Saurabh Sahu

Orcid: 0000-0001-6222-1587

According to our database1, Saurabh Sahu authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Editorial: Deep learning with limited labeled data for vision, audio, and text.
Frontiers Artif. Intell., February, 2023

Label-Consistent Convolutional Dictionary Learning for Machine Inspection.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks.
IEEE Trans. Affect. Comput., 2022

Leveraging Local Temporal Information for Multimodal Scene Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Can't Fool Me: Adversarially Robust Transformer for Video Understanding.
CoRR, 2021

Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training.
CoRR, 2021

Uplink Transmission in MU Multi-Cell Massive MIMO-FBMC Systems over Ricean Fading.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Sensor Fusion Framework using Discriminative Autoencoders.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Cross-modal Learning for Multi-modal Video Categorization.
CoRR, 2020

Exploiting Temporal Coherence for Multi-modal Video Categorization.
CoRR, 2020

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Transform Learning for Multi-Sensor Fusion.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Towards Building generalizable speech Emotion Recognition Models.
PhD thesis, 2019

Multi-Modal Learning for Speech Emotion Recognition: An Analysis and Comparison of ASR Outputs with Ground Truth Transcription.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification.
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.
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.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016
Speech Features for Depression Detection.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016


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