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Rajat Hebbar

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A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles

Feb 08, 2024
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, Michael Sierra-Arévalo, Jackson Trager, Nicholas Weller, Shrikanth Narayan

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MM-AU:Towards Multimodal Understanding of Advertisement Videos

Aug 27, 2023
Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan

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Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism

Jul 31, 2023
Rimita Lahiri, Tiantian Feng, Rajat Hebbar, Catherine Lord, So Hyun Kim, Shrikanth Narayanan

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FedMultimodal: A Benchmark For Multimodal Federated Learning

Jun 20, 2023
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan

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Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings

May 23, 2023
Anfeng Xu, Rajat Hebbar, Rimita Lahiri, Tiantian Feng, Lindsay Butler, Lue Shen, Helen Tager-Flusberg, Shrikanth Narayanan

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TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition

May 18, 2023
Tiantian Feng, Rajat Hebbar, Shrikanth Narayanan

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Contextually-rich human affect perception using multimodal scene information

Mar 13, 2023
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan

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A dataset for Audio-Visual Sound Event Detection in Movies

Feb 14, 2023
Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan

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