Despoina Paschalidou

According to our database, Despoina Paschalidou authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ReMatching Dynamic Reconstruction Flow.

Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon

CoRR, 2024

PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers.

Songlin Li, Despoina Paschalidou, Leonidas J. Guibas

CoRR, 2024

CAD : Photorealistic 3D Generation via Adversarial Distillation.

Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation.

Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CurveCloudNet: Processing Point Clouds with 1D Structure.

Colton Stearns, Alex Fu, Jiateng Liu, Jeong Joon Park, Davis Rempe, Despoina Paschalidou, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation.

Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung

Comput. Graph. Forum, October, 2023

3D-Aware Video Generation.

Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte

Trans. Mach. Learn. Res., 2023

CurveCloudNet: Processing Point Clouds with 1D Structure.

Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas

CoRR, 2023

PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision.

Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas

CoRR, 2023

COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos.

Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes.

Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction.

Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generating Part-Aware Editable 3D Shapes without 3D Supervision.

Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos.

Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas

CoRR, 2022

2021

Learning Deep Models with Primitive-Based Representations.

Despoina Paschalidou

PhD thesis, 2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis.

Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks.

Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image.

Despoina Paschalidou, Luc Van Gool, Andreas Geiger

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids.

Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds.

Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds.

Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger

CoRR, 2018

RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials.

Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning local feature aggregation functions with backpropagation.

Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets.

Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016