Speech Features for Depression Detection. - Saurabh Sahu; Carol Y. Espy-Wilson (INTERSPEECH, 2016)

An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks. - Rahul Gupta 001; Saurabh Sahu; Carol Y. Espy-Wilson; Shrikanth S. Narayanan (INTERSPEECH, 2017)

Adversarial Auto-Encoders for Speech Based Emotion Recognition. - Saurabh Sahu; Rahul Gupta 001; Ganesh Sivaraman; Wael AbdAlmageed; Carol Y. Espy-Wilson (INTERSPEECH, 2017)

SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images. - Taruna Agrawal; Rahul Gupta 001; Saurabh Sahu; Carol Y. Espy-Wilson (MediaEval, 2017)

Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification. - Rahul Gupta 001; Saurabh Sahu; Carol Y. Espy-Wilson; Shrikanth S. Narayanan (ICASSP, 2018)

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition. - Saurabh Sahu; Rahul Gupta 001; Ganesh Sivaraman; Carol Y. Espy-Wilson (ICASSP, 2018)

On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks. - Saurabh Sahu; Rahul Gupta 001; Carol Y. Espy-Wilson (INTERSPEECH, 2018)

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 (INTERSPEECH, 2019)

Towards Building generalizable speech Emotion Recognition Models. - Saurabh Sahu (2019)

Deep Transform Learning for Multi-Sensor Fusion. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; M. Girish Chandra (EUSIPCO, 2020)

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. - Saurabh Sahu; Palash Goyal; Shalini Ghosh; Chul Lee (ACM Multimedia, 2020)

Exploiting Temporal Coherence for Multi-modal Video Categorization. - Palash Goyal; Saurabh Sahu; Shalini Ghosh; Chul Lee (CoRR, 2020)

Cross-modal Learning for Multi-modal Video Categorization. - Palash Goyal; Saurabh Sahu; Shalini Ghosh; Chul Lee (CoRR, 2020)

Multi-Sensor Fusion Framework using Discriminative Autoencoders. - Arup Kumar Das; Kriti Kumar; Angshul Majumdar; Saurabh Sahu; M. Girish Chandra (EUSIPCO, 2021)

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. - Kriti Kumar; Saurabh Sahu; Angshul Majumdar; M. Girish Chandra (IJCNN, 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 (VTC Fall, 2021)

Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training. - Saurabh Sahu; Palash Goyal (CoRR, 2021)

Can't Fool Me: Adversarially Robust Transformer for Video Understanding. - Divya Choudhary; Palash Goyal; Saurabh Sahu (CoRR, 2021)

Leveraging Local Temporal Information for Multimodal Scene Classification. - Saurabh Sahu; Palash Goyal (ICASSP, 2022)

Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks. - Saurabh Sahu; Rahul Gupta 001; Carol Y. Espy-Wilson (IEEE Trans. Affect. Comput., 2022)

Label-Consistent Convolutional Dictionary Learning for Machine Inspection. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 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., 2023)