1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
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,…
cs.CV2024★ 1 cited
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…
eess.IV2021
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…