| Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids D Paschalidou, AO Ulusoy, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 196 | 2019 |
| Pointflownet: Learning representations for rigid motion estimation from point clouds A Behl, D Paschalidou, S Donné, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 132 | 2019 |
| Atiss: Autoregressive transformers for indoor scene synthesis D Paschalidou, A Kar, M Shugrina, K Kreis, A Geiger, S Fidler Advances in Neural Information Processing Systems 34, 12013-12026, 2021 | 125 | 2021 |
| Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image D Paschalidou, L van Gool, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 120 | 2020 |
| Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks D Paschalidou, A Katharopoulos, A Geiger, S Fidler Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 114 | 2021 |
| RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials D Paschalidou, AO Ulusoy, C Schmitt, L van Gool, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 110 | 2018 |
| CC3D: Layout-conditioned generation of compositional 3d scenes S Bahmani, JJ Park, D Paschalidou, X Yan, G Wetzstein, L Guibas, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 37 | 2023 |
| Generating part-aware editable 3D shapes without 3D supervision K Tertikas, D Paschalidou, B Pan, JJ Park, MA Uy, I Emiris, Y Avrithis, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Alto: Alternating latent topologies for implicit 3d reconstruction Z Wang, S Zhou, JJ Park, D Paschalidou, S You, G Wetzstein, L Guibas, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| 3d-aware video generation S Bahmani, JJ Park, D Paschalidou, H Tang, G Wetzstein, L Guibas, ... Transactions on Machine Learning Research (TMLR), 2022 | 21 | 2022 |
| Pointflownet: Learning representations for 3d scene flow estimation from point clouds A Behl, D Paschalidou, S Donné, A Geiger arXiv preprint arXiv:1806.02170 2, 2018 | 11 | 2018 |
| Cad: Photorealistic 3d generation via adversarial distillation Z Wan, D Paschalidou, I Huang, H Liu, B Shen, X Xiang, J Liao, L Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| Fast supervised lda for discovering micro-events in large-scale video datasets A Katharopoulos, D Paschalidou, C Diou, A Delopoulos Proceedings of the 24th ACM international conference on Multimedia, 332-336, 2016 | 6 | 2016 |
| COPILOT: Human-environment collision prediction and localization from egocentric videos B Pan, B Shen, D Rempe, D Paschalidou, K Mo, Y Yang, LJ Guibas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5* | 2023 |
| OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation K Kim, M Angelina Uy, D Paschalidou, A Jacobson, LJ Guibas, M Sung Computer Graphics Forum 42 (7), e14963, 2023 | 3 | 2023 |
| MultiPhys: Multi-Person Physics-aware 3D Motion Estimation N Ugrinovic, B Pan, G Pavlakos, D Paschalidou, B Shen, J Sanchez-Riera, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Curvecloudnet: Processing point clouds with 1d structure C Stearns, A Fu, J Liu, JJ Park, D Rempe, D Paschalidou, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Learning local feature aggregation functions with backpropagation A Katharopoulos, D Paschalidou, C Diou, A Delopoulos 2017 25th European Signal Processing Conference (EUSIPCO), 748-752, 2017 | 1 | 2017 |
| ReMatching Dynamic Reconstruction Flow S Oblak, D Paschalidou, S Fidler, M Atzmon arXiv preprint arXiv:2411.00705, 2024 | | 2024 |
| PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers S Li, D Paschalidou, L Guibas arXiv preprint arXiv:2407.13677, 2024 | | 2024 |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
