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Conference and Workshop Papers
- 2022
[c7]Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold W. M. Smeulders:
Contrasting Quadratic Assignments for Set-Based Representation Learning. ECCV (27) 2022: 88-104- [c6]Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold W. M. Smeulders:
LieGG: Studying Learned Lie Group Generators. NeurIPS 2022 - 2021
- [c5]Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
DISCO: accurate Discrete Scale Convolutions. BMVC 2021: 334 - [c4]Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders:
Relational Prior for Multi-Object Tracking. ICCVW 2021: 1081-1085 - [c3]Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
How to Transform Kernels for Scale-Convolutions. ICCVW 2021: 1092-1097 - [c2]Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
Scale Equivariance Improves Siamese Tracking. WACV 2021: 2764-2773 - 2020
- [c1]Ivan Sosnovik, Michal Szmaja, Arnold W. M. Smeulders:
Scale-Equivariant Steerable Networks. ICLR 2020
Informal and Other Publications
- 2023
- [i12]Ivan Sosnovik, Artem Moskalev, Cees Kaandorp, Arnold W. M. Smeulders:
Learning to Summarize Videos by Contrasting Clips. CoRR abs/2301.05213 (2023) - 2022
- [i11]Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold W. M. Smeulders:
Contrasting quadratic assignments for set-based representation learning. CoRR abs/2205.15814 (2022) - [i10]Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold W. M. Smeulders:
LieGG: Studying Learned Lie Group Generators. CoRR abs/2210.04345 (2022) - 2021
- [i9]Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
DISCO: accurate Discrete Scale Convolutions. CoRR abs/2106.02733 (2021) - [i8]Sadaf Gulshad, Ivan Sosnovik, Arnold W. M. Smeulders:
Built-in Elastic Transformations for Improved Robustness. CoRR abs/2107.09391 (2021) - [i7]Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders:
Two is a crowd: tracking relations in videos. CoRR abs/2108.05331 (2021) - [i6]Jan Jetze Beitler, Ivan Sosnovik, Arnold W. M. Smeulders:
PIE: Pseudo-Invertible Encoder. CoRR abs/2111.00619 (2021) - [i5]Sadaf Gulshad, Ivan Sosnovik, Arnold W. M. Smeulders:
Wiggling Weights to Improve the Robustness of Classifiers. CoRR abs/2111.09779 (2021) - 2020
- [i4]Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders:
Scale Equivariance Improves Siamese Tracking. CoRR abs/2007.09115 (2020) - 2019
- [i3]Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry P. Vetrov:
Semi-Conditional Normalizing Flows for Semi-Supervised Learning. CoRR abs/1905.00505 (2019) - [i2]Ivan Sosnovik, Michal Szmaja, Arnold W. M. Smeulders:
Scale-Equivariant Steerable Networks. CoRR abs/1910.11093 (2019) - 2017
- [i1]Ivan Sosnovik, Ivan V. Oseledets:
Neural networks for topology optimization. CoRR abs/1709.09578 (2017)
Coauthor Index
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