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 (NeurIPS, 2022)

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)

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 (AAAI, 2024)

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. - Maksim Smirnov; Aleksandr Gushchin; Anastasia Antsiferova; Dmitriy S. Vatolin; Radu Timofte; Ziheng Jia; Zicheng Zhang; Wei Sun 029; Jiaying Qian; Yuqin Cao; Yinan Sun; Yuxin Zhu; et al. (ECCV Workshops (10), 2024)

Adversarial purification for no-reference image-quality metrics: applicability study and new methods. - Aleksandr Gushchin; Anna Chistyakova; Vladislav Minashkin; Anastasia Antsiferova; 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)

LEHA-CVQAD: Dataset To Enable Generalized Video Quality Assessment of Compression Artifacts. - Aleksandr Gushchin; Maksim Smirnov; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2025)