In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study E Ryumina, D Dresvyanskiy, A Karpov Neurocomputing 514, 435-450, 2022 | 67 | 2022 |
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics H Kaya, D Fedotov, D Dresvyanskiy, M Doyran, D Mamontov, ... Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019 | 47 | 2019 |
Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges. M Markitantov, D Dresvyanskiy, D Mamontov, H Kaya, W Minker, ... INTERSPEECH, 2072-2076, 2020 | 43 | 2020 |
End-to-end modeling and transfer learning for audiovisual emotion recognition in-the-wild D Dresvyanskiy, E Ryumina, H Kaya, M Markitantov, A Karpov, W Minker Multimodal Technologies and Interaction 6 (2), 11, 2022 | 34 | 2022 |
An audio-video deep and transfer learning framework for multimodal emotion recognition in the wild D Dresvyanskiy, E Ryumina, H Kaya, M Markitantov, A Karpov, W Minker arXiv preprint arXiv:2010.03692, 2020 | 26 | 2020 |
Deep learning based engagement recognition in highly imbalanced data D Dresvyanskiy, W Minker, A Karpov Speech and Computer: 23rd International Conference, SPECOM 2021, St …, 2021 | 17 | 2021 |
Detecting anomalies in fibre systems using 3-dimensional image data D Dresvyanskiy, T Karaseva, V Makogin, S Mitrofanov, C Redenbach, ... Statistics and Computing 30 (4), 817-837, 2020 | 9 | 2020 |
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition D Dresvyanskiy, M Markitantov, J Yu, P Li, H Kaya, A Karpov arXiv preprint arXiv:2403.12609, 2024 | 7 | 2024 |
DyCoDa: A multi-modal data collection of multi-user remote survival game recordings D Dresvyanskiy, Y Sinha, M Busch, I Siegert, A Karpov, W Minker International Conference on Speech and Computer, 163-177, 2022 | 4 | 2022 |
Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech. O Verkholyak, D Dresvyanskiy, A Dvoynikova, D Kotov, E Ryumina, ... Interspeech, 481-485, 2021 | 4 | 2021 |
Application of clustering methods to anomaly detection in fibrous media D Dresvyanskiy, T Karaseva, S Mitrofanov, C Redenbach, S Schwaar, ... IOP Conference Series: Materials Science and Engineering 537 (2), 022001, 2019 | 4 | 2019 |
On biology-inspired stochastic algorithms for solving combinatorial optimization problems DV Dresvyanskiy Молодежь. Общество. Современная наука, техника и инновации, 254-256, 2018 | 2 | 2018 |
A Cross-Multi-modal Fusion Approach for Enhanced Engagement Recognition D Dresvyanskiy, A Karpov, W Minker International Conference on Speech and Computer, 3-17, 2024 | 1 | 2024 |
Multi-modal arousal and valence estimation under noisy conditions D Dresvyanskiy, M Markitantov, J Yu, H Kaya, A Karpov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Institute of Communications Engineering Staff R Fischer, W Minker, M Bossert, J Lindner, C Schlick, W Hack, S Stern, ... Satellite Communications 25, 2024 | | 2024 |
DyCoDa: A Multi-modal Data Collection D Dresvyanskiy, Y Sinha, M Busch Speech and Computer: 24th International Conference, SPECOM 2022, Gurugram …, 2022 | | 2022 |
Engagement recognition using audio channel only D Dresvyanskiy, I Siegert, A Karpov, W Minker https://opendata. uni-halle. de//handle/1981185920/38717, 2021 | | 2021 |
Cooperative ant colony optimization for a hierarchical scheduling problem D Dresvyanskiy, O Semenkina, EA Popov IOP Conference Series: Materials Science and Engineering 734 (1), 012106, 2020 | | 2020 |