Ilya Makarov

发表

Analysis of Images, Social Networks and Texts

Ksenia Korovina, Olga Gerasimova, Ilya Makarov, 2018, Lecture Notes in Computer Science.

Learning to Play Pong Video Game via Deep Reinforcement Learning

Ilya Makarov, Andrej Kashin, Alisa Korinevskaya, 2017, AIST.

Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics

Leonid Zhukov, Olga Gerasimova, Ilya Makarov, 2018, JCDL.

Co-author Recommender System

Leonid Zhukov, Oleg Bulanov, Ilya Makarov, 2016 .

Logic of Existentialism in Fiction

Ilya Makarov, Valeria Bodishtianu, 2017, FLAIRS Conference.

On Math Approach to Tourist Project Team Formation Problem Concerning Performance and Cooperative Effects

Ekaterina V. Romanenko, Ilya Makarov, Sergey S. Ukustov, 2013 .

Link Prediction Regression for Weighted Co-authorship Networks

Olga Gerasimova, Ilya Makarov, Ilya Makarov, 2019, IWANN.

Imitation of Human Behavior in 3D-Shooter game

Ilya Makarov, Mikhail Tokmakov, Lada Tokmakova, 2015, AIST.

Information Propagation Strategies in Online Social Networks

Leonid Zhukov, Ilia Karpov, Ilya Makarov, 2016 .

Fast Depth Map Super-Resolution Using Deep Neural Network

Ilya Makarov, Alisa Korinevskaya, Ilya Makarov, 2018, 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).

American and russian sign language dactyl recognition

Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, 2019, PETRA.

Joint Node-Edge Network Embedding for Link Prediction

Leonid Zhukov, Ksenia Korovina, Olga Gerasimova, 2018, AIST.

Super-resolution of interpolated downsampled semi-dense depth map

Vladimir Aliev, Ilya Makarov, Alisa Korinevskaya, 2018, Web3D.

Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves

Pavel Polyakov, Ilya Makarov, Ilya Makarov, 2016, AIST.

Dual network embedding for representing research interests in the link prediction problem on co-authorship networks

Leonid Zhukov, Olga Gerasimova, Ilya Makarov, 2019, PeerJ Comput. Sci..

Scientific Matchmaker: Collaborator Recommender System

Leonid Zhukov, Ilia Karpov, Natalia Meshcheryakova, 2017, AIST.

Existence of Finite Total Equivalence Systems for Certain Closed Classes of 3-Valued Logic Functions

Ilya Makarov, 2015, Logica Universalis.

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding

Leonid Zhukov, Olga Gerasimova, Ilya Makarov, 2018, AIST.

Online supervised attention-based recurrent depth estimation from monocular video

Ilya Makarov, Dmitrii Maslov, Ilya Makarov, 2020, PeerJ Comput. Sci..

Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks

Vladimir Aliev, Olga Gerasimova, Ilya Makarov, 2017, ACM Multimedia.

Improving Picture Quality with Photo-Realistic Style Transfer

Ilya Makarov, Diana Polonskaya, Anastasia Feygina, 2018, ICIAR.

Sparse Depth Map Interpolation using Deep Convolutional Neural Networks

Vladimir Aliev, Ilya Makarov, Alisa Korinevskaya, 2018, 2018 41st International Conference on Telecommunications and Signal Processing (TSP).

Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component

Pavel Polyakov, Ilya Makarov, Roman Karpichev, 2018, AIST.

Fast Semi-dense Depth Map Estimation

Vladimir Aliev, Ilya Makarov, Alisa Korinevskaya, 2018, RETech@ICMR.

Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets

Pavel Polyakov, Olga Gerasimova, Ilya Makarov, 2017, FLAIRS Conference.

Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games

Dmitry I. Ignatov, Ilya Makarov, Dmitry Savostyanov, 2017, AIST.

Realistic post-processing of rendered 3D scenes

Dmitry I. Ignatov, Ilya Makarov, Anastasia Feygina, 2018, SIGGRAPH Posters.

Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents

Ilya Makarov, Maria Bakhanova, 2021, IWANN.

Hotel Recognition via Latent Image Embedding pdf

Ilya Makarov, Boris Tseytlin, Ilya Makarov, 2021, IWANN.

Depth Inpainting via Vision Transformer

Ilya Makarov, Gleb Borisenko, Ilya Makarov, 2021, 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).

Survey on graph embeddings and their applications to machine learning problems on graphs

Lovro Subelj, Ilya Makarov, Nikita Nikitinsky, 2021, PeerJ Comput. Sci..

Fast Depth Reconstruction Using Deep Convolutional Neural Networks

Ilya Makarov, Dmitrii Maslov, Ilya Makarov, 2021, IWANN.

Temporal Graph Network Embedding with Causal Anonymous Walks Representations pdf

Ilya Makarov, Dmitrii Babaev, Nikita Severin, 2021, ArXiv.

Hotel Recognition via Latent Image Embeddings

Ilya Makarov, Boris Tseytlin, 2021, IWANN.

Fusion of text and graph information for machine learning problems on networks

Ilya Makarov, Dmitrii Kiselev, Mikhail Makarov, 2021, PeerJ Comput. Sci..

Fault detection in Tennessee Eastman process with temporal deep learning models

Leonid Zhukov, Ilya Makarov, Ildar Lomov, 2021, J. Ind. Inf. Integr..

Instagram Hashtag Prediction Using Deep Neural Networks

Ilya Makarov, Anna Beketova, 2021, IWANN.

JONNEE: Joint Network Nodes and Edges Embedding

Ksenia Korovina, Ilya Makarov, Dmitrii Kiselev, 2021, IEEE Access.

Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow pdf

Ilya Makarov, Boris Tseytlin, Ilya Makarov, 2021, ArXiv.