Denis Dresvyanskiy

According to our database, Denis Dresvyanskiy authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition.

Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Peitong Li, Heysem Kaya, Alexey Karpov

CoRR, 2024

A Cross-Multi-modal Fusion Approach for Enhanced Engagement Recognition.

Denis Dresvyanskiy, Alexey Karpov, Wolfgang Minker

Proceedings of the Speech and Computer - 26th International Conference, 2024

Multi-modal Arousal and Valence Estimation under Noisy Conditions.

Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Heysem Kaya, Alexey Karpov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild.

Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey Karpov, Wolfgang Minker

Multimodal Technol. Interact., 2022

In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study.

Elena Ryumina, Denis Dresvyanskiy, Alexey Karpov

Neurocomputing, 2022

DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game Recordings.

Denis Dresvyanskiy, Yamini Sinha, Matthias Busch, Ingo Siegert, Alexey Karpov, Wolfgang Minker

Proceedings of the Speech and Computer - 24th International Conference, 2022

2021

Deep Learning Based Engagement Recognition in Highly Imbalanced Data.

Denis Dresvyanskiy, Wolfgang Minker, Alexey Karpov

Proceedings of the Speech and Computer - 23rd International Conference, 2021

Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech.

Oxana Verkholyak, Denis Dresvyanskiy, Anastasia Dvoynikova, Denis Kotov, Elena Ryumina, Alena Velichko, Danila Mamontov, Wolfgang Minker, Alexey Karpov

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Detecting anomalies in fibre systems using 3-dimensional image data.

Denis Dresvyanskiy, Tatiana Karaseva, Vitalii Makogin, Sergei Mitrofanov, Claudia Redenbach, Evgeny Spodarev

Stat. Comput., 2020

An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild.

Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey A. Karpov, Wolfgang Minker

CoRR, 2020

Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges.

Maxim Markitantov, Denis Dresvyanskiy, Danila Mamontov, Heysem Kaya, Wolfgang Minker, Alexey Karpov

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics.

Heysem Kaya, Dmitrii Fedotov, Denis Dresvyanskiy, Metehan Doyran, Danila Mamontov, Maxim Markitantov, Alkim Almila Akdag Salah, Evrim Kavcar, Alexey Karpov, Albert Ali Salah

Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019

2018

Application of Clustering Methods to Anomaly Detection in Fibrous Media.

Denis Dresvyanskiy, Tatiana Karaseva, Sergei Mitrofanov, Claudia Redenbach, Stefanie Schwaar, Vitalii Makogin, Evgeny Spodarev

CoRR, 2018