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News
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.
May 15, 2026
‘What Matters Is Not What You Study, but Who You Study with
Katerina Koloskova began studying Arabic expecting to give it up after a year—now she cannot imagine her life without it. In an interview for the Young Scientists of HSE University project, she spoke about two translated books, an expedition to Socotra, and her love for Bethlehem.

 

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Adjunct Proceedings of 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)

NY : IEEE, 2017.
Academic editor: W. Broll

Accepted Poster Papers will be published in the adjunct proceedings of IEEE ISMAR 2017 and will be included in the IEEE Xplore digital library.

Chapters
Depth Map Interpolation using Perceptual Loss
Makarov I., Vladimir Aliev, Gerasimova Olga et al., , in: Adjunct Proceedings of 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct).: NY: IEEE, 2017. P. 93–94.
In this paper, we discuss a semi-dense  depth map interpolation method based on convolutional neural network. We propose a compact  neural network architecture with loss function defined as Euclidean distance in the feature space of VGG-16 neural network used for deep visual recognition. The suggested solution shows state-of-art performance on synthetic and real datasets. Together ...
Added: August 5, 2017
Research target: Computer Science Mathematics
Priority areas: IT and mathematics engineering science
Language: English
Keywords: дополненная реальностьAugmented RealityMixed Realityсмешанная реальность
Adjunct Proceedings of 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)
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