Viktor Rozgic
Viktor Rozgic
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Tytuł
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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
1402010
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
992012
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
952013
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
852012
Emotion recognition using acoustic and lexical features
V Rozgić, S Ananthakrishnan, S Saleem, R Kumar, AN Vembu, R Prasad
Thirteenth Annual Conference of the International Speech Communication …, 2012
432012
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
412014
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
242017
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
222017
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
212011
Multimodal and multi-view models for emotion recognition
G Aguilar, V Rozgić, W Wang, C Wang
arXiv preprint arXiv:1906.10198, 2019
182019
A new multichannel multi modal dyadic interaction database.
V Rozgic, B Xiao, A Katsamanis, BR Baucom, PG Georgiou, ...
INTERSPEECH, 1982-1985, 2010
162010
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
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
122019
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
122019
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
Optimal allocation of time-resources for multihypothesis activity-level detection
G Thatte, V Rozgic, M Li, S Ghosh, U Mitra, S Narayanan, M Annavaram, ...
International Conference on Distributed Computing in Sensor Systems, 273-286, 2009
92009
Multimodal speaker segmentation in presence of overlapped speech segments
V Rozgic, KJ Han, PG Georgiou, S Narayanan
2008 Tenth IEEE International Symposium on Multimedia, 679-684, 2008
92008
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
82014
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
72019
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