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Denis Dresvyanskiy
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2020 – today
- 2024
- [c7]Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Heysem Kaya, Alexey Karpov:
Multi-modal Arousal and Valence Estimation under Noisy Conditions. CVPR Workshops 2024: 4773-4783 - [c6]Denis Dresvyanskiy, Alexey Karpov, Wolfgang Minker:
A Cross-Multi-modal Fusion Approach for Enhanced Engagement Recognition. SPECOM (2) 2024: 3-17 - [i3]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 abs/2403.12609 (2024) - 2022
- [j3]Elena Ryumina, Denis Dresvyanskiy, Alexey Karpov:
In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study. Neurocomputing 514: 435-450 (2022) - [j2]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): 11 (2022) - [c5]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: 163-177 - 2021
- [c4]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: 481-485 - [c3]Denis Dresvyanskiy, Wolfgang Minker, Alexey Karpov:
Deep Learning Based Engagement Recognition in Highly Imbalanced Data. SPECOM 2021: 166-178 - 2020
- [j1]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): 817-837 (2020) - [c2]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: 2072-2076 - [i2]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 abs/2010.03692 (2020)
2010 – 2019
- 2019
- [c1]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: 27-35 - 2018
- [i1]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 abs/1810.12401 (2018)
Coauthor Index
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last updated on 2024-12-23 19:29 CET by the dblp team
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