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)

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 001; Albert Ali Salah (AVEC@MM, 2019)

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 001 (INTERSPEECH, 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)

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)

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 001 (Interspeech, 2021)

Deep Learning Based Engagement Recognition in Highly Imbalanced Data. - Denis Dresvyanskiy; Wolfgang Minker; Alexey Karpov 001 (SPECOM, 2021)

DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game Recordings. - Denis Dresvyanskiy; Yamini Sinha; Matthias Busch; Ingo Siegert; Alexey Karpov 001; Wolfgang Minker (SPECOM, 2022)

In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study. - Elena Ryumina; Denis Dresvyanskiy; Alexey Karpov 001 (Neurocomputing, 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 001; Wolfgang Minker (Multimodal Technol. Interact., 2022)

Multi-modal Arousal and Valence Estimation under Noisy Conditions. - Denis Dresvyanskiy; Maxim Markitantov; Jiawei Yu; Heysem Kaya; Alexey Karpov 001 (CVPR Workshops, 2024)

A Cross-Multi-modal Fusion Approach for Enhanced Engagement Recognition. - Denis Dresvyanskiy; Alexey Karpov 001; Wolfgang Minker (SPECOM (2), 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 001 (CoRR, 2024)