Sotabase

Career

· Senior Research Scientist, NVIDIA2024–
· Postdoctoral Researcher, Stanford University2022–2024
· Intern, Facebook AI Research (FAIR)2021–2021
· Intern, NVIDIA Research2020–2020
· Research Assistant, Aristotle University of Thessaloniki
· PhD Student, Max Planck Institute for Intelligent Systems and ETH Zurich

Publications (25)

Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids
Computer Vision and Pattern Recognition · 2019
220
cited
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Neural Information Processing Systems · 2021
210
cited
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Computer Vision and Pattern Recognition · 2021
130
cited
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image
Computer Vision and Pattern Recognition · 2020
124
cited
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
Computer Vision and Pattern Recognition · 2018
122
cited
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
98
cited
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
IEEE International Conference on Computer Vision · 2023
60
cited
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
Computer Vision and Pattern Recognition · 2022
32
cited
3D-Aware Video Generation
Trans. Mach. Learn. Res. · 2022
24
cited
CAD : Photorealistic 3D Generation via Adversarial Distillation
Computer Vision and Pattern Recognition · 2023
13
cited
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds
arXiv.org · 2018
13
cited
MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation
Computer Vision and Pattern Recognition · 2024
12
cited
Supplementary Material for ATISS: Autoregressive Transformers for Indoor Scene Synthesis
2021
11
cited
PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers
arXiv.org · 2024
8
cited
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets
ACM Multimedia · 2016
6
cited
CurveCloudNet: Processing Point Clouds with 1D Structure
Computer Vision and Pattern Recognition · 2023
4
cited
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos
arXiv.org · 2022
3
cited
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
IEEE International Conference on Computer Vision · 2022
3
cited
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation
Computer graphics forum (Print) · 2023
3
cited
Learning local feature aggregation functions with backpropagation
European Signal Processing Conference · 2017
1
cited
Sotabase
Despoina Paschalidou | Researcher Profile | Sotabase | Sotabase