Vatsa, Mayank

78 publications

AAAI 2025 AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim, Mayank Vatsa, Richa Singh, Shyam Prasad Adhikari, Sangeeth Reddy Battu
TMLR 2025 DIVINE: Diverse-Inconspicuous Feature Learning to Mitigate Abridge Learning Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
CVPR 2025 Fine-Grained Erasure in Text-to-Image Diffusion-Based Foundation Models Kartik Thakral, Tamar Glaser, Tal Hassner, Mayank Vatsa, Richa Singh
ICML 2025 Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral, Mayank Vatsa, Richa Singh
ICLR 2025 ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset Kartik Thakral, Rishabh Ranjan, Akanksha Singh, Akshat Jain, Mayank Vatsa, Richa Singh
TMLR 2025 IndicFake Meets SAFARI-LLM: Unifying Semantic and Acoustic Intelligence for Multilingual Deepfake Detection Rishabh Ranjan, Mayank Vatsa, Richa Singh
WACV 2025 Learning the Power of "No": Foundation Models with Negations Jaisidh Singh, Ishaan Shrivastava, Mayank Vatsa, Richa Singh, Aparna Bharati
IJCAI 2025 SHIELD: A Self-Supervised, Silicosis-Focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa
IJCAI 2025 Words over Pixels? Rethinking Vision in Multimodal Large Language Models Anubhooti Jain, Mayank Vatsa, Richa Singh
AAAI 2024 Adventures of Trustworthy Vision-Language Models: A Survey Mayank Vatsa, Anubhooti Jain, Richa Singh
AAAI 2024 BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
ECCV 2024 HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa, Richa Singh
ECCV 2024 Navigating Text-to-Image Generative Bias Across Indic Languages Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner
WACV 2024 SynthProv: Interpretable Framework for Profiling Identity Leakage Jaisidh Singh, Harshil Bhatia, Mayank Vatsa, Richa Singh, Aparna Bharati
CVPR 2024 ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing Kartik Thakral, Shashikant Prasad, Stuti Aswani, Mayank Vatsa, Richa Singh
CVPR 2023 DF-Platter: Multi-Face Heterogeneous Deepfake Dataset Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
TMLR 2023 Dropped Scheduled Task: Mitigating Negative Transfer in Multi-Task Learning Using Dynamic Task Dropping Aakarsh Malhotra, Mayank Vatsa, Richa Singh
AAAI 2023 IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract) Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa
IJCAI 2023 Long-Term Monitoring of Bird Flocks in the Wild Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
WACV 2023 Misclassifications of Contact Lens Iris PAD Algorithms: Is It Gender Bias or Environmental Conditions? Akshay Agarwal, Nalini Ratha, Afzel Noore, Richa Singh, Mayank Vatsa
IJCAI 2023 NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh
IJCAI 2023 On AI-Assisted Pneumoconiosis Detection from Chest X-Rays Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury
CVPRW 2023 Robustness Against Gradient Based Attacks Through Cost Effective Network Fine-Tuning Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa
IJCAI 2023 Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects Rishabh Ranjan, Mayank Vatsa, Richa Singh
AAAI 2022 Anatomizing Bias in Facial Analysis Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa
ECCVW 2022 Benchmarking Robustness Beyond Lp Norm Adversaries Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
CVPRW 2022 DeSI: Deepfake Source Identifier for Social Media Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh
CVPRW 2022 Exploring Robustness Connection Between Artificial and Natural Adversarial Examples Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
ICCVW 2021 Attention Aware Debiasing for Unbiased Model Prediction Puspita Majumdar, Richa Singh, Mayank Vatsa
AAAI 2021 Detection of Digital Manipulation in Facial Images (Student Abstract) Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh
AAAI 2021 NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract) Arushi Chauhan, Mayank Vatsa, Richa Singh
AAAI 2021 On Learning Deep Models with Imbalanced Data Distribution Puspita Majumdar, Richa Singh, Mayank Vatsa
AAAI 2021 Role of Optimizer on Network Fine-Tuning for Adversarial Robustness (Student Abstract) Akshay Agarwal, Mayank Vatsa, Richa Singh
AAAI 2021 Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract) Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh
ICCVW 2021 Unravelling the Effect of Image Distortions for Biased Prediction of Pre-Trained Face Recognition Models Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa
CVPRW 2020 Attribute Aware Filter-Drop for Bias-Invariant Classification Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa
CVPRW 2020 DNDNet: Reconfiguring CNN for Adversarial Robustness Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
WACV 2020 Detecting Face2Face Facial Reenactment in Videos Prabhat Kumar, Mayank Vatsa, Richa Singh
CVPRW 2020 Detecting GANs and Retouching Based Digital Alterations via DAD-HCNN Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa
ECCVW 2020 Disguised Face Verification Using Inverse Disguise Quality Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh
ECCVW 2020 FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks Raunak Sinha, Mayank Vatsa, Richa Singh
CVPRW 2020 Noise Is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
CVPRW 2020 On Privacy Preserving Anonymization of Finger-Selfies Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh
AAAI 2020 On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa
CVPRW 2020 The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN Akshay Agarwal, Richa Singh, Mayank Vatsa
ECCVW 2020 WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh
CVPRW 2019 Bag-of-Lies: A Multimodal Dataset for Deception Detection Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa
AAAI 2019 Data Fine-Tuning Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh
CVPRW 2019 DeepRing: Protecting Deep Neural Network with Blockchain Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
CVPRW 2019 Detecting Textured Contact Lens in Uncontrolled Environment Using DensePAD Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore
ICCVW 2019 Disguised Faces in the Wild 2019 Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa
CVPRW 2019 Evading Face Recognition via Partial Tampering of Faces Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa
CVPRW 2019 Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh, Afzel Noore
AAAI 2019 Guided Dropout Rohit Keshari, Richa Singh, Mayank Vatsa
WACV 2019 Latent Fingerprint Enhancement Using Generative Adversarial Networks Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra
IJCAI 2018 Anonymizing K Facial Attributes via Adversarial Perturbations Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta
CVPRW 2018 Disguised Faces in the Wild Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa
ECCVW 2018 Exploring Bias in Primate Face Detection and Recognition Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand
CVPRW 2018 Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection Daksha Yadav, Naman Kohli, Akshay Agarwal, Mayank Vatsa, Richa Singh, Afzel Noore
CVPRW 2018 Identity Aware Synthesis for Cross Resolution Face Recognition Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar
WACV 2018 Iris Presentation Attack via Textured Contact Lens in Unconstrained Environment Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore
CVPRW 2018 On Detecting Domestic Abuse via Faces Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa
WACV 2018 Person Authentication Using Head Images Aakarsh Malhotra, Richa Singh, Mayank Vatsa, Vishal M. Patel
CVPRW 2018 Unconstrained Fingerphoto Database Shaan Chopra, Aakarsh Malhotra, Mayank Vatsa, Richa Singh
CVPRW 2018 Unraveling Human Perception of Facial Aging Using Eye Gaze Daksha Yadav, Naman Kohli, Ekampreet Kalsi, Mayank Vatsa, Richa Singh, Afzel Noore
AAAI 2018 Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa
CVPRW 2017 Face Presentation Attack with LaTeX Masks in Multispectral Videos Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore
ICCV 2017 Face Sketch Matching via Coupled Deep Transform Learning Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar
CVPRW 2017 Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition Tarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
WACV 2016 Discriminative FaceTopics for Face Recognition via Latent Dirichlet Allocation Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa
WACV 2016 Effect of Illicit Drug Abuse on Face Recognition Daksha Yadav, Naman Kohli, Prateekshit Pandey, Richa Singh, Mayank Vatsa, Afzel Noore
CVPRW 2013 Bacteria Foraging Fusion for Face Recognition Across Age Progression Daksha Yadav, Mayank Vatsa, Richa Singh, Massimo Tistarelli
CVPRW 2013 Can Combining Demographics and Biometrics Improve De-Duplication Performance? Himanshu S. Bhatt, Richa Singh, Mayank Vatsa
CVPRW 2013 Computationally Efficient Face Spoofing Detection with Motion Magnification Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh
CVPRW 2012 Biometric Match Score Fusion Using RVM: A Case Study in Multi-Unit Iris Recognition Hunny Mehrotra, Mayank Vatsa, Richa Singh, Banshidhar Majhi
CVPRW 2011 Quality Assessment Based Denoising to Improve Face Recognition Performance Samarth Bharadwaj, Himanshu S. Bhatt, Mayank Vatsa, Richa Singh, Afzel Noore
CVPRW 2009 Effect of Plastic Surgery on Face Recognition: A Preliminary Study Richa Singh, Mayank Vatsa, Afzel Noore
CVPRW 2008 Likelihood Ratio in a SVM Framework: Fusing Linear and Non-Linear Face Classifiers Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore