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2020 – today
- 2024
[c13]Tiantian Feng, Rajat Hebbar, Shrikanth Narayanan:
TRUST-SER: On The Trustworthiness Of Fine-Tuning Pre-Trained Speech Embeddings For Speech Emotion Recognition. ICASSP 2024: 11201-11205- [c12]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:
CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video. IJCAI 2024: 8674-8678 - [i11]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 Narayanan:
A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles. CoRR abs/2402.01703 (2024) - 2023
- [c11]Digbalay Bose
, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan:
Contextually-Rich Human Affect Perception Using Multimodal Scene Information. ICASSP 2023: 1-5 - [c10]Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan:
A Dataset for Audio-Visual Sound Event Detection in Movies. ICASSP 2023: 1-5 - [c9]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: 3557-3561 - [c8]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: 4633-4637 - [c7]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: 4035-4045 - [c6]Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan:
MM-AU: Towards Multimodal Understanding of Advertisement Videos. ACM Multimedia 2023: 86-95 - [c5]Rajat Hebbar, Digbalay Bose, Shrikanth Narayanan:
SEAR: Semantically-grounded Audio Representations. ACM Multimedia 2023: 2785-2794 - [c4]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: 2082-2091 - [i10]Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan:
A dataset for Audio-Visual Sound Event Detection in Movies. CoRR abs/2302.07315 (2023) - [i9]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan:
Contextually-rich human affect perception using multimodal scene information. CoRR abs/2303.06904 (2023) - [i8]Tiantian Feng, Rajat Hebbar, Shrikanth Narayanan:
TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition. CoRR abs/2305.11229 (2023) - [i7]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 abs/2305.14117 (2023) - [i6]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 abs/2306.09486 (2023) - [i5]Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan:
MM-AU: Towards Multimodal Understanding of Advertisement Videos. CoRR abs/2308.14052 (2023) - 2022
- [j2]Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan:
Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation. IEEE Trans. Multim. 24: 3355-3368 (2022) - [i4]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan:
MovieCLIP: Visual Scene Recognition in Movies. CoRR abs/2210.11065 (2022) - [i3]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 abs/2212.09006 (2022) - 2021
- [j1]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): 1-8 (2021) - [c3]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: 1-4 - [i2]Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan:
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR abs/2112.13416 (2021) - 2020
- [i1]Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan:
Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos. CoRR abs/2008.11289 (2020)
2010 – 2019
- 2019
- [c2]Rajat Hebbar, Krishna Somandepalli, Shrikanth S. Narayanan:
Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental Evaluation. ICASSP 2019: 4105-4109 - 2018
- [c1]Rajat Hebbar, Krishna Somandepalli, Shrikanth S. Narayanan:
Improving Gender Identification in Movie Audio Using Cross-Domain Data. INTERSPEECH 2018: 282-286
Coauthor Index
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