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Daksh Thapar

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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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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BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters

Oct 14, 2017
Tushar Gupta, Shreyas Malakarjun Patil, Mukkaram Tailor, Daksh Thapar, Aditya Nigam

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* Deep Learning in Irregular Domains - British Machine Vision Conference (DLID-BMVC)

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VGR-Net: A View Invariant Gait Recognition Network

Oct 13, 2017
Daksh Thapar, Divyansh Aggarwal, Punjal Agarwal, Aditya Nigam

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* Accepted in ISBA (IEEE International conference on Identity, Security and Behaviour Analysis)-2018

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UBSegNet: Unified Biometric Region of Interest Segmentation Network

Sep 26, 2017
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam

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* 4th Asian Conference on Pattern Recognition (ACPR 2017)

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