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Indian Masked Faces in the Wild Dataset


Jun 17, 2021
Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa


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Enhancing Fine-Grained Classification for Low Resolution Images


May 01, 2021
Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh


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Class Equilibrium using Coulomb's Law


Apr 25, 2021
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh

* Accepted at IJCNN 2021 

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Age Gap Reducer-GAN for Recognizing Age-Separated Faces


Nov 11, 2020
Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore


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Trustworthy AI


Nov 02, 2020
Richa Singh, Mayank Vatsa, Nalini Ratha

* ACM CODS-COMAD 2021 Tutorial 

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WaveTransform: Crafting Adversarial Examples via Input Decomposition


Oct 29, 2020
Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh

* ECCV Workshop Adversarial Robustness in the Real World 2020, 17 pages, 3 Tables, 6 Figures 

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Attack Agnostic Adversarial Defense via Visual Imperceptible Bound


Oct 25, 2020
Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa

* ICPR 2020, 8 pages, 5 figures, 7 tables 

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MixNet for Generalized Face Presentation Attack Detection


Oct 25, 2020
Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh

* ICPR 2020, 8 pages, 6 figures, 7 tables 

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Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings


Oct 25, 2020
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh

* ICPR 2020, 8 pages, 7 figures, 4 tables 

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Unravelling Small Sample Size Problems in the Deep Learning World


Aug 08, 2020
Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh

* 3 figures, 2 tables, accepted in BigMM 2020 

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Subclass Contrastive Loss for Injured Face Recognition


Aug 05, 2020
Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa

* Accepted in BTAS 2019 

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Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images


Aug 03, 2020
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal


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Generalized Zero-Shot Learning Via Over-Complete Distribution


Apr 01, 2020
Rohit Keshari, Richa Singh, Mayank Vatsa

* 9 pages, 5 figures, Accepted in CVPR 2020 

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On the Robustness of Face Recognition Algorithms Against Attacks and Bias


Feb 07, 2020
Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa

* Accepted in Senior Member Track, AAAI2020 

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Detecting Face2Face Facial Reenactment in Videos


Jan 21, 2020
Prabhat Kumar, Mayank Vatsa, Richa Singh

* 9 pages 

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AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework


Nov 26, 2019
Raunak Sinha, Anush Sankaran, Mayank Vatsa, Richa Singh

* NeurIPS 2019, MLSys: Workshop on Systems for ML 

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Dual Directed Capsule Network for Very Low Resolution Image Recognition


Aug 27, 2019
Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa

* Accepted in the International Conference on Computer Vision (ICCV) 2019 

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On Learning Density Aware Embeddings


Apr 08, 2019
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa

* Accepted in IEEE CVPR 2019 

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Deep Learning for Face Recognition: Pride or Prejudiced?


Apr 02, 2019
Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini Ratha


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On Detecting GANs and Retouching based Synthetic Alterations


Jan 26, 2019
Anubhav Jain, Richa Singh, Mayank Vatsa

* The 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018) 

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Guided Dropout


Dec 10, 2018
Rohit Keshari, Richa Singh, Mayank Vatsa

* Accepted in AAAI2019 

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Data Fine-tuning


Dec 10, 2018
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh

* Accepted in AAAI 2019 

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Recognizing Disguised Faces in the Wild


Nov 21, 2018
Maneet Singh, Richa Singh, Mayank Vatsa, Nalini Ratha, Rama Chellappa


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On Matching Faces with Alterations due to Plastic Surgery and Disguise


Nov 18, 2018
Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh

* The 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018) 

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Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition


Nov 02, 2018
Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh, Nalini Ratha


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Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!


Oct 15, 2018
Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore


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Anonymizing k-Facial Attributes via Adversarial Perturbations


Sep 28, 2018
Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta

* Published in IJCAI-2018 

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Learning A Shared Transform Model for Skull to Digital Face Image Matching


Aug 14, 2018
Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Afzel Noore

* Accepted in IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2018 

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Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos


May 30, 2018
Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore

* Accepted for publication in Transactions in Image Processing 

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Hierarchical Representation Learning for Kinship Verification


May 27, 2018
Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar

* IEEE Transactions on Image Processing ( Volume: 26, Issue: 1, Jan. 2017 ) 

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