Dmitriy Kulikov

Codec analysis team leader


Research Interests:

  • videocodec analysis
  • image and video quality metrics
  • video processing
  • machine learning
  • computer vision

Dmitriy Kulikov graduated from the Applied Mathematics department of Moscow State University in 2005. He defended his Ph.D. thesis on computer graphics in 2009. I work in Graphics and Media Lab and have participated in several projects of the lab, including a project with Samsung, Intel, Real networks.

Most of my research focuses on video processing problems: logo and subtitle removal, denoising, brightness&contracts enhancement, color enhancement, etc.

Other topic of my research work was devoted video codec analysis. I am project head for most of MSU Video codec analysis projects since 2005.

PhD Thesis: Методы маскирования искажений в видео потоке после сбоев в работе кодека

Recent Publications

  1. Hacking VMAF and VMAF NEG: vulnerability to different preprocessing methods. M. Siniukov, A. Antsiferova, D. Kulikov, D. Vatolin. ArXiv e-prints, 2021
  2. Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation. A. Antsiferova, A. Yakovenko, N. Safonov, D. Kulikov, A. Gushin, D. Vatolin. ArXiv e-prints, 2021
  3. BSQ-rate: a new approach for video-codec performance comparison and drawbacks of current solutions. A. Zvezdakova, D. Kulikov, S. Zvezdakov, D. Vatolin. Programming and Computer Software, 2020
  4. BSQ-rate: новый подход к сравнению производительности видеокодеков и недостатки существующих решений. А. Звездакова, Д. Куликов, С. Звездаков, Д. Ватолин. Труды Института системного программирования РАН, 2020
  5. Barriers Towards No-reference Metrics Application to Compressed Video Quality Analysis: on the Example of No-reference Metric NIQE. A. Zvezdakova, D. Kulikov, D. Kondranin, D. Vatolin. GraphiCon'2019 Proceedings, 2019