Improving Gender Identification in Movie Audio Using Cross-Domain Data. - Rajat Hebbar; Krishna Somandepalli; Shrikanth S. Narayanan (INTERSPEECH, 2018)

Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental Evaluation. - Rajat Hebbar; Krishna Somandepalli; Shrikanth S. Narayanan (ICASSP, 2019)

Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos. - Krishna Somandepalli; Rajat Hebbar; Shrikanth Narayanan (CoRR, 2020)

A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings. - Rajat Hebbar; Krishna Somandepalli; Raghuveer Peri; Ruchir Travadi; Tracy Tuplin; Fernando Rivera; Shrikanth Narayanan (CBMI, 2021)

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. - Tiantian Feng; Hanieh Hashemi; Rajat Hebbar; Murali Annavaram; Shrikanth S. Narayanan (CoRR, 2021)

Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices. - Rajat Hebbar; Pavlos Papadopoulos; Ramon Reyes; Alexander F. Danvers; Angelina J. Polsinelli; Suzanne A. Moseley; David A. Sbarra; Matthias R. Mehl; Shrikanth Narayanan (EURASIP J. Audio Speech Music. Process., 2021)

A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness. - Tiantian Feng; Rajat Hebbar; Nicholas Mehlman; Xuan Shi; Aditya Kommineni; Shrikanth Narayanan (CoRR, 2022)

Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation. - Krishna Somandepalli; Rajat Hebbar; Shrikanth Narayanan (IEEE Trans. Multim., 2022)

Contextually-Rich Human Affect Perception Using Multimodal Scene Information. - Digbalay Bose; Rajat Hebbar; Krishna Somandepalli; Shrikanth Narayanan (ICASSP, 2023)

A Dataset for Audio-Visual Sound Event Detection in Movies. - Rajat Hebbar; Digbalay Bose; Krishna Somandepalli; Veena Vijai; Shrikanth Narayanan (ICASSP, 2023)

Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism. - Rimita Lahiri; Tiantian Feng; Rajat Hebbar; Catherine Lord; So Hyun Kim; Shrikanth Narayanan (INTERSPEECH, 2023)

Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings. - Anfeng Xu; Rajat Hebbar; Rimita Lahiri; Tiantian Feng; Lindsay Butler; Lue Shen; Helen Tager-Flusberg; Shrikanth Narayanan (INTERSPEECH, 2023)

FedMultimodal: A Benchmark for Multimodal Federated Learning. - Tiantian Feng; Digbalay Bose; Tuo Zhang; Rajat Hebbar; Anil Ramakrishna; Rahul Gupta 001; Mi Zhang 002; Salman Avestimehr; Shrikanth Narayanan (KDD, 2023)

MM-AU: Towards Multimodal Understanding of Advertisement Videos. - Digbalay Bose; Rajat Hebbar; Tiantian Feng; Krishna Somandepalli; Anfeng Xu; Shrikanth Narayanan (ACM Multimedia, 2023)

SEAR: Semantically-grounded Audio Representations. - Rajat Hebbar; Digbalay Bose; Shrikanth Narayanan (ACM Multimedia, 2023)

MovieCLIP: Visual Scene Recognition in Movies. - Digbalay Bose; Rajat Hebbar; Krishna Somandepalli; Haoyang Zhang; Yin Cui; Kree Cole-McLaughlin; Huisheng Wang; Shrikanth Narayanan (WACV, 2023)

TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition. - Tiantian Feng; Rajat Hebbar; Shrikanth Narayanan (CoRR, 2023)

TRUST-SER: On The Trustworthiness Of Fine-Tuning Pre-Trained Speech Embeddings For Speech Emotion Recognition. - Tiantian Feng; Rajat Hebbar; Shrikanth Narayanan (ICASSP, 2024)

CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video. - Parsa Hejabi; Akshay Kiran Padte; Preni Golazizian; Rajat Hebbar; Jackson Trager; Georgios Chochlakis; Aditya Kommineni; Ellie Graeden; Shrikanth Narayanan; Benjamin A. T. Grahama; Morteza Dehghani (IJCAI, 2024)

A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles. - Benjamin A. T. Grahama; Lauren Brown; Georgios Chochlakis; Morteza Dehghani; Raquel Delerme; Brittany Friedman; Ellie Graeden; Preni Golazizian; Rajat Hebbar; Parsa Hejabi; Aditya Kommineni; Mayagüez Salinas; et al. (CoRR, 2024)