activity
20182026
most citedWeighted boxes fusion: Ensembling boxes from different object detection models

528 citations · 690 across the 8 of their papers we have counts for

collaborators

10 papers

cs.SD2026

Music-Source-Separation-Training (MSST): A Unified Framework for Training and Evaluating Music Demixing Models

Roman Solovyev, Ilya Kiselev, Alexander Stempkovskiy +1

Music Source Separation (MSS), the task of recovering individual sound components (stems) from a polyphonic mixture, is central to applications ranging from karaoke and remixing to…

eess.AS2023

The Sound Demixing Challenge 2023 $\unicode{x2013}$ Cinematic Demixing Track

Stefan Uhlich, Giorgio Fabbro, Masato Hirano +14

This paper summarizes the cinematic demixing (CDX) track of the Sound Demixing Challenge 2023 (SDX'23). We provide a comprehensive summary of the challenge setup, detailing the str…

eess.AS2023★ 26 cited

The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track

Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai +24

This paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX'23). We provide a summary of the challenge setup and introduce the task of robust music so…

cs.SD2023★ 6 cited

Benchmarks and leaderboards for sound demixing tasks

Roman Solovyev, Alexander Stempkovskiy, Tatiana Habruseva

Music demixing is the task of separating different tracks from the given single audio signal into components, such as drums, bass, and vocals from the rest of the accompaniment. Se…

eess.IV2021★ 100 cited

3D Convolutional Neural Networks for Stalled Brain Capillary Detection

Roman Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva

Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral capillaries are associated with cognitive decline…

cs.CV2020

Roof material classification from aerial imagery

Roman Solovyev

This paper describes an algorithm for classification of roof materials using aerial photographs. Main advantages of the algorithm are proposed methods to improve prediction accurac…

cs.CV2019★ 528 cited

Weighted boxes fusion: Ensembling boxes from different object detection models

Roman Solovyev, Weimin Wang, Tatiana Gabruseva

In this work, we present a novel method for combining predictions of object detection models: weighted boxes fusion. Our algorithm utilizes confidence scores of all proposed boundi…

eess.IV2019

Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio

Roman Solovyev, Iaroslav Melekhov, Timo Lesonen +3

Cardiothoratic ratio (CTR) estimated from chest radiographs is a marker indicative of cardiomegaly, the presence of which is in the criteria for heart failure diagnosis. Existing m…

cs.SD2018

Deep Learning Approaches for Understanding Simple Speech Commands

Roman A. Solovyev, Maxim Vakhrushev, Alexander Radionov +2

Automatic classification of sound commands is becoming increasingly important, especially for mobile and embedded devices. Many of these devices contain both cameras and microphone…

cs.CV2018★ 30 cited

Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA

Roman Solovyev, Alexander Kustov, Dmitry Telpukhov +2

Modern mobile neural networks with a reduced number of weights and parameters do a good job with image classification tasks, but even they may be too complex to be implemented in a…