528 citations
- Cork University HospitalIE2 papers
- Russian Academy of SciencesRU2 papers
- Arrow International (United States)US1 paper
- Central Conservatory of MusicCN1 paper
- Centro Universitário de João PessoaBR1 paper
- Dexerials (Japan)JP1 paper
- Eiken Chemical (Japan)JP1 paper
- Florida Gateway CollegeUS1 paper
- Institute of MicroelectronicsCN1 paper
- Kansas State UniversityUS1 paper
- Korea UniversityKR1 paper
- Lake City VA Medical CenterUS1 paper
5 papers
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…
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…
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…
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…
Cluster Diffusion and Coalescence on Metal Surfaces: applications of a Self-learning Kinetic Monte-Carlo method
Talat S. Rahman, Abdelkader Kara, Altaf Karim +1
The Kinetic Monte Carlo (KMC) method has become an important tool for examination of phenomena like surface diffusion and thin film growth because of its ability to carry out simul…