, D Cohen-Or Computational Visual Media 4, 197-208, 2018 | 1 | 2018 |
Meta 3D Gen R Bensadoun, T Monnier, Y Kleiman, F Kokkinos, Y Siddiqui, M Kariya, ... arXiv preprint arXiv:2407.02599, 2024 | | 2024 |
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects R Bensadoun, Y Kleiman, I Azuri, O Harosh, A Vedaldi, N Neverova, ... arXiv preprint arXiv:2407.02430, 2024 | | 2024 |
Group optimization for multi-attribute visual embedding Q Zeng, W Chen, Z Han, M Shi, Y Kleiman, D Cohen-Or, B Chen, Y Li Visual Informatics 2 (3), 181-189, 2018 | | 2018 |