49 citations · 54 across the 5 of their papers we have counts for
5 papers
Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
Ilya Burenko, Dmitry Vetrov
In multimodal classification, late-fusion approaches classify concatenated modality-specific features extracted by unimodal neural networks. When modality imbalance is pronounced,…
Leveraging Speech for Gesture Detection in Multimodal Communication
Esam Ghaleb, Ilya Burenko, Marlou Rasenberg +7
Gestures are inherent to human interaction and often complement speech in face-to-face communication, forming a multimodal communication system. An important task in gesture analys…
Co-Speech Gesture Detection through Multi-Phase Sequence Labeling
Esam Ghaleb, Ilya Burenko, Marlou Rasenberg +6
Gestures are integral components of face-to-face communication. They unfold over time, often following predictable movement phases of preparation, stroke, and retraction. Yet, the…
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin +4
The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions. In this paper we propose a machine learning method to quickly tria…
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Manvel Avetisian, Ilya Burenko, Konstantin Egorov +7
Analysis of chest CT scans can be used in detecting parts of lungs that are affected by infectious diseases such as COVID-19.Determining the volume of lungs affected by lesions is…