13 citations · 47 across the 35 of their papers we have counts for
4 papers · 1 filter
Video compression dataset and benchmark of learning-based video-quality metrics
Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov +3
Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based d…
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics
Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy Vatolin
Universal adversarial perturbation attacks are widely used to analyze image classifiers that employ convolutional neural networks. Nowadays, some attacks can deceive image- and vid…
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
Viacheslav Meshchaninov, Ivan Molodetskikh, Dmitriy Vatolin
Upscaled video detection is a helpful tool in multimedia forensics, but it is a challenging task that involves various upscaling and compression algorithms. There are many resoluti…
Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric
Eugene Lyapustin, Anastasia Kirillova, Viacheslav Meshchaninov +3
Super-resolution (SR) has become a widely researched topic in recent years. SR methods can improve overall image and video quality and create new possibilities for further content…