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Rajat Hebbar
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 25
Top Topics
Los Angeles
Multiple Instance
Speech Emotion Recognition
Multi Modal
Top Venues
CoRR
ICASSP
INTERSPEECH
ACM Multimedia
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Publications
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Tiantian Feng
,
Rajat Hebbar
,
Shrikanth Narayanan
TRUST-SER: On The Trustworthiness Of Fine-Tuning Pre-Trained Speech Embeddings For Speech Emotion Recognition.
ICASSP
(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
A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles.
CoRR
(2024)
Tiantian Feng
,
Digbalay Bose
,
Tuo Zhang
,
Rajat Hebbar
,
Anil Ramakrishna
,
Rahul Gupta
,
Mi Zhang
,
Salman Avestimehr
,
Shrikanth Narayanan
FedMultimodal: A Benchmark for Multimodal Federated Learning.
KDD
(2023)
Digbalay Bose
,
Rajat Hebbar
,
Tiantian Feng
,
Krishna Somandepalli
,
Anfeng Xu
,
Shrikanth Narayanan
MM-AU: Towards Multimodal Understanding of Advertisement Videos.
ACM Multimedia
(2023)
Rajat Hebbar
,
Digbalay Bose
,
Krishna Somandepalli
,
Veena Vijai
,
Shrikanth Narayanan
A dataset for Audio-Visual Sound Event Detection in Movies.
CoRR
(2023)
Digbalay Bose
,
Rajat Hebbar
,
Krishna Somandepalli
,
Haoyang Zhang
,
Yin Cui
,
Kree Cole-McLaughlin
,
Huisheng Wang
,
Shrikanth Narayanan
MovieCLIP: Visual Scene Recognition in Movies.
WACV
(2023)
Rajat Hebbar
,
Digbalay Bose
,
Krishna Somandepalli
,
Veena Vijai
,
Shrikanth Narayanan
A Dataset for Audio-Visual Sound Event Detection in Movies.
ICASSP
(2023)
Tiantian Feng
,
Rajat Hebbar
,
Shrikanth Narayanan
TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition.
CoRR
(2023)
Anfeng Xu
,
Rajat Hebbar
,
Rimita Lahiri
,
Tiantian Feng
,
Lindsay Butler
,
Lue Shen
,
Helen Tager-Flusberg
,
Shrikanth Narayanan
Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings.
CoRR
(2023)
Digbalay Bose
,
Rajat Hebbar
,
Tiantian Feng
,
Krishna Somandepalli
,
Anfeng Xu
,
Shrikanth Narayanan
MM-AU: Towards Multimodal Understanding of Advertisement Videos.
CoRR
(2023)
Tiantian Feng
,
Digbalay Bose
,
Tuo Zhang
,
Rajat Hebbar
,
Anil Ramakrishna
,
Rahul Gupta
,
Mi Zhang
,
Salman Avestimehr
,
Shrikanth Narayanan
FedMultimodal: A Benchmark For Multimodal Federated Learning.
CoRR
(2023)
Digbalay Bose
,
Rajat Hebbar
,
Krishna Somandepalli
,
Shrikanth Narayanan
Contextually-rich human affect perception using multimodal scene information.
CoRR
(2023)
Anfeng Xu
,
Rajat Hebbar
,
Rimita Lahiri
,
Tiantian Feng
,
Lindsay Butler
,
Lue Shen
,
Helen Tager-Flusberg
,
Shrikanth Narayanan
Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings.
INTERSPEECH
(2023)
Rajat Hebbar
,
Digbalay Bose
,
Shrikanth Narayanan
SEAR: Semantically-grounded Audio Representations.
ACM Multimedia
(2023)
Rimita Lahiri
,
Tiantian Feng
,
Rajat Hebbar
,
Catherine Lord
,
So Hyun Kim
,
Shrikanth Narayanan
Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism.
INTERSPEECH
(2023)
Digbalay Bose
,
Rajat Hebbar
,
Krishna Somandepalli
,
Shrikanth Narayanan
Contextually-Rich Human Affect Perception Using Multimodal Scene Information.
ICASSP
(2023)
Digbalay Bose
,
Rajat Hebbar
,
Krishna Somandepalli
,
Haoyang Zhang
,
Yin Cui
,
Kree Cole-McLaughlin
,
Huisheng Wang
,
Shrikanth Narayanan
MovieCLIP: Visual Scene Recognition in Movies.
CoRR
(2022)
Krishna Somandepalli
,
Rajat Hebbar
,
Shrikanth Narayanan
Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation.
IEEE Trans. Multim.
24 (2022)
Tiantian Feng
,
Rajat Hebbar
,
Nicholas Mehlman
,
Xuan Shi
,
Aditya Kommineni
,
Shrikanth Narayanan
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness.
CoRR
(2022)
Rajat Hebbar
,
Krishna Somandepalli
,
Raghuveer Peri
,
Ruchir Travadi
,
Tracy Tuplin
,
Fernando Rivera
,
Shrikanth Narayanan
A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings.
CBMI
(2021)
Rajat Hebbar
,
Pavlos Papadopoulos
,
Ramon Reyes
,
Alexander F. Danvers
,
Angelina J. Polsinelli
,
Suzanne A. Moseley
,
David A. Sbarra
,
Matthias R. Mehl
,
Shrikanth Narayanan
Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices.
EURASIP J. Audio Speech Music. Process.
2021 (1) (2021)
Tiantian Feng
,
Hanieh Hashemi
,
Rajat Hebbar
,
Murali Annavaram
,
Shrikanth S. Narayanan
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings.
CoRR
(2021)
Krishna Somandepalli
,
Rajat Hebbar
,
Shrikanth Narayanan
Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos.
CoRR
(2020)
Rajat Hebbar
,
Krishna Somandepalli
,
Shrikanth S. Narayanan
Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental Evaluation.
ICASSP
(2019)
Rajat Hebbar
,
Krishna Somandepalli
,
Shrikanth S. Narayanan
Improving Gender Identification in Movie Audio Using Cross-Domain Data.
INTERSPEECH
(2018)