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Despoina Paschalidou
Despoina Paschalidou
NVIDIA
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2052019
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
1382021
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
1362019
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
1222020
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
1172021
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
1122018
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
392023
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
302023
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
292023
3d-aware video generation
S Bahmani, JJ Park, D Paschalidou, H Tang, G Wetzstein, L Guibas, ...
Transactions on Machine Learning Research (TMLR), 2022
222022
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
122024
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
112018
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
62016
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
32023
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
22024
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
12024
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
12017
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
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