Ivan Sosnovik

According to our database, Ivan Sosnovik authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Learning to Summarize Videos by Contrasting Clips.

Ivan Sosnovik, Artem Moskalev, Cees Kaandorp, Arnold W. M. Smeulders

CoRR, 2023

2022

LieGG: Studying Learned Lie Group Generators.

Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold W. M. Smeulders

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrasting Quadratic Assignments for Set-Based Representation Learning.

Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold W. M. Smeulders

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Wiggling Weights to Improve the Robustness of Classifiers.

Sadaf Gulshad, Ivan Sosnovik, Arnold W. M. Smeulders

CoRR, 2021

PIE: Pseudo-Invertible Encoder.

Jan Jetze Beitler, Ivan Sosnovik, Arnold W. M. Smeulders

CoRR, 2021

Two is a crowd: tracking relations in videos.

Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders

CoRR, 2021

Built-in Elastic Transformations for Improved Robustness.

Sadaf Gulshad, Ivan Sosnovik, Arnold W. M. Smeulders

CoRR, 2021

Scale Equivariance Improves Siamese Tracking.

Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

How to Transform Kernels for Scale-Convolutions.

Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Relational Prior for Multi-Object Tracking.

Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

DISCO: accurate Discrete Scale Convolutions.

Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Scale-Equivariant Steerable Networks.

Ivan Sosnovik, Michal Szmaja, Arnold W. M. Smeulders

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Semi-Conditional Normalizing Flows for Semi-Supervised Learning.

Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry P. Vetrov

CoRR, 2019

2017

Neural networks for topology optimization.

Ivan Sosnovik, Ivan V. Oseledets

CoRR, 2017