65 citations · 97 across the 4 of their papers we have counts for
6 papers
Latent Video Transformer
Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov +2
The video generation task can be formulated as a prediction of future video frames given some past frames. Recent generative models for videos face the problem of high computationa…
Deep Vectorization of Technical Drawings
Vage Egiazarian, Oleg Voynov, Alexey Artemov +5
We present a new method for vectorization of technical line drawings, such as floor plans, architectural drawings, and 2D CAD images. Our method includes (1) a deep learning-based…
User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks
Aibek Alanov, Max Kochurov, Denis Volkhonskiy +3
We propose a novel multi-texture synthesis model based on generative adversarial networks (GANs) with a user-controllable mechanism. The user control ability allows to explicitly s…
Reconstruction of 3D Porous Media From 2D Slices
Denis Volkhonskiy, Ekaterina Muravleva, Oleg Sudakov +4
In many branches of earth sciences, the problem of rock study on the micro-level arises. However, a significant number of representative samples is not always feasible. Thus the pr…
Inductive Conformal Martingales for Change-Point Detection
Denis Volkhonskiy, Ilia Nouretdinov, Alexander Gammerman +2
We consider the problem of quickest change-point detection in data streams. Classical change-point detection procedures, such as CUSUM, Shiryaev-Roberts and Posterior Probability s…
Steganographic Generative Adversarial Networks
Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev
Steganography is collection of methods to hide secret information ("payload") within non-secret information "container"). Its counterpart, Steganalysis, is the practice of determin…