Mayank Vatsa

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 267

Top Venues

Publications

Mahapara Khurshid, Mayank Vatsa, Richa Singh
Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration. CoRR (2024)
Aakarsh Malhotra, Mayank Vatsa, Richa Singh, Keith B. Morris, Afzel Noore
Multi-Surface Multi-Technique (MUST) Latent Fingerprint Database. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh
Self-Supervised Continual Learning. Tiny Papers @ ICLR (2023)
Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury
On AI-Assisted Pneumoconiosis Detection from Chest X-rays. IJCAI (2023)
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
Feature-Guided Perturbation for Facial Attribute Classification. IEEE Trans. Artif. Intell. 4 (6) (2023)
Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh
NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments. IJCAI (2023)
Aakarsh Malhotra, Mayank Vatsa, Richa Singh
MMFV: A Multi-Movement Finger-Video Database for Contactless Fingerprint Recognition. IWBF (2023)
Aakarsh Malhotra, Mayank Vatsa, Richa Singh
Dropped Scheduled Task: Mitigating Negative Transfer in Multi-task Learning using Dynamic Task Dropping. Trans. Mach. Learn. Res. 2023 (2023)
Mayank Vatsa, Anubhooti Jain, Richa Singh
Adventures of Trustworthy Vision-Language Models: A Survey. CoRR (2023)
Mahapara Khurshid, Mayank Vatsa, Richa Singh
Multi-task Explainable Skin Lesion Classification. CoRR (2023)
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. CVPR (2023)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
IBAttack: Being Cautious About Data Labels. IEEE Trans. Artif. Intell. 4 (6) (2023)
Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract). AAAI (2023)
Muskan Dosi, Chiranjeev Chiranjeev, Shivang Agarwal, Jyoti Chaudhary, Sunny Manchanda, Kavita Balutia, Kaushik Bhagwatkar, Mayank Vatsa, Richa Singh
Seg-DGDNet: Segmentation Based Disguise Guided Dropout Network for Low Resolution Face Recognition. IEEE J. Sel. Top. Signal Process. 17 (6) (2023)
Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
Long-term Monitoring of Bird Flocks in the Wild. IJCAI (2023)
Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa, Rama Chellappa, Alex Pentland, Richa Singh
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. 5 (3) (2023)
Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa
Federated Learning for Local and Global Data Distribution. Tiny Papers @ ICLR (2023)
Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. FG (2023)
Rishabh Ranjan, Mayank Vatsa, Richa Singh
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. IJCAI (2023)
Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh
Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection. IEEE Trans. Biom. Behav. Identity Sci. 5 (1) (2023)
Puspita Majumdar, Mayank Vatsa, Richa Singh
Uniform misclassification loss for unbiased model prediction. Pattern Recognit. 144 (2023)
Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa
Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. CVPR Workshops (2023)
Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh
Are Face Detection Models Biased? FG (2023)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Parameter agnostic stacked wavelet transformer for detecting singularities. Inf. Fusion 95 (2023)
Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa
Detox Loss: Fairness Constraints for Learning With Imbalanced Data. IEEE Trans. Biom. Behav. Identity Sci. 5 (2) (2023)
Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton-Ferrer, Tal Hassner
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms. CoRR (2023)
Akshay Agarwal, Nalini K. Ratha, Afzel Noore, Richa Singh, Mayank Vatsa
Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions? WACV (2023)
Rishabh Ranjan, Mayank Vatsa, Richa Singh
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. CoRR (2023)
Akshay Agarwal, Gaurav Goswami, Mayank Vatsa, Richa Singh, Nalini K. Ratha
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Sasikanth Kotti, Mayank Vatsa, Richa Singh
On GANs perpetuating biases for face verification. CoRR (2022)
Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
DeriveNet for (Very) Low Resolution Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Aparna Bharati, Emma Connors, Mayank Vatsa, Richa Singh, Kevin W. Bowyer
In-group and Out-group Performance Bias in Facial Retouching Detection. IJCB (2022)
Soumyadeep Ghosh, Mayank Vatsa, Richa Singh
SUPREAR-NET: Supervised Resolution Enhancement and Recognition Network. IEEE Trans. Biom. Behav. Identity Sci. 4 (2) (2022)
Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid, Aditya Lakra, Rohit Keshari, Mayank Vatsa, Richa Singh
MTCD: Cataract detection via near infrared eye images. Comput. Vis. Image Underst. 214 (2022)
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
DeePhy: On Deepfake Phylogeny. IJCB (2022)
Aditya Singh, Saheb Chhabra, Puspita Majumdar, Richa Singh, Mayank Vatsa
Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations. ICASSP (2022)
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal
Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images. Pattern Recognit. 122 (2022)
Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. ICPR (2022)
Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh
Generalized Contact Lens Iris Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 4 (3) (2022)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. CVPR Workshops (2022)
Rishabh Ranjan, Mayank Vatsa, Richa Singh
STATNet: Spectral and Temporal features based Multi-Task Network for Audio Spoofing Detection. IJCB (2022)
Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh
Are Face Detection Models Biased? CoRR (2022)
Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh
DeSI: Deepfake Source Identifier for Social Media. CVPR Workshops (2022)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Crafting Adversarial Perturbations via Transformed Image Component Swapping. IEEE Trans. Image Process. 31 (2022)
Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
Disguise Resilient Face Verification. IEEE Trans. Circuits Syst. Video Technol. 32 (6) (2022)
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
DeePhy: On Deepfake Phylogeny. CoRR (2022)
Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa
Anatomizing Bias in Facial Analysis. AAAI (2022)
Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh
Enhanced iris presentation attack detection via contraction-expansion CNN. Pattern Recognit. Lett. 159 (2022)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore
Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images. Frontiers Big Data 5 (2022)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Norm Adversaries. ECCV Workshops (1) (2022)
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
Class Equilibrium using Coulomb's Law. CoRR (2021)
Nalini K. Ratha, Richa Singh, Vitomir Struc, Ioannis A. Kakadiaris, P. Jonathon Phillips, Mayank Vatsa
TBIOM Special Issue on "Best Reviewed Papers From IJCB 2020 - Editorial". IEEE Trans. Biom. Behav. Identity Sci. 3 (4) (2021)
Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa
Indian Masked Faces in the Wild Dataset. CoRR (2021)
Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh
Enhancing Fine-Grained Classification for Low Resolution Images. CoRR (2021)
Shiksha Mishra, Puspita Majumdar, Muskan Dosi, Mayank Vatsa, Richa Singh
Dual Sensor Indian Masked Face Dataset. FG (2021)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Impact of Super-Resolution and Human Identification in Drone Surveillance. WIFS (2021)
Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa
Recognizing Injured Faces via SCIFI Loss. IEEE Trans. Biom. Behav. Identity Sci. 3 (1) (2021)
Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa
Indian Masked Faces in the Wild Dataset. ICIP (2021)
Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa
Discriminative shared transform learning for sketch to image matching. Pattern Recognit. 114 (2021)
Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa
Anatomizing Bias in Facial Analysis. CoRR (2021)
Muskan Dosi, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
AECNet: Attentive EfficientNet For Crowd Counting. FG (2021)
Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). AAAI (2021)
Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh
Improving face recognition performance using TeCS2 dictionary. Pattern Recognit. Lett. 145 (2021)
Akshay Agarwal, Mayank Vatsa, Richa Singh
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). AAAI (2021)
Tejas I. Dhamecha, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh
Kernelized Heterogeneity-Aware Cross-View Face Recognition. Frontiers Artif. Intell. 4 (2021)
Arushi Chauhan, Mayank Vatsa, Richa Singh
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). AAAI (2021)
Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models. ICCVW (2021)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. ICIP (2021)
Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh, Keith B. Morris, Afzel Noore
Understanding ACE-V Latent Fingerprint Examination Process via Eye-Gaze Analysis. IEEE Trans. Biom. Behav. Identity Sci. 3 (1) (2021)
Richa Singh, Mayank Vatsa, Nalini K. Ratha
Trustworthy AI. COMAD/CODS (2021)
Puspita Majumdar, Richa Singh, Mayank Vatsa
On Learning Deep Models with Imbalanced Data Distribution. AAAI (2021)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore
MagNet: Detecting Digital Presentation Attacks on Face Recognition. Frontiers Artif. Intell. 4 (2021)
Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
Class Equilibrium using Coulomb's Law. IJCNN (2021)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. FG (2021)
Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh
Detection of Digital Manipulation in Facial Images (Student Abstract). AAAI (2021)
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. FG (2021)
Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid, Aditya Lakra, Rohit Keshari, Mayank Vatsa, Richa Singh
MTCD: Cataract Detection via Near Infrared Eye Images. CoRR (2021)
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. CoRR (2021)
Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh
Enhancing Fine-Grained Classification for Low Resolution Images. IJCNN (2021)
Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models. CoRR (2021)
Maneet Singh, Shruti Nagpal, Daksha Yadav, Naman Kohli, Prateekshit Pandey, Gokulraj Prabhakaran, Richa Singh, Mayank Vatsa, Afzel Noore, Julie Brefczynski-Lewis, Harsh Mahajan
Understanding Neural Responses to Face Verification of Cross-Domain Representations. IJCNN (2021)
Puspita Majumdar, Richa Singh, Mayank Vatsa
Attention Aware Debiasing for Unbiased Model Prediction. ICCVW (2021)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Cognitive data augmentation for adversarial defense via pixel masking. Pattern Recognit. Lett. 146 (2021)
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Afzel Noore
RGB-D Face Recognition using Reconstruction based Shared Representation. FG (2021)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
Image Transformation-Based Defense Against Adversarial Perturbation on Deep Learning Models. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh
On Privacy Preserving Anonymization of Finger-selfies. CVPR Workshops (2020)
Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty
NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. SafeAI@AAAI (2020)
Prabhat Kumar, Mayank Vatsa, Richa Singh
Detecting Face2Face Facial Reenactment in Videos. WACV (2020)
Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. ICPR (2020)
Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. CoRR (2020)
Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh
On Matching Finger-Selfies Using Deep Scattering Networks. IEEE Trans. Biom. Behav. Identity Sci. 2 (4) (2020)
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. CoRR (2020)
Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images. CoRR (2020)
Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. ICPR (2020)
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR (2020)
Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. Frontiers Big Data 3 (2020)
Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa
Attribute Aware Filter-Drop for Bias-Invariant Classification. CVPR Workshops (2020)
Rohit Keshari, Richa Singh, Mayank Vatsa
Generalized Zero-Shot Learning via Over-Complete Distribution. CVPR (2020)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. CVPR Workshops (2020)
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa
Subclass Heterogeneity Aware Loss for Cross-Spectral Cross-Resolution Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 2 (3) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mayank Vatsa