| Sewa db: A rich database for audio-visual emotion and sentiment research in the wild J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ... IEEE transactions on pattern analysis and machine intelligence 43 (3), 1022-1040, 2019 | 276 | 2019 |
| Deep scalogram representations for acoustic scene classification Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018 | 146 | 2018 |
| Learning Image-based Representations for Heart Sound Classification Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018 | 91 | 2018 |
| Classification of the excitation location of snore sounds in the upper airway by acoustic multifeature analysis K Qian, C Janott, V Pandit, Z Zhang, C Heiser, W Hohenhorst, M Herzog, ... IEEE Transactions on Biomedical Engineering 64 (8), 1731-1741, 2016 | 90 | 2016 |
| Classification of melodic motifs in raga music with time-series matching P Rao, JC Ross, KK Ganguli, V Pandit, V Ishwar, A Bellur, HA Murthy Journal of New Music Research 43 (1), 115-131, 2014 | 72 | 2014 |
| Snoring classified: The Munich-Passau Snore Sound Corpus C Janott, M Schmitt, Y Zhang, K Qian, V Pandit, Z Zhang, C Heiser, ... Computers in biology and medicine 94, 106-118, 2018 | 65 | 2018 |
| Deep sequential image features on acoustic scene classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller Proc. DCASE Workshop, Munich, Germany, 113-117, 2017 | 54 | 2017 |
| A bag-of-audio-words approach for snore sounds' excitation localisation M Schmitt, C Janott, V Pandit, K Qian, C Heiser, W Hemmert, B Schuller Speech Communication; 12. ITG Symposium, 1-5, 2016 | 54 | 2016 |
| Wavelets revisited for the classification of acoustic scenes K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, B Schuller Proc. DCASE Workshop, Munich, Germany, 108-112, 2017 | 41 | 2017 |
| The many-to-many mapping between the concordance correlation coefficient and the mean square error V Pandit, B Schuller arXiv preprint arXiv:1902.05180, 2019 | 33 | 2019 |
| The University of Passau open emotion recognition system for the multimodal emotion challenge J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China …, 2016 | 32 | 2016 |
| Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data G Hagerer, V Pandit, F Eyben, B Schuller Audio Engineering Society Conference: 2017 AES International Conference on …, 2017 | 31 | 2017 |
| I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time V Pandit, M Schmitt, N Cummins, B Schuller Information Processing & Management 57 (6), 102347, 2020 | 17 | 2020 |
| Efficient Melodic Query Based Audio Search for Hindustani Vocal Compositions. KK Ganguli, A Rastogi, V Pandit, P Kantan, P Rao ISMIR, 591-597, 2015 | 13 | 2015 |
| Big data multimedia mining: feature extraction facing volume, velocity, and variety V Pandit, S Amiriparian, M Schmitt, A Mousa, B Schuller Big Data Analytics for Large-Scale Multimedia Search 61, 2019 | 11 | 2019 |
| How good is your model ‘really’? on ‘wildness’ of the in-the-wild speech-based affect recognisers V Pandit, M Schmitt, N Cummins, F Graf, L Paletta, B Schuller Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig …, 2018 | 6 | 2018 |
| Tracking Authentic and In-the-wild Emotions using Speech V Pandit, ... Proceedings of the first Asian Conference on Affective Computing and …, 0 | 6* | |
| Humans inside: cooperative big multimedia data mining S Amiriparian, M Schmitt, S Hantke, V Pandit, B Schuller Innovations in Big Data Mining and Embedded Knowledge, 235-257, 2019 | 5 | 2019 |
| Melodic motivic analysis of indian music P Rao, JC Ross, KK Ganguli, V Pandit, V Ishwar, A Bellur, HA Murthy Journal of New Music Research 43 (1), 115-131, 2014 | 5 | 2014 |
| I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild V Pandit, M Schmitt, N Cummins, B Schuller 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | 4 | 2019 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerifierad e-postadress på tum.de