Články se zplnomocněním k veřejnému přístupu - Sina HonariDalší informace
Dostupné někde: 11
Distribution matching losses can hallucinate features in medical image translation
JP Cohen, M Luck, S Honari
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Zplnomocnění: US National Science Foundation
Recombinator networks: Learning coarse-to-fine feature aggregation
S Honari, J Yosinski, P Vincent, C Pal
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Zplnomocnění: US National Aeronautics and Space Administration
Lightweight multi-view 3D pose estimation through camera-disentangled representation
E Remelli, S Han, S Honari, P Fua, R Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Zplnomocnění: Swiss National Science Foundation
On adversarial mixup resynthesis
C Beckham, S Honari, V Verma, A Lamb, F Ghadiri, RD Hjelm, Y Bengio, ...
Advances in neural information processing systems, 2019
Zplnomocnění: Academy of Finland
Improving the speed of MRI with artificial intelligence
PM Johnson, MP Recht, F Knoll
Seminars in musculoskeletal radiology 24 (01), 012-020, 2020
Zplnomocnění: US National Institutes of Health, Natural Sciences and Engineering Research …
Adversarial parametric pose prior
A Davydov, A Remizova, V Constantin, S Honari, M Salzmann, P Fua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Zplnomocnění: Swiss National Science Foundation
How to cure cancer (in images) with unpaired image translation
JP Cohen, M Luck, S Honari
Zplnomocnění: US National Science Foundation
Visual question answering from another perspective: CLEVR mental rotation tests
C Beckham, M Weiss, F Golemo, S Honari, D Nowrouzezahrai, C Pal
Pattern Recognition 136, 109209, 2023
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Improving facial analysis and performance driven animation through disentangling identity and expression
D Rim, S Honari, MK Hasan, CJ Pal
Image and Vision Computing 52, 125-140, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Feature extraction on faces: from landmark localization to depth estimation
S Honari
Zplnomocnění: Fonds de recherche du Québec - Nature et technologies
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
K Lis, M Rottmann, A Mütze, S Honari, P Fua, M Salzmann, SAIC Toronto
Zplnomocnění: Federal Ministry of Education and Research, Germany
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