| Hidden Markov model-based speech emotion recognition B Schuller, G Rigoll, M Lang 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 749 | 2003 |
| Background segmentation with feedback: The pixel-based adaptive segmenter M Hofmann, P Tiefenbacher, G Rigoll 2012 IEEE computer society conference on computer vision and pattern …, 2012 | 693 | 2012 |
| SVC2004: First international signature verification competition DY Yeung, H Chang, Y Xiong, S George, R Kashi, T Matsumoto, G Rigoll International conference on biometric authentication, 16-22, 2004 | 574 | 2004 |
| Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture B Schuller, G Rigoll, M Lang 2004 IEEE international conference on acoustics, speech, and signal …, 2004 | 522 | 2004 |
| Cross-corpus acoustic emotion recognition: Variances and strategies B Schuller, B Vlasenko, F Eyben, M Wöllmer, A Stuhlsatz, A Wendemuth, ... IEEE Transactions on Affective Computing 1 (2), 119-131, 2010 | 372 | 2010 |
| A deep convolutional neural network for video sequence background subtraction M Babaee, DT Dinh, G Rigoll Pattern Recognition 76, 635-649, 2018 | 311 | 2018 |
| Acoustic emotion recognition: A benchmark comparison of performances B Schuller, B Vlasenko, F Eyben, G Rigoll, A Wendemuth 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 552-557, 2009 | 303 | 2009 |
| LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework M Wöllmer, M Kaiser, F Eyben, B Schuller, G Rigoll Image and Vision Computing 31 (2), 153-163, 2013 | 282 | 2013 |
| Speaker adaptation for large vocabulary speech recognition systems using speaker Markov models G Rigoll International Conference on Acoustics, Speech, and Signal Processing,, 5-8, 1989 | 236 | 1989 |
| Recognition of JPEG compressed face images based on statistical methods S Eickeler, S Müller, G Rigoll Image and Vision Computing 18 (4), 279-287, 2000 | 224 | 2000 |
| Being bored? Recognising natural interest by extensive audiovisual integration for real-life application B Schuller, R Müller, F Eyben, J Gast, B Hörnler, M Wöllmer, G Rigoll, ... Image and Vision Computing 27 (12), 1760-1774, 2009 | 213 | 2009 |
| The tum gait from audio, image and depth (gaid) database: Multimodal recognition of subjects and traits M Hofmann, J Geiger, S Bachmann, B Schuller, G Rigoll Journal of Visual Communication and Image Representation 25 (1), 195-206, 2014 | 192 | 2014 |
| High performance real-time gesture recognition using hidden markov models G Rigoll, A Kosmala, S Eickeler International Gesture Workshop, 69-80, 1997 | 188 | 1997 |
| Combining long short-term memory and dynamic bayesian networks for incremental emotion-sensitive artificial listening M Wöllmer, B Schuller, F Eyben, G Rigoll IEEE Journal of selected topics in signal processing 4 (5), 867-881, 2010 | 184 | 2010 |
| Speaker independent emotion recognition by early fusion of acoustic and linguistic features within ensemble B Schuller, R Müller, M Lang, G Rigoll Proc. of Interspeech 2005-Proc. Europ. Conf. on Speech Communication and …, 2005 | 178 | 2005 |
| Hidden markov model based continuous online gesture recognition S Eickeler, A Kosmala, G Rigoll Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998 | 174 | 1998 |
| Speaker independent speech emotion recognition by ensemble classification B Schuller, S Reiter, R Muller, M Al-Hames, M Lang, G Rigoll 2005 IEEE international conference on multimedia and expo, 864-867, 2005 | 167 | 2005 |
| Multi-view gait recognition using 3D convolutional neural networks T Wolf, M Babaee, G Rigoll 2016 IEEE International Conference on Image Processing (ICIP), 4165-4169, 2016 | 162 | 2016 |
| A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models G Rigoll, A Kosmala Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998 | 150 | 1998 |
| Large-scale audio feature extraction and SVM for acoustic scene classification JT Geiger, B Schuller, G Rigoll 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 129 | 2013 |
