| 2026 | AAAI | ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs. | Bikash Dutta, Adit Jain, Rishabh Ranjan, Mayank Vatsa, Richa Singh |
| 2026 | AAAI | NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening. | Misaal Khan, Mayank Vatsa, Kuldeep Singh, Richa Singh |
| 2026 | AAAI | Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation. | Mayank Vatsa, Aparna Bharati, Richa Singh |
| 2026 | WACV | HumanBench: Two Heads, No Legs, But Mostly Human, the State of Generative Capabilities in T2I Models. | Anubhooti Jain, Mayank Vatsa, Richa Singh |
| 2026 | WACV | Balancing the Scales: Uncertainty-Aware Two-Stage RL for Multiview Child Malnutrition Screening. | Misaal Khan, Mayank Vatsa, Kuldeep Singh, Richa Singh |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models. | Kartik Thakral, Tamar Glaser, Tal Hassner, Mayank Vatsa, Richa Singh |
| 2025 | ICASSP | Can RAG-Driven Enhancements Amplify Audio LLMs for Low-Resource Languages? | Bikash Dutta, Rishabh Ranjan, Akshat Jain, Richa Singh, Mayank Vatsa |
| 2025 | ICCV | On Adversarial Robustness of Face Presentation Attack Detection Algorithms. | Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2025 | ICCV | TAIGen: Training-Free Adversarial Image Generation via Diffusion Models. | Susim Mukul Roy, Anubhooti Jain, Mayank Vatsa, Richa Singh |
| 2025 | ICCV | Genμ: The Generative Machine Unlearning Challenge. | Kartik Thakral, Shreyansh Pathak, Tamar Glaser, Tal Hassner, Diego Garcia-Olano, Iacopo Masi, Richa Singh, Mayank Vatsa |
| 2025 | ICLR | ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset. | Kartik Thakral, Rishabh Ranjan, Akanksha Singh, Akshat Jain, Mayank Vatsa, Richa Singh |
| 2025 | ICML | Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres. | Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral, Mayank Vatsa, Richa Singh |
| 2025 | IJCAI | SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis. | Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa |
| 2025 | IJCAI | Words Over Pixels? Rethinking Vision in Multimodal Large Language Models. | Anubhooti Jain, Mayank Vatsa, Richa Singh |
| 2025 | Interspeech | Can Quantized Audio Language Models Perform Zero-Shot Spoofing Detection? | Bikash Dutta, Rishabh Ranjan, Shyam Sathvik, Mayank Vatsa, Richa Singh |
| 2025 | Interspeech | LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security. | Nidheesh Gorthi, Kartik Thakral, Rishabh Ranjan, Richa Singh, Mayank Vatsa |
| 2025 | Interspeech | Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages. | Rishabh Ranjan, Ayinala Likhith, Mayank Vatsa, Richa Singh |
| 2025 | Interspeech | SynHate: Detecting Hate Speech in Synthetic Deepfake Audio. | Rishabh Ranjan, Kishan Pipariya, Mayank Vatsa, Richa Singh |
| 2025 | MICCAI | Non-invasive TB Detection Using Acoustic and Semantic Features from Cough Sounds. | Yasmeena Akhter, Rishabh Ranjan, Bikash Dutta, Mayank Vatsa, Richa Singh |
| 2025 | WACV | Learning the Power of "No": Foundation Models with Negations. | Jaisidh Singh, Ishaan Shrivastava, Mayank Vatsa, Richa Singh, Aparna Bharati |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Adventures of Trustworthy Vision-Language Models: A Survey. | Mayank Vatsa, Anubhooti Jain, Richa Singh |
| 2024 | CVPR | ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing. | Kartik Thakral, Shashikant Prasad, Stuti Aswani, Mayank Vatsa, Richa Singh |
| 2024 | ECCV | HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions. | Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa, Richa Singh |
| 2024 | ECCV | Navigating Text-to-Image Generative Bias Across Indic Languages. | Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner |
| 2024 | ICPR | Restoring Noisy Images Using Dual-Tail Encoder-Decoder Signal Separation Network. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2024 | ICPR | Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2024 | ICPR | PSIVUS: Atherosclerotic Plaque Segmentation in Intravascular Ultrasound Images via Active Learning. | Anuradha Mahato, Paromita Banerjee, Rutvik Narendrabhai Jethava, Bhanu Duggal, Angshuman Paul, Mayank Vatsa, Richa Singh |
| 2024 | ICPR | Enhancing Quantum Diffusion Models with Pairwise Bell State Entanglement. | Shivalee R. K. Shah, Mayank Vatsa |
| 2024 | MICCAI | DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children's Nutritional Status Assessment. | Misaal Khan, Richa Singh, Mayank Vatsa, Kuldeep Singh |
| 2024 | WACV | SynthProv: Interpretable Framework for Profiling Identity Leakage. | Jaisidh Singh, Harshil Bhatia, Mayank Vatsa, Richa Singh, Aparna Bharati |
| 2023 | AAAI | IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract). | Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa |
| 2023 | CVPR | Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. | Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa |
| 2023 | CVPR | DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. | Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh |
| 2023 | ICLR | Federated Learning for Local and Global Data Distribution. | Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa |
| 2023 | ICLR | Self-Supervised Continual Learning. | Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh |
| 2023 | IJCAI | On AI-Assisted Pneumoconiosis Detection from Chest X-rays. | Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury |
| 2023 | IJCAI | NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments. | Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. | Rishabh Ranjan, Mayank Vatsa, Richa Singh |
| 2023 | WACV | Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions? | Akshay Agarwal, Nalini K. Ratha, Afzel Noore, Richa Singh, Mayank Vatsa |
| 2022 | AAAI | Anatomizing Bias in Facial Analysis. | Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa |
| 2022 | CVPR | Exploring Robustness Connection between Artificial and Natural Adversarial Examples. | Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh |
| 2022 | CVPR | DeSI: Deepfake Source Identifier for Social Media. | Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh |
| 2022 | ECCV | Benchmarking Robustness Beyond l | Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh |
| 2022 | ICASSP | Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations. | Aditya Singh, Saheb Chhabra, Puspita Majumdar, Richa Singh, Mayank Vatsa |
| 2022 | ICPR | Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. | Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha |
| 2021 | AAAI | Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). | Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2021 | AAAI | NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). | Arushi Chauhan, Mayank Vatsa, Richa Singh |
| 2021 | AAAI | On Learning Deep Models with Imbalanced Data Distribution. | Puspita Majumdar, Richa Singh, Mayank Vatsa |
| 2021 | AAAI | Detection of Digital Manipulation in Facial Images (Student Abstract). | Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2021 | AAAI | Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). | Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh |
| 2021 | COMAD | Trustworthy AI. | Richa Singh, Mayank Vatsa, Nalini K. Ratha |
| 2021 | ICIP | Intelligent and Adaptive Mixup Technique for Adversarial Robustness. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2021 | ICIP | Indian Masked Faces in the Wild Dataset. | Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa |
| 2021 | IJCNN | Class Equilibrium using Coulomb's Law. | Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh |
| 2021 | IJCNN | Enhancing Fine-Grained Classification for Low Resolution Images. | Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh |
| 2021 | IJCNN | Understanding Neural Responses to Face Verification of Cross-Domain Representations. | Maneet Singh, Shruti Nagpal, Daksha Yadav, Naman Kohli, Prateekshit Pandey, Gokulraj Prabhakaran, Richa Singh, Mayank Vatsa, Afzel Noore, Julie Brefczynski-Lewis, Harsh Mahajan |
| 2020 | AAAI | On the Robustness of Face Recognition Algorithms Against Attacks and Bias. | Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa |
| 2020 | AAAI | NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. | Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty |
| 2020 | CVPR | The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. | Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2020 | CVPR | Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2020 | CVPR | DNDNet: Reconfiguring CNN for Adversarial Robustness. | Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2020 | CVPR | Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. | Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa |
| 2020 | CVPR | Generalized Zero-Shot Learning via Over-Complete Distribution. | Rohit Keshari, Richa Singh, Mayank Vatsa |
| 2020 | CVPR | On Privacy Preserving Anonymization of Finger-selfies. | Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh |
| 2020 | CVPR | Attribute Aware Filter-Drop for Bias-Invariant Classification. | Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa |
| 2020 | ECCV | WaveTransform: Crafting Adversarial Examples via Input Decomposition. | Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2020 | ECCV | Disguised Face Verification Using Inverse Disguise Quality. | Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh |
| 2020 | ECCV | FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks. | Raunak Sinha, Mayank Vatsa, Richa Singh |
| 2020 | ICPR | Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. | Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2020 | ICPR | Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. | Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2020 | ICPR | MixNet for Generalized Face Presentation Attack Detection. | Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2020 | ICPR | Age Gap Reducer-GAN for Recognizing Age-Separated Faces. | Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2020 | WACV | Detecting Face2Face Facial Reenactment in Videos. | Prabhat Kumar, Mayank Vatsa, Richa Singh |
| 2019 | AAAI | Data Fine-Tuning. | Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh |
| 2019 | AAAI | Guided Dropout. | Rohit Keshari, Richa Singh, Mayank Vatsa |
| 2019 | CVPR | On Learning Density Aware Embeddings. | Soumyadeep Ghosh, Richa Singh, Mayank Vatsa |
| 2019 | CVPR | DeepRing: Protecting Deep Neural Network With Blockchain. | Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2019 | CVPR | Bag-Of-Lies: A Multimodal Dataset for Deception Detection. | Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa |
| 2019 | CVPR | Evading Face Recognition via Partial Tampering of Faces. | Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2019 | CVPR | Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine. | Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2019 | CVPR | Detecting Textured Contact Lens in Uncontrolled Environment Using DensePAD. | Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2019 | ICCV | Dual Directed Capsule Network for Very Low Resolution Image Recognition. | Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2019 | ICIP | Triplet Transform Learning for Automated Primate Face Recognition. | Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2019 | ICIP | AUTO-G: Gesture Recognition in the Crowd for Autonomous Vehicl. | Pavani Tripathi, Rohit Keshari, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh |
| 2019 | IJCNN | Siamese Deep Dictionary Learning. | Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh |
| 2019 | WACV | Latent Fingerprint Enhancement Using Generative Adversarial Networks. | Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra |
| 2018 | AAAI | Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. | Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2018 | CVPR | Unconstrained Fingerphoto Database. | Shaan Chopra, Aakarsh Malhotra, Mayank Vatsa, Richa Singh |
| 2018 | CVPR | Learning Structure and Strength of CNN Filters for Small Sample Size Training. | Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2018 | CVPR | Disguised Faces in the Wild. | Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa |
| 2018 | CVPR | On Detecting Domestic Abuse via Faces. | Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa |
| 2018 | CVPR | Identity Aware Synthesis for Cross Resolution Face Recognition. | Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar |
| 2018 | CVPR | 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 |
| 2018 | CVPR | Unraveling Human Perception of Facial Aging Using Eye Gaze. | Daksha Yadav, Naman Kohli, Ekampreet Kalsi, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2018 | ECCV | Exploring Bias in Primate Face Detection and Recognition. | Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand |
| 2018 | ICPR | Scattering Transform for Matching Surgically Altered Face Images. | Ishita Gupta, Ikshu Bhalla, Richa Singh, Mayank Vatsa |
| 2018 | ICPR | SegDenseNet: Iris Segmentation for Pre-and-Post Cataract Surgery. | Aditya Lakra, Pavani Tripathi, Rohit Keshari, Mayank Vatsa, Richa Singh |
| 2018 | IJCAI | Anonymizing k Facial Attributes via Adversarial Perturbations. | Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta |
| 2018 | ICPR | Face Recognition for Newborns, Toddlers, and Pre-School Children: A Deep Learning Approach. | Sahar Siddiqui, Mayank Vatsa, Richa Singh |
| 2018 | WACV | Person Authentication Using Head Images. | Aakarsh Malhotra, Richa Singh, Mayank Vatsa, Vishal M. Patel |
| 2018 | WACV | Iris Presentation Attack via Textured Contact Lens in Unconstrained Environment. | Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2017 | CVPR | Face Presentation Attack with Latex Masks in Multispectral Videos. | Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore |
| 2017 | CVPR | Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition. | Tarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2017 | ICCV | Face Sketch Matching via Coupled Deep Transform Learning. | Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar |
| 2017 | IJCNN | Kernel group sparse representation based classifier for multimodal biometrics. | Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar |
| 2017 | IJCNN | Class representative autoencoder for low resolution multi-spectral gender classification. | Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2017 | IJCNN | Region-specific fMRI dictionary for decoding face verification in humans. | Daksha Yadav, Naman Kohli, Shruti Nagpal, Maneet Singh, Prateekshit Pandey, Mayank Vatsa, Richa Singh, Afzel Noore, Gokulraj Prabhakaran, Harsh Mahajan |
| 2017 | SP | Attack-Resistant aiCAPTCHA Using a Negative Selection Artificial Immune System. | Brian M. Powell, Ekampreet Kalsy, Gaurav Goswami, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2016 | ICIP | Face identification from low resolution near-infrared images. | Soumyadeep Ghosh, Rohit Keshari, Richa Singh, Mayank Vatsa |
| 2016 | ICIP | Mobile periocular matching with pre-post cataract surgery. | Rohit Keshari, Soumyadeep Ghosh, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2016 | ICIP | At-a-distance person recognition via combining ocular features. | Shalini Verma, Paritosh Mittal, Mayank Vatsa, Richa Singh |
| 2016 | ICIP | Low rank group sparse representation based classifier for pose variation. | Shivangi Yadav, Maneet Singh, Mayank Vatsa, Richa Singh, Angshul Majumdar |
| 2016 | ICPR | Fingerprint sensor classification via Mlange of handcrafted features. | Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2016 | ICPR | Improving classifier fusion via Pool Adjacent Violators normalization. | Gaurav Goswami, Nalini K. Ratha, Richa Singh, Mayank Vatsa |
| 2016 | ICPR | Face anti-spoofing with multifeature videolet aggregation. | Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2016 | WACV | Discriminative FaceTopics for face recognition via latent Dirichlet allocation. | Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa |
| 2016 | WACV | Effect of illicit drug abuse on face recognition. | Daksha Yadav, Naman Kohli, Prateekshit Pandey, Richa Singh, Mayank Vatsa, Afzel Noore |
| 2014 | ICIP | Leap signature recognition using HOOF and HOT features. | Ishan Nigam, Mayank Vatsa, Richa Singh |
| 2014 | ICIP | On cross spectral periocular recognition. | Anjali Sharma, Shalini Verma, Mayank Vatsa, Richa Singh |
| 2014 | ICPR | On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching. | Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa |
| 2014 | ICPR | On Iris Spoofing Using Print Attack. | Priyanshu Gupta, Shipra Behera, Mayank Vatsa, Richa Singh |
| 2013 | CVPR | Computationally Efficient Face Spoofing Detection with Motion Magnification. | Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh |
| 2013 | CVPR | Can Combining Demographics and Biometrics Improve De-duplication Performance? | Himanshu S. Bhatt, Richa Singh, Mayank Vatsa |
| 2013 | CVPR | Bacteria Foraging Fusion for Face Recognition across Age Progression. | Daksha Yadav, Mayank Vatsa, Richa Singh, Massimo Tistarelli |
| 2013 | ICIP | Can holistic representations be used for face biometric quality assessment? | Samarth Bharadwaj, Mayank Vatsa, Richa Singh |
| 2013 | ICIP | On rank aggregation for face recognition from videos. | Himanshu S. Bhatt, Richa Singh, Mayank Vatsa |
| 2013 | ICIP | Boosting local descriptors for matching composite and digital face images. | Paritosh Mittal, Aishwarya Jain, Richa Singh, Mayank Vatsa |
| 2013 | MICCAI | HEp-2 Cell Image Classification: A Comparative Analysis. | Praful Agrawal, Mayank Vatsa, Richa Singh |
| 2012 | CVPR | Biometric match score fusion using RVM: A case study in multi-unit iris recognition. | Hunny Mehrotra, Mayank Vatsa, Richa Singh, Banshidhar Majhi |
| 2012 | ICIP | Matching cross-resolution face images using co-transfer learning. | Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, Nalini K. Ratha |
| 2012 | ICIP | Incremental subclass discriminant analysis: A case study in face recognition. | Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh |
| 2011 | CVPR | Quality assessment based denoising to improve face recognition performance. | Samarth Bharadwaj, Himanshu S. Bhatt, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2010 | ICPR | Quality-Based Fusion for Multichannel Iris Recognition. | Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore |
| 2009 | CVPR | Effect of plastic surgery on face recognition: A preliminary study. | Richa Singh, Mayank Vatsa, Afzel Noore |
| 2008 | CVPR | Likelihood ratio in a SVM framework: Fusing linear and non-linear face classifiers. | Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore |
| 2008 | ICPR | Multiclass mv-granular soft support vector machine: A case study in dynamic classifier selection for multispectral face recognition. | Richa Singh, Mayank Vatsa, Afzel Noore |
| 2004 | ICONIP | Signature Verification Using Static and Dynamic Features. | Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore |
| 2004 | SMC | Face recognition using multiple recognizers. | Mayank Vatsa, Richa Singh, Phalguni Gupta |
| 2004 | SMC | Digital watermarking based secure multimodal biometric system. | Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore |
| 2002 | SMC | A comparison of face recognition algorithms neural network based & line based approaches. | Sanjay K. Singh, Mayank Vatsa, Richa Singh, D. S. Chauhan |