Despoina Paschalidou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Flow Estimation

Planar Surfaces

Top Venues

Publications

Songlin Li, Despoina Paschalidou, Leonidas J. Guibas
PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers. CoRR (2024)
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 (2024)
Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas
CurveCloudNet: Processing Point Clouds with 1D Structure. CoRR (2023)
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)
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 (2023)
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)
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 (2023)
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)
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)
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 (2023)
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)
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)
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 (2023)
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 (2022)
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 (2022)
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte
3D-Aware Video Generation. CoRR (2022)
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. NeurIPS (2021)
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. CoRR (2021)
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR (2021)
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR (2021)
Despoina Paschalidou, Luc Van Gool, Andreas Geiger
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. CVPR (2020)
Despoina Paschalidou, Luc Van Gool, Andreas Geiger
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. CoRR (2020)
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids. CoRR (2019)
Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. CVPR (2019)
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids. CVPR (2019)
Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. CoRR (2019)
Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. CVPR (2018)
Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. CoRR (2018)
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
Learning local feature aggregation functions with backpropagation. EUSIPCO (2017)
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
Learning Local Feature Aggregation Functions with Backpropagation. CoRR (2017)
Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia (2016)