Despoina Paschalidou

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Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterDirección de correo verificada de uni-tuebingen.de
Leonidas GuibasProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Luc Van Goolprofessor computer vision ETHZ,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHDirección de correo verificada de insait.ai
Sanja FidlerUniversity of Toronto, NVIDIADirección de correo verificada de cs.toronto.edu
Ali Osman UlusoyGoogleDirección de correo verificada de google.com
Angelos KatharopoulosAppleDirección de correo verificada de apple.com
Gordon WetzsteinStanford University, Electrical Engineering DepartmentDirección de correo verificada de stanford.edu
Simon DonnéUnity TechnologiesDirección de correo verificada de tue.mpg.de
Aseem BehlUniversity of TübingenDirección de correo verificada de uni-tuebingen.de
Karsten KreisSenior Research Scientist, NVIDIADirección de correo verificada de nvidia.com
Maria ShugrinaSenior Research Scientist, NVIDIADirección de correo verificada de nvidia.com
Boxiao PanStanford UniversityDirección de correo verificada de stanford.edu
Sherwin BahmaniUniversity of TorontoDirección de correo verificada de cs.toronto.edu
Amlan KarNVIDIA, University of TorontoDirección de correo verificada de cs.toronto.edu
Mikaela Angelina UyStanford UniversityDirección de correo verificada de stanford.edu
William ShenStanford UniversityDirección de correo verificada de stanford.edu
Zhen WangUniversity of California, Los AngelesDirección de correo verificada de ucla.edu
Konstantinos TertikasNational and Kapodistrian University of AthensDirección de correo verificada de di.uoa.gr
Yannis AvrithisInstitute of Advanced Research in Artificial Intelligence (IARAI), AustriaDirección de correo verificada de avrithis.net
Ioannis EmirisAthena Research Center; and National & Kapodistrian University of AthensDirección de correo verificada de di.uoa.gr

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Despoina Paschalidou

Stanford University

Dirección de correo verificada de stanford.edu - Página principal

Computer Vision Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	171	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	121	2019
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	106	2020
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	99	2018
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	88	2021
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	73	2021
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	21	2023
3d-aware video generation S Bahmani, JJ Park, D Paschalidou, H Tang, G Wetzstein, L Guibas, ... Transactions on Machine Learning Research (TMLR), 2022	15	2022
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	14	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	11	2023
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
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
Cad: Photorealistic 3d generation via adversarial distillation Z Wan, D Paschalidou, I Huang, H Liu, B Shen, X Xiang, J Liao, L Guibas arXiv preprint arXiv:2312.06663, 2023	4	2023
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	4*	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	1	2023
CurveCloudNet: Processing Point Clouds with 1D Structure C Stearns, D Rempe, J Liu, A Fu, S Mascha, JJ Park, D Paschalidou, ... arXiv preprint arXiv:2303.12050, 2023	1	2023
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
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation N Ugrinovic, B Pan, G Pavlakos, D Paschalidou, B Shen, J Sanchez-Riera, ... arXiv preprint arXiv:2404.11987, 2024		2024
Learning Deep Models with Primitive-Based Representations D Paschalidou ETH Zurich, 2021		2021
Supplementary Material for 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		2019

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