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Anubhav Jain
I am a PhD Candidate in the Computer Science Dept at New York University, where I work on computer vision and machine learning. I am supervised by Dr. Nasir Memon and Dr. Julian Togelius.
I completed my undergrad from IIIT-D, where I wrote my undergraduate thesis with Dr. Mayank Vatsa and Dr. Richa Singh on Image Forensics.
Previously, I was research trainee at Idiap Research Institute in Switzerland, supervised by Dr. Sebastien Marcel. I worked on generalizability in deepfake detection during my time there. Prior to that, I was an Artifical Intelligence Engineer at Digital Product School by UnternehmerTUM in Munich, Germany, where I was supervised by Dr. Afsaneh Asaei. I have also worked briefly at Telstra and Pixxel (space tech start-up).
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Google Scholar /
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Linkedin
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Research
I'm interested in computer vision, machine learning, security & privacy, fairness, and biometrics.
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News
Nov 23: Paper accepted at WACV Workshops.
Sept 23: Presented paper at IJCB 2023 in Ljubljana, Slovenia.
June 23: Paper accepted at IJCB 2023
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Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
Anubhav Jain,
Nasir Memon ,
Julian Togelius
IEEE/IAPR IJCB, 2023
arXiv
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Codebase
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Fair GANs through model rebalancing using synthetic data
Anubhav Jain,
Nasir Memon ,
Julian Togelius
preprint, 2023
arXiv
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A DataLess FaceDwap Detection Approach Using Synthetic Images
Anubhav Jain,
Nasir Memon ,
Julian Togelius
IEEE/IAPR IJCB, 2022
Paper
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Codebase
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Dictionary Attacks on Speaker Verification
Mirko Marras ,
Pawel Korus,
Anubhav Jain,
Nasir Memon ,
Julian Togelius
IEEE TIFS, 2022
Paper
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Codebase
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Custom Attribution Loss for Improving Generalization and Interpretability of Deepfake Detection
Pavel Korshunov ,
Anubhav Jain,
Sebastien Marcel,
ICASSP, 2022
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Codebase
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Improving generalization of deepfake detection by training for attribution
Anubhav Jain,
Pavel Korshunov ,
Sebastien Marcel,
MMSP, 2021
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Codebase
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Voice analysis to differentiate the dopaminergic response in people with Parkinson's disease
Anubhav Jain, Kian Abedinpour, Ozgur Polat, Mine Melodi Çalışkan, Afsaneh Asaei, Franz MJ Pfister, Urban M Fietzek, Milos Cernak
Frontiers in Human Neuroscience, 2021
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Parameter Estimation and Imaging of SAR Ground Moving Target using AGFS
Peeyush Sahay, Anubhav Jain, P Radhakrishna, Vikram M Gadre
IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) , 2021
Paper
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Benchmark Dataset for Timetable optimization of Bus Routes in the City of New Delhi
Avdesh Kumar*, Saumya Balodi*, Anubhav Jain*, Pravesh Biyani
IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020
Paper
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Detecting GANs and retouching based digital alterations via DAD-HCNN
Anubhav Jain*, Puspita Majumdar*, Richa Singh, Mayank Vatsa
CVPR Workshops, 2020
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On detecting GANs and retouching based synthetic alterations
Anubhav Jain, Richa Singh, Mayank Vatsa
IEEE 9th international conference on biometrics theory, applications and systems (BTAS) , 2018
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