Sergey Lavrushkin

According to our database, Sergey Lavrushkin authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models.

Khaled Abud, Sergey Lavrushkin, Alexey Kirillov, Dmitriy S. Vatolin

CoRR, 2024

Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods.

Egor Kovalev, Georgii Bychkov, Khaled Abud, Aleksandr Gushchin, Anna Chistyakova, Sergey Lavrushkin, Dmitriy S. Vatolin, Anastasia Antsiferova

CoRR, 2024

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics.

Alexander Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova

CoRR, 2024

Image Robustness to Adversarial Attacks on No-Reference Image-Quality Metrics.

Daniil Konstantinov, Sergey Lavrushkin, Dmitriy S. Vatolin

Proceedings of the 32nd European Signal Processing Conference, 2024

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks.

Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks.

Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin, Ekaterina Shumitskaya, Maksim Velikanov, Dmitriy S. Vatolin

CoRR, 2023

2022

Video compression dataset and benchmark of learning-based video-quality metrics.

Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Alexander Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov

CoRR, 2022

Video compression dataset and benchmark of learning-based video-quality metrics.

Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov

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

2021

Stereoscopic quality assessment of 1, 000 VR180 videos using 8 metrics.

Sergey Lavrushkin, Ivan Molodetskikh, Konstantin Kozhemyakov, Dmitriy S. Vatolin

Proceedings of the Stereoscopic Displays and Applications XXXII, 2021

2020

Stereoscopic Dataset from A Video Game: Detecting Converged Axes and Perspective Distortions in S3D Videos.

Kirill Malyshev, Sergey Lavrushkin, Dmitriy S. Vatolin

Proceedings of the International Conference on 3D Immersion, 2020

Neural-Network-Based Detection Methods for Color, Sharpness, and Geometry Artifacts in Stereoscopic and VR180 Videos.

Sergey Lavrushkin, Konstantin Kozhemyakov, Dmitriy S. Vatolin

Proceedings of the International Conference on 3D Immersion, 2020

2018

Channel-Mismatch Detection Algorithm for Stereoscopic Video Using Convolutional Neural Network.

Sergey Lavrushkin, Dmitriy S. Vatolin

Proceedings of the 3DTV Conference: The True Vision, 2018

Local Method of Color-Difference Correction Between Stereoscopic-Video Views.

Sergey Lavrushkin, Vitaliy Lyudvichenko, Dmitriy S. Vatolin

Proceedings of the 3DTV Conference: The True Vision, 2018

2016

Toward fully automatic channel-mismatch detection and discomfort prediction for S3D video.

Alexander Bokov, Sergey Lavrushkin, Mikhail Erofeev, Dmitriy S. Vatolin, Alexey Fedorov

Proceedings of the International Conference on 3D Imaging, 2016