Saurabh Sahu

According to our database, Saurabh Sahu authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Editorial: Deep learning with limited labeled data for vision, audio, and text.

Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri

Frontiers Artif. Intell., February, 2023

Label-Consistent Convolutional Dictionary Learning for Machine Inspection.

Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks.

Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson

IEEE Trans. Affect. Comput., 2022

Leveraging Local Temporal Information for Multimodal Scene Classification.

Saurabh Sahu, Palash Goyal

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Can't Fool Me: Adversarially Robust Transformer for Video Understanding.

Divya Choudhary, Palash Goyal, Saurabh Sahu

CoRR, 2021

Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training.

Saurabh Sahu, Palash Goyal

CoRR, 2021

Uplink Transmission in MU Multi-Cell Massive MIMO-FBMC Systems over Ricean Fading.

Shivani Singh, Prem Singh, Saurabh Sahu, Kasturi Vasudevan, Himanshu B. Mishra

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework.

Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Sensor Fusion Framework using Discriminative Autoencoders.

Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Cross-modal Learning for Multi-modal Video Categorization.

Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee

CoRR, 2020

Exploiting Temporal Coherence for Multi-modal Video Categorization.

Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee

CoRR, 2020

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models.

Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Transform Learning for Multi-Sensor Fusion.

Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Towards Building generalizable speech Emotion Recognition Models.

Saurabh Sahu

PhD thesis, 2019

Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription.

Saurabh Sahu, Vikramjit Mitra, Nadee Seneviratne, Carol Y. Espy-Wilson

Proceedings of the Interspeech 2019, 2019

2018

On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks.

Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson

Proceedings of the Interspeech 2018, 2018

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition.

Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Carol Y. Espy-Wilson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification.

Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images.

Taruna Agrawal, Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Adversarial Auto-Encoders for Speech Based Emotion Recognition.

Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael AbdAlmageed, Carol Y. Espy-Wilson

Proceedings of the Interspeech 2017, 2017

An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks.

Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan

Proceedings of the Interspeech 2017, 2017

2016

Speech Features for Depression Detection.

Saurabh Sahu, Carol Y. Espy-Wilson

Proceedings of the Interspeech 2016, 2016