Stavros Tsogkas

MaRS Discovery District
101 College St., M5G 1L7, Toronto, Ontario, Canada

/ / /

I am a Research Scientist at the Samsung Artificial Intelligence Center (SAIC) in Toronto, where I work on computer vision and machine learning. I did my PhD at the University of Paris-Saclay, where I was advised by Iasonas Kokkinos. My alma mater is the National Technical University of Athens.


GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
D. Turpin , L. Wang , S. Tsogkas, S. Dickinson, A. Garg
Robotics Science and Systems (RSS 2021).

Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
T.-A. Armstrong, A. Levinshtein, S. Tsogkas, K. Derpanis, A. Jepson
International Conference on 3D Vision (3DV 2020).
code / slides / poster / project page

Few-Shot Single-View 3D Reconstruction with Compositional Priors
M. Michalkiewicz, S. Parisot, S. Tsogkas, M. Baktashmotlagh, A. Eriksson, E. Belilovsky
European Conference on Computer Vision (ECCV 2020).
bibtex / slides / video (short) / video (long)

Appearance Shock Grammar for Fast Medial Axis Extraction from Real Images
Charles-Olivier Dufresne Camaro, Morteza Rezanejad, S. Tsogkas, K. Siddiqi, S. Dickinson
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2020).
code / bibtex / slides / video

Geometric Disentanglement for Generative Latent Shape Models
T. Aumentado-Armstrong, S. Tsogkas, A. Jepson, S. Dickinson
International Conference on Computer Vision (ICCV 2019).
code / bibtex / poster

DeepFlux for Skeletons in the Wild
Y. Wang, Y. Xu, S. Tsogkas, X. Bei, S. Dickinson, K. Siddiqi
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2019).
code / bibtex

2017 ICCV Challenge: Detecting Symmetry in the Wild (editorial)
C. Funk*, S. Lee*, M. Oswald*, S. Tsogkas*, W. Shen, A. Cohen, S. Dickinson, Y. Liu
Detecting Symmetry in the Wild Workshop (In conjunction with ICCV 2017).
*Authors contributed equally

AMAT: Medial Axis Transform for Natural Images
S. Tsogkas, S. Dickinson
International Conference on Computer Vision (ICCV 2017).
code / bibtex / video / slides

Prior-based Coregistration and Cosegmentation
M. Shakeri*, E. Ferrante*, S. Tsogkas, S. Lippe, S. Kadoury, I. Kokkinos, N. Paragios
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016).
*Authors contributed equally

Subcortical Brain Structure Segmentation Using FCNNs
S. Tsogkas*, M. Shakeri*, E. Ferrante, S. Lippe, S. Kadoury, N. Paragios, I. Kokkinos
International Symposium on Biomedical Imaging (ISBI 2016) - oral.
*Authors contributed equally
code / slides (pdf) / slides (odp) / bibtex

Accurate Human-Limb Segmentation in RGB-D images for Intelligent Mobility Assistance Robots
S. Chandra, S. Tsogkas, I. Kokkinos
Third Workshop on Assistive Computer Vision and Robotics (In conjunction with ICCV 2015).
poster / bibtex

Deep Learning for Semantic Part Segmentation with High-Level Guidance
S. Tsogkas, I. Kokkinos, G. Papandreou, A. Vedaldi
arXiv report.

Deformable Part Models with CNN Features
P. A. Savalle, S. Tsogkas, G. Papandreou, I. Kokkinos
European Conf. on Computer Vision, Parts and Attributes Workshop (ECCVW 2014).
poster / bibtex

Segmentation-aware Deformable Part Models
E. Trulls, S. Tsogkas, I. Kokkinos, A. Sanfeliu, F. Moreno
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2014).
poster / bibtex

Understanding Objects in Detail with Fine-grained Attributes
A. Vedaldi, S. Mahendran , S. Tsogkas, S. Maji, R.B. Girshick, J. Kannala, E. Rahtu, I. Kokkinos,
M. B. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra, S. Mohamed

Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2014).
code / data / poster / bibtex

Learning-Based Symmetry Detection in Natural Images
S. Tsogkas , I. Kokkinos
Proc. European Conf. on Computer Vision (ECCV 2012).
code / data / poster / bibtex