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Despoina Paschalidou
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Books and Theses
- 2021
- [b1]Despoina Paschalidou:
Learning Deep Models with Primitive-Based Representations. ETH Zurich, Zürich, Switzerland, 2021
Journal Articles
- 2023
- [j2]Kunho Kim
, Mikaela Angelina Uy
, Despoina Paschalidou
, Alec Jacobson
, Leonidas J. Guibas
, Minhyuk Sung
:
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. Comput. Graph. Forum 42(7) (2023) - [j1]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2023
- [c12]Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou
, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CVPR 2023: 259-270 - [c11]Konstantinos Tertikas, Despoina Paschalidou
, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas:
Generating Part-Aware Editable 3D Shapes without 3D Supervision. CVPR 2023: 4466-4478 - [c10]Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas:
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. ICCV 2023: 5239-5249 - [c9]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi:
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. ICCV 2023: 7137-7147 - 2021
- [c8]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR 2021: 3204-3215 - [c7]Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler:
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. NeurIPS 2021: 12013-12026 - 2020
- [c6]Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. CVPR 2020: 1057-1067 - 2019
- [c5]Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. CVPR 2019: 7962-7971 - [c4]Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger:
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids. CVPR 2019: 10344-10353 - 2018
- [c3]Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. CVPR 2018: 3897-3906 - 2017
- [c2]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou
, Anastasios Delopoulos:
Learning local feature aggregation functions with backpropagation. EUSIPCO 2017: 748-752 - 2016
- [c1]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou
, Anastasios Delopoulos:
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia 2016: 332-336
Informal and Other Publications
- 2024
- [i16]Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas:
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation. CoRR abs/2404.11987 (2024) - 2023
- [i15]Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas:
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision. CoRR abs/2303.09554 (2023) - [i14]Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas:
CurveCloudNet: Processing Point Clouds with 1D Structure. CoRR abs/2303.12050 (2023) - [i13]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi:
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR abs/2303.12074 (2023) - [i12]Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung:
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. CoRR abs/2309.12899 (2023) - [i11]Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas J. Guibas:
CAD: Photorealistic 3D Generation via Adversarial Distillation. CoRR abs/2312.06663 (2023) - 2022
- [i10]Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte
:
3D-Aware Video Generation. CoRR abs/2206.14797 (2022) - [i9]Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas:
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos. CoRR abs/2210.01781 (2022) - [i8]Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CoRR abs/2212.04096 (2022) - 2021
- [i7]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR abs/2103.10429 (2021) - [i6]Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler:
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. CoRR abs/2110.03675 (2021) - 2020
- [i5]Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. CoRR abs/2004.01176 (2020) - 2019
- [i4]Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. CoRR abs/1901.01535 (2019) - [i3]Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger:
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids. CoRR abs/1904.09970 (2019) - 2018
- [i2]Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. CoRR abs/1806.02170 (2018) - 2017
- [i1]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos:
Learning Local Feature Aggregation Functions with Backpropagation. CoRR abs/1706.08580 (2017)
Coauthor Index
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