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Srinivas Parthasarathy
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2020 – today
- 2022
- [c20]Raghuveer Peri, Srinivas Parthasarathy, Shiva Sundaram:
Scene Representation Learning from Videos Using Self-Supervised and Weakly-Supervised Techniques. ICIP 2022: 1671-1675 - 2021
- [j5]Srinivas Parthasarathy, Carlos Busso:
Predicting Emotionally Salient Regions Using Qualitative Agreement of Deep Neural Network Regressors. IEEE Trans. Affect. Comput. 12(2): 402-416 (2021) - [c19]Raghuveer Peri, Srinivas Parthasarathy, Charles Bradshaw, Shiva Sundaram:
Disentanglement for Audio-Visual Emotion Recognition Using Multitask Setup. ICASSP 2021: 6344-6348 - [c18]Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram:
Self-Supervised Learning with Cross-Modal Transformers for Emotion Recognition. SLT 2021: 381-388 - [c17]Srinivas Parthasarathy, Shiva Sundaram:
Detecting Expressions with Multimodal Transformers. SLT 2021: 636-643 - [i7]Raghuveer Peri, Srinivas Parthasarathy, Charles Bradshaw, Shiva Sundaram:
Disentanglement for audio-visual emotion recognition using multitask setup. CoRR abs/2102.06269 (2021) - 2020
- [j4]Srinivas Parthasarathy, Carlos Busso:
Semi-Supervised Speech Emotion Recognition With Ladder Networks. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2697-2709 (2020) - [c16]Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram:
Multimodal and Multiresolution Speech Recognition with Transformers. ACL 2020: 2381-2387 - [c15]Srinivas Parthasarathy, Shiva Sundaram:
Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition. ICMI Companion 2020: 400-404 - [c14]Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram:
Multi-Modal Embeddings Using Multi-Task Learning for Emotion Recognition. INTERSPEECH 2020: 384-388 - [i6]Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram:
Multiresolution and Multimodal Speech Recognition with Transformers. CoRR abs/2004.14840 (2020) - [i5]Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram:
Multi-modal embeddings using multi-task learning for emotion recognition. CoRR abs/2009.05019 (2020) - [i4]Srinivas Parthasarathy, Shiva Sundaram:
Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition. CoRR abs/2010.00734 (2020) - [i3]Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram:
Self-Supervised learning with cross-modal transformers for emotion recognition. CoRR abs/2011.10652 (2020) - [i2]Srinivas Parthasarathy, Shiva Sundaram:
Detecting expressions with multimodal transformers. CoRR abs/2012.00063 (2020)
2010 – 2019
- 2019
- [c13]Srinivas Parthasarathy, Viktor Rozgic, Ming Sun, Chao Wang:
Improving Emotion Classification through Variational Inference of Latent Variables. ICASSP 2019: 7410-7414 - 2018
- [c12]Srinivas Parthasarathy, Carlos Busso:
Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations. INTERSPEECH 2018: 252-256 - [c11]Kusha Sridhar, Srinivas Parthasarathy, Carlos Busso:
Role of Regularization in the Prediction of Valence from Speech. INTERSPEECH 2018: 941-945 - [c10]Srinivas Parthasarathy, Carlos Busso:
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes. INTERSPEECH 2018: 3698-3702 - [c9]Srinivas Parthasarathy, Ivan Tashev:
Convolutional Neural Network Techniques for Speech Emotion Recognition. IWAENC 2018: 121-125 - [i1]Srinivas Parthasarathy, Carlos Busso:
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes. CoRR abs/1804.10816 (2018) - 2017
- [j3]Carlos Busso, Srinivas Parthasarathy, Alec Burmania, Mohammed Abdel-Wahab, Najmeh Sadoughi, Emily Mower Provost:
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception. IEEE Trans. Affect. Comput. 8(1): 67-80 (2017) - [c8]Srinivas Parthasarathy, Carlos Busso:
Predicting speaker recognition reliability by considering emotional content. ACII 2017: 434-439 - [c7]Srinivas Parthasarathy, Reza Lotfian, Carlos Busso:
Ranking emotional attributes with deep neural networks. ICASSP 2017: 4995-4999 - [c6]Srinivas Parthasarathy, Chunlei Zhang, John H. L. Hansen, Carlos Busso:
A study of speaker verification performance with expressive speech. ICASSP 2017: 5540-5544 - [c5]Srinivas Parthasarathy, Carlos Busso:
Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning. INTERSPEECH 2017: 1103-1107 - 2016
- [j2]Alec Burmania, Srinivas Parthasarathy, Carlos Busso:
Increasing the Reliability of Crowdsourcing Evaluations Using Online Quality Assessment. IEEE Trans. Affect. Comput. 7(4): 374-388 (2016) - [j1]Srinivas Parthasarathy, Roddy Cowie, Carlos Busso:
Using Agreement on Direction of Change to Build Rank-Based Emotion Classifiers. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2108-2121 (2016) - [c4]Taufiq Hasan, Mohammed Abdel-Wahab, Srinivas Parthasarathy, Carlos Busso, Yang Liu:
Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features. ICASSP 2016: 6080-6084 - [c3]Srinivas Parthasarathy, Carlos Busso:
Defining Emotionally Salient Regions Using Qualitative Agreement Method. INTERSPEECH 2016: 3598-3602 - 2015
- [c2]Srinivas Parthasarathy, Taufiq Hasan:
Automatic broadcast news summarization via rank classifiers and crowdsourced annotation. ICASSP 2015: 5256-5260 - 2012
- [c1]Srinivas Parthasarathy, Akul Chopra, Emilie Baudin, Pravin Kumar Rana, Markus Flierl:
Denoising of volumetric depth confidence for view rendering. 3DTV-Conference 2012: 1-4
Coauthor Index
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