| Learning representations and generative models for 3d point clouds P Achlioptas, O Diamanti, I Mitliagkas, L Guibas arXiv preprint arXiv:1707.02392, 2017 | 1568 | 2017 |
| Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes P Achlioptas, A Abdelreheem, F Xia, M Elhoseiny, L Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 247 | 2020 |
| Artemis: Affective language for visual art P Achlioptas, M Ovsjanikov, K Haydarov, M Elhoseiny, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 161 | 2021 |
| Representation learning and adversarial generation of 3d point clouds P Achlioptas, O Diamanti, I Mitliagkas, L Guibas arXiv preprint arXiv:1707.02392 2 (3), 4, 2017 | 97 | 2017 |
| ShapeGlot: Learning language for shape differentiation P Achlioptas, J Fan, R Hawkins, N Goodman, LJ Guibas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 93 | 2019 |
| Neroic: Neural rendering of objects from online image collections Z Kuang, K Olszewski, M Chai, Z Huang, P Achlioptas, S Tulyakov ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022 | 66 | 2022 |
| Composite shape modeling via latent space factorization A Dubrovina, F Xia, P Achlioptas, M Shalah, R Groscot, LJ Guibas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 65 | 2019 |
| Quantized gan for complex music generation from dance videos Y Zhu, K Olszewski, Y Wu, P Achlioptas, M Chai, Y Yan, S Tulyakov European Conference on Computer Vision, 182-199, 2022 | 37 | 2022 |
| Long-tail visual relationship recognition with a visiolinguistic hubless loss S Abdelkarim, P Achlioptas, J Huang, B Li, K Church, M Elhoseiny arXiv preprint arXiv:2004.00436, 2020 | 37* | 2020 |
| Partglot: Learning shape part segmentation from language reference games J Koo, I Huang, P Achlioptas, LJ Guibas, M Sung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Limit shapes–a tool for understanding shape differences and variability in 3d model collections R Huang, P Achlioptas, L Guibas, M Ovsjanikov Computer Graphics Forum 38 (5), 187-202, 2019 | 31 | 2019 |
| DeformSyncNet: Deformation transfer via synchronized shape deformation spaces M Sung, Z Jiang, P Achlioptas, NJ Mitra, LJ Guibas arXiv preprint arXiv:2009.01456, 2020 | 28 | 2020 |
| ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations P Achlioptas, I Huang, M Sung, S Tulyakov, L Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27* | 2023 |
| Two-locus association mapping in subquadratic time P Achlioptas, B Schölkopf, K Borgwardt Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 21 | 2011 |
| Scanents3d: Exploiting phrase-to-3d-object correspondences for improved visio-linguistic models in 3d scenes A Abdelreheem, K Olszewski, HY Lee, P Wonka, P Achlioptas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 20 | 2024 |
| Operatornet: Recovering 3d shapes from difference operators R Huang, MJ Rakotosaona, P Achlioptas, LJ Guibas, M Ovsjanikov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 17 | 2019 |
| LADIS: Language disentanglement for 3D shape editing I Huang, P Achlioptas, T Zhang, S Tulyakov, M Sung, L Guibas arXiv preprint arXiv:2212.05011, 2022 | 11 | 2022 |
| Affection: Learning affective explanations for real-world visual data P Achlioptas, M Ovsjanikov, L Guibas, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9* | 2023 |
| Plotting behind the scenes: Towards learnable game engines W Menapace, A Siarohin, S Lathuilière, P Achlioptas, V Golyanik, E Ricci, ... Computing Research Repository (CoRR), 2023 | 5 | 2023 |
| Stochastic gradient descent in theory and practice P Achlioptas Stanford University, Stanford, CA, 2019 | 5 | 2019 |
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
