| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3439 | 2024 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Face transfer with multilinear models D Vlasic, M Brand, H Pfister, J Popovic ACM SIGGRAPH 2006 Courses, 24-es, 2006 | 898 | 2006 |
| Articulated mesh animation from multi-view silhouettes D Vlasic, I Baran, W Matusik, J Popović Acm Siggraph 2008 papers, 1-9, 2008 | 889 | 2008 |
| Practical motion capture in everyday surroundings D Vlasic, R Adelsberger, G Vannucci, J Barnwell, M Gross, W Matusik, ... ACM transactions on graphics (TOG) 26 (3), 35-es, 2007 | 506 | 2007 |
| Learning shape templates with structured implicit functions K Genova, F Cole, D Vlasic, A Sarna, WT Freeman, T Funkhouser Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 454 | 2019 |
| Unsupervised training for 3d morphable model regression K Genova, F Cole, A Maschinot, A Sarna, D Vlasic, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 396 | 2018 |
| Dynamic shape capture using multi-view photometric stereo D Vlasic, P Peers, I Baran, P Debevec, J Popović, S Rusinkiewicz, ... ACM SIGGRAPH Asia 2009 papers, 1-11, 2009 | 366 | 2009 |
| Video face replacement K Dale, K Sunkavalli, MK Johnson, D Vlasic, W Matusik, H Pfister Proceedings of the 2011 SIGGRAPH Asia conference, 1-10, 2011 | 302 | 2011 |
| Semantic deformation transfer I Baran, D Vlasic, E Grinspun, J Popović ACM SIGGRApH 2009 papers, 1-6, 2009 | 171 | 2009 |
| Biocompatible near-infrared quantum dots delivered to the skin by microneedle patches record vaccination KJ McHugh, L Jing, SY Severt, M Cruz, M Sarmadi, HSN Jayawardena, ... Science translational medicine 11 (523), eaay7162, 2019 | 156 | 2019 |
| Lasr: Learning articulated shape reconstruction from a monocular video G Yang, D Sun, V Jampani, D Vlasic, F Cole, H Chang, D Ramanan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 151 | 2021 |
| Pali-3 vision language models: Smaller, faster, stronger X Chen, X Wang, L Beyer, A Kolesnikov, J Wu, P Voigtlaender, B Mustafa, ... arXiv preprint arXiv:2310.09199, 2023 | 149 | 2023 |
| Autoflow: Learning a better training set for optical flow D Sun, D Vlasic, C Herrmann, V Jampani, M Krainin, H Chang, R Zabih, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 147 | 2021 |
| Temporally coherent completion of dynamic shapes H Li, L Luo, D Vlasic, P Peers, J Popović, M Pauly, S Rusinkiewicz ACM Transactions on Graphics (TOG) 31 (1), 1-11, 2012 | 140 | 2012 |
| Viser: Video-specific surface embeddings for articulated 3d shape reconstruction G Yang, D Sun, V Jampani, D Vlasic, F Cole, C Liu, D Ramanan Advances in Neural Information Processing Systems 34, 19326-19338, 2021 | 112 | 2021 |
| Multi-user cloud parametric feature-based 3D CAD system JK Hirschtick, MR Lauer, SS Harris, PR Chastell, I Baran, L Saksonov, ... US Patent 10,437,938, 2019 | 67 | 2019 |
| System and method for motion capture in natural environments G Vannucci, W Matusik, D Vlasic US Patent 7,628,074, 2009 | 57 | 2009 |
| Differentiable surface rendering via non-differentiable sampling F Cole, K Genova, A Sud, D Vlasic, Z Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |
| Navi: Category-agnostic image collections with high-quality 3d shape and pose annotations V Jampani, KK Maninis, A Engelhardt, A Karpur, K Truong, K Sargent, ... Advances in Neural Information Processing Systems 36, 76061-76084, 2023 | 38 | 2023 |
