| 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 | CHI | Which is Warmer, the Cake or the Oven? Unlocking Thermal Conductivity for Virtual Reality Interaction. | Devbrat Anuragi, Ahmed Farooq, Richa Singh, Mina Honarmandmozafari, Patrick Coe, Marja Salmimaa, Roope Raisamo |
| 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 | CHI | Trust and Visual Focus in Automated Vehicles: A Comparative Study of Beginner and Experienced Drivers. | Richa Singh, Mounia Ziat, Oleg Spakov, John Mkel, Veikko Surakka, Roope Raisamo |
| 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 | 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 | ACL | MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages. | Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gkhan Tr, Prem Natarajan |
| 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 | FIE | Work in progress: On entrance test criteria for CS and IT UG programs. | Richa Singh, Mayank Pundir |
| 2012 | FIE | Work in progress: A quantitative study of effectiveness in group learning. | Saket Srivastava, Richa Singh |
| 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 |