Despoina Paschalidou
Despoina Paschalidou
PhD Candidate in Max Planck Institute for Intelligent Systems and ETH Zürich
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
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
312018
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
252019
Pointflownet: Learning representations for rigid motion estimation from point clouds
A Behl, D Paschalidou, S Donné, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
182019
Control of eating behavior using a novel feedback system
M Esfandiari, V Papapanagiotou, C Diou, M Zandian, J Nolstam, ...
JoVE (Journal of Visualized Experiments), e57432, 2018
122018
Pointflownet: Learning representations for 3d scene flow estimation from point clouds
A Behl, D Paschalidou, S Donné, A Geiger
arXiv preprint arXiv:1806.02170 2, 2018
72018
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
42016
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
22020
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
12017
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 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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