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Aditya Nigam

Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images

Jun 22, 2020
Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar

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* Accepted in IEEE CMBS 2020

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PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network

Nov 11, 2019
Abhigyan Khaund, Daksh Thapar, Aditya Nigam

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* Accepted in NCVPRIPG 2019

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SP-NET: One Shot Fingerprint Singular-Point Detector

Aug 13, 2019
Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam

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* 10 pages, 6 figures

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Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

Mar 27, 2019
Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

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* Under Review at JASA. Primitive version of paper. We are still working on getting better performances out of the comparative methods

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PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features

Dec 15, 2018
Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Vivek Kanhangad

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* Accepted in 5th IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), 2019, Hyderabad, India

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