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Viktor Rozgic
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Cited by
Cited by
Year
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
1502010
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
1142013
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
1012012
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
982012
Emotion Recognition using Acoustic and Lexical Features.
V Rozgic, S Ananthakrishnan, S Saleem, R Kumar, AN Vembu, R Prasad
INTERSPEECH 2012, 366-369, 2012
492012
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
452014
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
372017
Multimodal and multi-view models for emotion recognition
G Aguilar, V Rozgić, W Wang, C Wang
arXiv preprint arXiv:1906.10198, 2019
282019
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
252017
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
222011
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
172019
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
152019
A new multichannel multi modal dyadic interaction database.
V Rozgic, B Xiao, A Katsamanis, BR Baucom, PG Georgiou, ...
INTERSPEECH, 1982-1985, 2010
152010
Multimodal meeting monitoring: Improvements on speaker tracking and segmentation through a modified mixture particle filter
V Rozgic, C Busso, PG Georgiou, S Narayanan
2007 IEEE 9th Workshop on Multimedia Signal Processing, 60-65, 2007
152007
Acoustic and visual cues of turn-taking dynamics in dyadic interactions
B Xiao, V Rozgić, A Katsamanis, BR Baucom, PG Georgiou, S Narayanan
Twelfth Annual Conference of the International Speech Communication Association, 2011
132011
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
122021
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
112014
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
102019
Multi-view learning in detection of psychological states
X Zhuang, V Rozgic, MR Crystal
US Patent 9,792,823, 2017
92017
Improving speech-based PTSD detection via multi-view learning
X Zhuang, V Rozgić, M Crystal, BP Marx
2014 IEEE Spoken Language Technology Workshop (SLT), 260-265, 2014
92014
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Articles 1–20