Despoina Paschalidou

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	All	Since 2016
Citations	185	185
h-index	5	5
i10-index	4	4

120

20182019202020213 23 101 57

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Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerified email at uni-tuebingen.de
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Ali Osman UlusoyMicrosoft HoloLensVerified email at microsoft.com
Carolin SchmittMax Planck Institute for Intelligent Systems and University of TübingenVerified email at tue.mpg.de
Angelos KatharopoulosIdiap and EPFLVerified email at idiap.ch
Simon Donnémax Planck institute for intelligent systems - autonomous vision groupVerified email at tue.mpg.de
Aseem BehlMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Christos DiouDepartment of Informatics and Telematics, Harokopio University of AthensVerified email at hua.gr
Anastasios DelopoulosAristotle University of Thessaloniki, multimedia understanding groupVerified email at eng.auth.gr
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu

Despoina Paschalidou

PhD Candidate in Max Planck Institute for Intelligent Systems and ETH Zürich

Verified email at tuebingen.mpg.de - Homepage

computer vision machine learning robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pointflownet: Learning representations for rigid motion estimation from point clouds A Behl, D Paschalidou, S Donné, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	57	2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids D Paschalidou, AO Ulusoy, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019, 2019	57	2019
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials D Paschalidou, AO Ulusoy, C Schmitt, L van Gool, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018, 2018	41	2018
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image D Paschalidou, L van Gool, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020, 2020	21	2020
Fast supervised LDA for discovering micro-events in large-scale video datasets A Katharopoulos, D Paschalidou, C Diou, A Delopoulos Proceedings of the 24th ACM international conference on Multimedia, 332-336, 2016	5	2016
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks D Paschalidou, A Katharopoulos, A Geiger, S Fidler Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021, 2021	3	2021
Learning local feature aggregation functions with backpropagation A Katharopoulos, D Paschalidou, C Diou, A Delopoulos 2017 25th European Signal Processing Conference (EUSIPCO), 748-752, 2017	1	2017
Supplementary Material for Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids D Paschalidou, AO Ulusoy, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019, 2019		2019
Supplementary Material for Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. D Paschalidou, A Katharopoulos, A Geiger, S Fidler
Supplementary Material for Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image D Paschalidou, L van Gool, A Geiger
Supplementary Material for RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials D Paschalidou, AO Ulusoy, C Schmitt, L van Gool, A Geiger Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018, 0

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