Viktor Rozgic

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 26

Top Topics

Variational Inference

Emotion Recognition

Event Detection

Top Venues

Publications

Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Weight-Sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints. ICASSP (2023)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Amit Solomon, Viktor Rozgic, Chao Wang
FedRPO: Federated Relaxed Pareto Optimization for Acoustic Event Classification. ICASSP (2023)
Guan-Ting Lin, Qingming Tang, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Weight-sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints. CoRR (2023)
Georgios Ioannides, Michael Owen, Andrew Fletcher, Viktor Rozgic, Chao Wang
Towards Paralinguistic-Only Speech Representations for End-to-End Speech Emotion Recognition. INTERSPEECH (2023)
Ayoub Ghriss, Bo Yang, Viktor Rozgic, Elizabeth Shriberg, Chao Wang
Sentiment-Aware Automatic Speech Recognition Pre-Training for Enhanced Speech Emotion Recognition. ICASSP (2022)
Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang
Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. ICASSP (2022)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Federated Self-Supervised Learning for Acoustic Event Classification. ICASSP (2022)
Ayoub Ghriss, Bo Yang, Viktor Rozgic, Elizabeth Shriberg, Chao Wang
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition. CoRR (2022)
Yang Li, Constantinos Papayiannis, Viktor Rozgic, Elizabeth Shriberg, Chao Wang
Confidence Estimation for Speech Emotion Recognition Based on the Relationship Between Emotion Categories and Primitives. ICASSP (2022)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Federated Self-Supervised Learning for Acoustic Event Classification. CoRR (2022)
Mao Li, Bo Yang, Joshua Levy, Andreas Stolcke, Viktor Rozgic, Spyros Matsoukas, Constantinos Papayiannis, Daniel Bone, Chao Wang
Contrastive Unsupervised Learning for Speech Emotion Recognition. ICASSP (2021)
Mao Li, Bo Yang, Joshua Levy, Andreas Stolcke, Viktor Rozgic, Spyros Matsoukas, Constantinos Papayiannis, Daniel Bone, Chao Wang
Contrastive Unsupervised Learning for Speech Emotion Recognition. CoRR (2021)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Semi-supervised Acoustic Event Detection based on tri-training. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models with Quantized Distillation. INTERSPEECH (2019)
Srinivas Parthasarathy, Viktor Rozgic, Ming Sun, Chao Wang
Improving Emotion Classification through Variational Inference of Latent Variables. ICASSP (2019)
Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang
Multimodal and Multi-view Models for Emotion Recognition. ACL (1) (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models With Quantized Distillation. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Semi-supervised Acoustic Event Detection Based on Tri-training. ICASSP (2019)
Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection. ICASSP (2019)
Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang
Multimodal and Multi-view Models for Emotion Recognition. CoRR (2019)
Constantinos Papayiannis, Justice Amoh, Viktor Rozgic, Shiva Sundaram, Chao Wang
Detecting Media Sound Presence in Acoustic Scenes. INTERSPEECH (2018)
Zhuolin Jiang, Yaming Wang, Larry S. Davis, Walter Andrews, Viktor Rozgic
Learning Discriminative Features via Label Consistent Neural Network. WACV (2017)
Zhuolin Jiang, Viktor Rozgic, Sancar Adali
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks. CoRR (2017)
Zhuolin Jiang, Viktor Rozgic, Sancar Adali
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks. CVPR Workshops (2017)
Zhuolin Jiang, Yaming Wang, Larry S. Davis, Walter Andrews, Viktor Rozgic
Learning Discriminative Features via Label Consistent Neural Network. CoRR (2016)
Xiaodan Zhuang, Viktor Rozgic, Michael Crystal, Brian Marx
Improving speech-based PTSD detection via multi-view learning. SLT (2014)
Xiaodan Zhuang, Viktor Rozgic, Michael Crystal
Compact unsupervised EEG response representation for emotion recognition. BHI (2014)
Viktor Rozgic, Amelio Vázquez Reina, Michael Crystal, Amit Srivastava, Veasna Tan, Chris Berka
Multi-modal prediction of PTSD and stress indicators. ICASSP (2014)
Viktor Rozgic, Shiv Naga Prasad Vitaladevuni, Rohit Prasad
Robust EEG emotion classification using segment level decision fusion. ICASSP (2013)
Viktor Rozgic, Sankaranarayanan Ananthakrishnan, Shirin Saleem, Rohit Kumar, Aravind Namandi Vembu, Rohit Prasad
Emotion Recognition using Acoustic and Lexical Features. INTERSPEECH (2012)
Viktor Rozgic, Sankaranarayanan Ananthakrishnan, Shirin Saleem, Rohit Kumar, Rohit Prasad
Ensemble of SVM trees for multimodal emotion recognition. APSIPA (2012)
Urbashi Mitra, B. Adar Emken, Sangwon Lee, Ming Li, Viktor Rozgic, Gautam Thatte, Harshvardhan Vathsangam, Daphney-Stavroula Zois, Murali Annavaram, Shrikanth S. Narayanan, Marco Levorato, Donna Spruijt-Metz, Gaurav S. Sukhatme
KNOWME: a case study in wireless body area sensor network design. IEEE Commun. Mag. 50 (5) (2012)
Bo Xiao, Viktor Rozgic, Athanasios Katsamanis, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Acoustic and Visual Cues of Turn-Taking Dynamics in Dyadic Interactions. INTERSPEECH (2011)
Viktor Rozgic, Bo Xiao, Athanasios Katsamanis, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Estimation of ordinal approach-avoidance labels in dyadic interactions: Ordinal logistic regression approach. ICASSP (2011)
Viktor Rozgic, Bo Xiao, Athanasios Katsamanis, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth S. Narayanan
A new multichannel multi modal dyadic interaction database. INTERSPEECH (2010)
Viktor Rozgic, Kyu Jeong Han, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Multimodal Speaker Segmentation and Identification in Presence of Overlapped Speech Segments. J. Multim. 5 (4) (2010)
Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz
Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection. DCOSS (2009)
Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz
Optimal time-resource allocation for activity-detection via multimodal sensing. BODYNETS (2009)
Viktor Rozgic, Kyu Jeong Han, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Multimodal Speaker Segmentation in Presence of Overlapped Speech Segments. ISM (2008)
Jorge F. Silva, Vivek Kumar Rangarajan Sridhar, Viktor Rozgic, Shrikanth S. Narayanan
Information Theoretic Analysis of Direct Articulatory Measurements for Phonetic Discrimination. ICASSP (4) (2007)
Viktor Rozgic, Carlos Busso, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Multimodal Meeting Monitoring: Improvements on Speaker Tracking and Segmentation through a Modified Mixture Particle Filter. MMSP (2007)