Stebėti
Harsh Agarwal
Harsh Agarwal
Applied Scientist at Amazon
Patvirtintas el. paštas amazon.com
Pavadinimas
Cituota
Cituota
Metai
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
K Narayan, H Agarwal, K Thakral, S Mittal, M Vatsa, R Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
522023
DeePhy: On Deepfake Phylogeny
K Narayan, H Agarwal, K Thakral, S Mittal, M Vatsa, R Singh
2022 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2022
232022
DeSI: Deepfake Source Identifier for Social Media
K Narayan, H Agarwal, S Mittal, K Thakral, S Kundu, M Vatsa, R Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
222022
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators
H Agarwal, H Rathore
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 1-5, 2023
22023
DeePhyNet: Towards Detecting Phylogeny in Deepfakes
K Thakral, H Agarwal, K Naraya, S Mittal, M Vatsa, R Singh
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024
12024
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators
H Agarwal, H Rathore
Artificial Intelligence in Medicine 147, 102736, 2024
12024
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Straipsniai 1–6