Graphics and Media Lab (GML) was established in 2002 as a part of Department of Computational Mathematics and Cybernetics of M.V. Lomonosov Moscow State University. Laboratory possesses solid research experience in many areas of computer graphics, computer vision, image and video processing. Research is supported by Russian fund for basic research, state contracts, and by international companies Intel, Microsoft, Samsung.

Main

09.01.14

Congratulations to Olga Senyukova, who has received CMC scholarship for young scientists and teachers who achieved significant results in teaching and research activities.

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22.11.13

Congratulations to Vlad Shakhuro, who is among winners of autumn final of "UMNIK" program, and has recieved grant for his project "Development of traffic sign detection algorithm".

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16.11.13 Our congratulation to Alexander Chigorin, who has recieved "Best Presentation Award" on CMRT13 – City Models, Roads and Traffic 2013 for his talk "A system for large-scale automatic traffic sign recognition and mapping"! view
25.06.13

We congratulate the graduates of our lab, who won prizes on best thesis contest in CMC MSU!

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21.05.13

Mikhail Sindeyev defended his PhD thesis “Research and development of video matting algorithms” on May 21, 2013 in Keldysh Institute of Applied Mathematics RAS.

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27.04.13

Timur Ibadov, Sergey Ushakov and Alexander Velizhev won the competition for participation in development of Point Cloud Library (http://pointclouds.org) within Code Sprint 2013, sponsored by Honda Research Institute. The Point Cloud Library (PCL) is a standalone, large scale, open source project for 3D point cloud processing. The team will implement and integrate into the library two modern algorithms for 3D point cloud recognition.

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31.10.12

Three students of Graphics & Media Lab have recieved prizes in course work competition in our department of MSU

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24.10.12

We congratulate Olga Senyukova with successful defense of PhD Thesis "Algorithms for semantic image segmentation and classification of biomedical signals based on machine learning”. Thesis summary can be found here

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