activity
20192026
most citedVideo compression dataset and benchmark of learning-based video-quality metrics

13 citations · 38 across the 25 of their papers we have counts for

collaborators

27 papers

math.OC2026

Wall-Clock Complexity for Zeroth-Order Optimization with Tunable Oracle Fidelity

Alexandra Suvorikova, Igor Pavlov, Artem Vasin +4

Zeroth-order (black-box) optimization is applied when gradients are unavailable and objective evaluations rely on expensive simulations. In many such applications, the oracle fidel…

cs.CV2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51

This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…

cs.CV2026

From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera

Victoria Leonenkova, Ekaterina Shumitskaya, Dmitriy Vatolin +1

This demonstration presents Digital-Physical Adversarial Attacks (DiPA), a new class of practical adversarial attacks against pervasive camera-based authentication systems, where a…

cs.CV2026

BiRQA: Bidirectional Robust Quality Assessment for Images

Aleksandr Gushchin, Dmitriy S. Vatolin, Anastasia Antsiferova

Full-Reference image quality assessment (FR IQA) is important for image compression, restoration and generative modeling, yet current neural metrics remain slow and vulnerable to a…

cs.CV2026

Universal Anti-forensics Attack against Image Forgery Detection via Multi-modal Guidance

Haipeng Li, Rongxuan Peng, Anwei Luo +3

The rapid advancement of AI-Generated Content (AIGC) technologies poses significant challenges for authenticity assessment. However, existing evaluation protocols largely overlook…

cs.CV2025

FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment

Ekaterina Shumitskaya, Dmitriy Vatolin, Anastasia Antsiferova

We propose a novel certified defense method for Image Quality Assessment (IQA) models based on randomized smoothing with noise applied in the feature space rather than the input sp…