| Machine-Learning-Based Method for Finding Optimal Video-Codec Configurations Using Physical Input-Video Features. R Kazantsev, S Zvezdakov, DS Vatolin DCC, 374, 2020 | 4 | 2020 |
| Application of physical video features in classification problem R Kazantsev, S Zvezdakov, D Vatolin International Journal of Open Information Technologies 7 (5), 33-38, 2019 | 4 | 2019 |
| Native code authorization verification library AV Somsikov, RA Kazantsev US Patent App. 15/775,511, 2018 | 2 | 2018 |
| Video-Decoder Power Consumption on Android Devices: Power-Estimation Method, Dataset Creation, and Analysis Results R Kazantsev, V Yanushkovsky, D Vatolin 2021 Data Compression Conference (DCC), 347-347, 2021 | | 2021 |
| Power Consumption of Video-Decoders on Various Android Devices R Kazantsev, D Vatolin 2021 Picture Coding Symposium (PCS), 1-5, 2021 | | 2021 |
| Software Protection with Intel® Tamper Protection Toolkit and Software Vulnerability Analysis R Kazantsev, D Katerinskiy, T Letnes | | |
| Intel® Tamper Protection Toolkit Helps Protect the Scrypt Encryption Utility against Reverse Engineering R Kazantsev, D Katerinskiy, T Letnes | | |
Dmitriy VatolinLomonosov Moscow State UniversityVerified email at graphics.cs.msu.ru
Dmitriy VatolinLomonosov Moscow State UniversityVerified email at graphics.cs.msu.ru