Despoina Paschalidou
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I am a third year PhD student at the Max Planck ETH Center for Learning Systems , advised by Andreas Geiger and Luc van Gool . Prior to this, I did my bachelors in the School of Electrical and Computer Engineering in the Aristotle University of Thessaloniki in Greece, where I worked with Anastasios Delopoulos and Christos Diou. The main research question that I want to answer during my PhD, is what is the right representation that would allow us to build machines that mimic the human's visual system?

News
Publications
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Despoina Paschalidou, Luc van Gool, Andreas Geiger
Computer Vision and Pattern Recognition (CVPR), 2020
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
Computer Vision and Pattern Recognition (CVPR), 2019
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
Computer Vision and Pattern Recognition (CVPR), 2019
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight Presentation)
Learning local feature aggregation functions with backpropagation
European Signal Processing Conference (EUSIPCO), 2017
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets
ACM Multimedia Conference (ACMM), 2016