activity
20182025
most citedA Volumetric Approach to Point Cloud Compression

12 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Towards properties of adversarial image perturbations

Egor Kuznetsov, Kirill Aistov, Maxim Koroteev

Using stochastic gradient approach we study the properties of adversarial perturbations resulting in noticeable growth of VMAF image quality metric. The structure of the perturbati…

cs.CV2023

Distribution prediction for image compression: An experimental re-compressor for JPEG images

Maxim Koroteev, Yaroslav Borisov, Pavel Frolov

We propose a new scheme to re-compress JPEG images in a lossless way. Using a JPEG image as an input the algorithm partially decodes the signal to obtain quantized DCT coefficients…

cs.LG2023

VMAF Re-implementation on PyTorch: Some Experimental Results

Kirill Aistov, Maxim Koroteev

Based on the standard VMAF implementation we propose an implementation of VMAF using PyTorch framework. For this implementation comparisons with the standard (libvmaf) show the dis…

cs.CV2022

Image quality prediction using synthetic and natural codebooks: comparative results

Maxim Koroteev, Kirill Aistov, Valeriy Berezovskiy +1

We investigate a model for image/video quality assessment based on building a set of codevectors representing in a sense some basic properties of images, similar to well-known CORN…

cs.CV2022

On scale-invariant properties in natural images and their simulations

Maxim Koroteev, Kirill Aistov

We study samples of natural images for which a set of statistical characteristics is computed and scale-invariant properties of samples are demonstrated computationally. Computatio…

eess.IV2018★ 12 cited

A Volumetric Approach to Point Cloud Compression

Maja Krivokuća, Maxim Koroteev, Philip A. Chou

Compression of point clouds has so far been confined to coding the positions of a discrete set of points in space and the attributes of those discrete points. We introduce an alter…