Denis Dresvyanskiy

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Transfer Learning

Emotion Recognition

Top Venues

Publications

Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Peitong Li, Heysem Kaya, Alexey Karpov
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition. CoRR (2024)
Elena Ryumina, Denis Dresvyanskiy, Alexey Karpov
In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study. Neurocomputing 514 (2022)
Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey Karpov, Wolfgang Minker
End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild. Multimodal Technol. Interact. 6 (2) (2022)
Denis Dresvyanskiy, Yamini Sinha, Matthias Busch, Ingo Siegert, Alexey Karpov, Wolfgang Minker
DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game Recordings. SPECOM (2022)
Denis Dresvyanskiy, Wolfgang Minker, Alexey Karpov
Deep Learning Based Engagement Recognition in Highly Imbalanced Data. SPECOM (2021)
Oxana Verkholyak, Denis Dresvyanskiy, Anastasia Dvoynikova, Denis Kotov, Elena Ryumina, Alena Velichko, Danila Mamontov, Wolfgang Minker, Alexey Karpov
Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech. Interspeech (2021)
Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey A. Karpov, Wolfgang Minker
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild. CoRR (2020)
Maxim Markitantov, Denis Dresvyanskiy, Danila Mamontov, Heysem Kaya, Wolfgang Minker, Alexey Karpov
Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges. INTERSPEECH (2020)
Denis Dresvyanskiy, Tatiana Karaseva, Vitalii Makogin, Sergei Mitrofanov, Claudia Redenbach, Evgeny Spodarev
Detecting anomalies in fibre systems using 3-dimensional image data. Stat. Comput. 30 (4) (2020)
Heysem Kaya, Dmitrii Fedotov, Denis Dresvyanskiy, Metehan Doyran, Danila Mamontov, Maxim Markitantov, Alkim Almila Akdag Salah, Evrim Kavcar, Alexey Karpov, Albert Ali Salah
Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics. AVEC@MM (2019)
Denis Dresvyanskiy, Tatiana Karaseva, Sergei Mitrofanov, Claudia Redenbach, Stefanie Schwaar, Vitalii Makogin, Evgeny Spodarev
Application of Clustering Methods to Anomaly Detection in Fibrous Media. CoRR (2018)