| Multimodal physical activity recognition by fusing temporal and cepstral information M Li, V Rozgić, G Thatte, S Lee, A Emken, M Annavaram, U Mitra, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (4 …, 2010 | 161 | 2010 |
| Ensemble of svm trees for multimodal emotion recognition V Rozgić, S Ananthakrishnan, S Saleem, R Kumar, R Prasad Proceedings of the 2012 Asia Pacific signal and information processing …, 2012 | 142 | 2012 |
| Robust EEG emotion classification using segment level decision fusion V Rozgić, SN Vitaladevuni, R Prasad 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 135 | 2013 |
| KNOWME: a case study in wireless body area sensor network design U Mitra, BA Emken, S Lee, M Li, V Rozgic, G Thatte, H Vathsangam, ... IEEE Communications Magazine 50 (5), 116-125, 2012 | 108 | 2012 |
| Emotion Recognition using Acoustic and Lexical Features. V Rozgic, S Ananthakrishnan, S Saleem, R Kumar, AN Vembu, R Prasad INTERSPEECH 2012, 366-369, 2012 | 68 | 2012 |
| Contrastive unsupervised learning for speech emotion recognition M Li, B Yang, J Levy, A Stolcke, V Rozgic, S Matsoukas, C Papayiannis, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 59 | 2021 |
| Learning spatiotemporal features for infrared action recognition with 3d convolutional neural networks Z Jiang, V Rozgic, S Adali Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 59 | 2017 |
| Compact unsupervised EEG response representation for emotion recognition X Zhuang, V Rozgić, M Crystal IEEE-EMBS international conference on Biomedical and Health Informatics (BHI …, 2014 | 54 | 2014 |
| Multimodal and multi-view models for emotion recognition G Aguilar, V Rozgić, W Wang, C Wang arXiv preprint arXiv:1906.10198, 2019 | 52 | 2019 |
| Learning discriminative features via label consistent neural network Z Jiang, Y Wang, L Davis, W Andrews, V Rozgic 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 207-216, 2017 | 28 | 2017 |
| Sentiment-aware automatic speech recognition pre-training for enhanced speech emotion recognition A Ghriss, B Yang, V Rozgic, E Shriberg, C Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 25 | 2022 |
| Semi-supervised acoustic event detection based on tri-training B Shi, M Sun, CC Kao, V Rozgic, S Matsoukas, C Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 24 | 2019 |
| Improving emotion classification through variational inference of latent variables S Parthasarathy, V Rozgic, M Sun, C Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| Multi-modal prediction of ptsd and stress indicators V Rozgic, A Vazquez-Reina, M Crystal, A Srivastava, V Tan, C Berka 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 22 | 2014 |
| Estimation of ordinal approach-avoidance labels in dyadic interactions: Ordinal logistic regression approach V Rozgić, B Xiao, A Katsamanis, B Baucom, PG Georgiou, S Narayanan 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 21 | 2011 |
| Multi-view learning in detection of psychological states X Zhuang, V Rozgic, MR Crystal US Patent 9,792,823, 2017 | 20 | 2017 |
| Federated self-supervised learning for acoustic event classification M Feng, CC Kao, Q Tang, M Sun, V Rozgic, S Matsoukas, C Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 18 | 2022 |
| Compression of acoustic event detection models with low-rank matrix factorization and quantization training B Shi, M Sun, CC Kao, V Rozgic, S Matsoukas, C Wang arXiv preprint arXiv:1905.00855, 2019 | 17 | 2019 |
| A new multichannel multi modal dyadic interaction database. V Rozgic, B Xiao, A Katsamanis, BR Baucom, PG Georgiou, ... INTERSPEECH, 1982-1985, 2010 | 17 | 2010 |
| Media presence detection Q Tang, M Sun, CC Kao, C Wang, V Rozgic US Patent 11,069,352, 2021 | 16 | 2021 |
