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Mayank Vatsa

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affiliation: IIT Jodhpur, India
affiliation (former): IIIT Delhi

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2020 – today

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2024
[j103]
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Mahapara Khurshid, Yasmeena Akhter, Mayank Vatsa, Richa Singh:
AssistDistil for Medical Image Segmentation. Biomed. Signal Process. Control. 97: 106568 (2024)
[j102]
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Yasmeena Akhter, Richa Singh, Mayank Vatsa:
AI-based radiodiagnosis using chest X-rays: A review. Frontiers Big Data 6 (2024)
[j101]
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Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Corruption depth: Analysis of DNN depth for misclassification. Neural Networks 172: 106013 (2024)
[j100]
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Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
Low-Quality Deepfake Detection via Unseen Artifacts. IEEE Trans. Artif. Intell. 5(4): 1573-1585 (2024)
[j99]
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Sunny Manchanda, Kaushik Bhagwatkar, Kavita Balutia, Shivang Agarwal, Jyoti Chaudhary, Muskan Dosi, Chiranjeev Chiranjeev, Mayank Vatsa, Richa Singh:
D-LORD: DYSL-AI Database for Low-Resolution Disguised Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 6(2): 147-157 (2024)
[j98]
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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: 1041-1055 (2024)
[c218]
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  - conf/aaai/KshitizSDDV0ASP24
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Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar:
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. AAAI 2024: 21879-21887
[c217]
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  - conf/aaai/VatsaJ024
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Mayank Vatsa, Anubhooti Jain, Richa Singh:
Adventures of Trustworthy Vision-Language Models: A Survey. AAAI 2024: 22658-22659
[c216]
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  - conf/cvpr/ThakralPAV024
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Kartik Thakral, Shashikant Prasad, Stuti Aswani, Mayank Vatsa, Richa Singh:
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing. CVPR 2024: 10875-10884
[c215]
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  - conf/isbi/AkhterRSV24
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Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa:
Low-Resolution Chest X-Ray Classification Via Knowledge Distillation and Multi-Task Learning. ISBI 2024: 1-5
[c214]
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  - conf/isbi/KhurshidVS24
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Mahapara Khurshid, Mayank Vatsa, Richa Singh:
Optimizing Skin Lesion Classification Via Multimodal Data and Auxiliary Task Integration. ISBI 2024: 1-5
[c213]
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  - conf/miccai/KhanSVS24
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Misaal Khan, Richa Singh, Mayank Vatsa, Kuldeep Singh:
DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children's Nutritional Status Assessment. MICCAI (3) 2024: 606-616
[c212]
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  - conf/wacv/SinghBV0B24
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Jaisidh Singh, Harshil Bhatia, Mayank Vatsa, Richa Singh, Aparna Bharati:
SynthProv: Interpretable Framework for Profiling Identity Leakage. WACV 2024: 4734-4744
[i61]
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  - journals/corr/abs-2402-10454
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Mahapara Khurshid, Mayank Vatsa, Richa Singh:
Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration. CoRR abs/2402.10454 (2024)
[i60]
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  - journals/corr/abs-2403-20312
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Jaisidh Singh, Ishaan Shrivastava, Mayank Vatsa, Richa Singh, Aparna Bharati:
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations. CoRR abs/2403.20312 (2024)
[i59]
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  - journals/corr/abs-2405-13370
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Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa:
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning. CoRR abs/2405.13370 (2024)
[i58]
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  - journals/corr/abs-2408-00283
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Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias across Indic Languages. CoRR abs/2408.00283 (2024)
[i57]
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  - journals/corr/abs-2408-02494
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Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa, Richa Singh:
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions. CoRR abs/2408.02494 (2024)
[i56]
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  - journals/corr/abs-2409-19619
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Anubhooti Jain, Susim Roy, Kwanit Gupta, Mayank Vatsa, Richa Singh:
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises. CoRR abs/2409.19619 (2024)
2023
[j97]
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  - journals/inffus/AgarwalVSR23
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Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Parameter agnostic stacked wavelet transformer for detecting singularities. Inf. Fusion 95: 415-425 (2023)
[j96]
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  - journals/jstsp/DosiCACMBBVS23
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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): 1264-1276 (2023)
[j95]
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  - journals/pr/MajumdarVS23
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Puspita Majumdar, Mayank Vatsa, Richa Singh:
Uniform misclassification loss for unbiased model prediction. Pattern Recognit. 144: 109689 (2023)
[j94]
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  - journals/tai/AgarwalSVR23
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Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
IBAttack: Being Cautious About Data Labels. IEEE Trans. Artif. Intell. 4(6): 1484-1493 (2023)
[j93]
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  - journals/tai/ChhabraMVS23
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Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Feature-Guided Perturbation for Facial Attribute Classification. IEEE Trans. Artif. Intell. 4(6): 1739-1751 (2023)
[j92]
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  - journals/tbbis/MehraAVS23
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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): 39-52 (2023)
[j91]
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  - journals/tbbis/NagpalS0V23
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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): 244-254 (2023)
[j90]
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  - journals/tbbis/JackPTVCPS23
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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): 305-307 (2023)
[j89]
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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)
[c211]
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  - conf/aaai/BhatiaSSB0V23
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Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh, Mayank Vatsa:
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract). AAAI 2023: 16164-16165
[c210]
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  - conf/cvpr/AgarwalRSV23
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Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. CVPR Workshops 2023: 28-37
[c209]
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  - conf/cvpr/NarayanATMV023
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Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. CVPR 2023: 9739-9748
[c208]
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  - conf/fgr/MittalTMVS23
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Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? FG 2023: 1-7
[c207]
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  - conf/fgr/ThakralMVS23
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Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. FG 2023: 1-6
[c206]
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  - conf/icb/AgarwalCSSVSARAM23
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Shivang Agarwal, Jyoti Chaudhary, Hard Savani, Shivam Sharma, Mayank Vatsa, Richa Singh, Shyam Prasad Adhikari, Sangeeth Reddy, Kshitij Agrawal, Hemant Misra:
Leveraging Synthetic Data and Hard Pair Mining for Selfie vs ID Face Verification. IJCB 2023: 1-9
[c205]
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  - conf/icb/DosiCSV23
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Muskan Dosi, Chiranjeev Chiranjeev, Richa Singh, Mayank Vatsa:
UG-LDFace: Unified and Generalized Framework for Long-Range Disguised Face Recognition. IJCB 2023: 1-9
[c204]
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  - conf/icb/RanjanVS23
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Rishabh Ranjan, Mayank Vatsa, Richa Singh:
SV-DeiT: Speaker Verification with DeiTCap Spoofing Detection. IJCB 2023: 1-10
[c203]
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  - conf/iclr/GoswamiARSV23
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Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Federated Learning for Local and Global Data Distribution. Tiny Papers @ ICLR 2023
[c202]
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Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh:
Self-Supervised Continual Learning. Tiny Papers @ ICLR 2023
[c201]
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  - conf/ijcai/KshitizSMV0ASP23
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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: 6344-6352
[c200]
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Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury:
On AI-Assisted Pneumoconiosis Detection from Chest X-rays. IJCAI 2023: 6353-6361
[c199]
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Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh:
NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments. IJCAI 2023: 6378-6385
[c198]
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  - conf/ijcai/RanjanV023
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Rishabh Ranjan, Mayank Vatsa, Richa Singh:
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. IJCAI 2023: 6750-6758
[c197]
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Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
MMFV: A Multi-Movement Finger-Video Database for Contactless Fingerprint Recognition. IWBF 2023: 1-6
[c196]
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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: 961-970
[i55]
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  - journals/corr/abs-2307-06669
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Rishabh Ranjan, Mayank Vatsa, Richa Singh:
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. CoRR abs/2307.06669 (2023)
[i54]
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  - journals/corr/abs-2310-07209
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Mahapara Khurshid, Mayank Vatsa, Richa Singh:
Multi-task Explainable Skin Lesion Classification. CoRR abs/2310.07209 (2023)
[i53]
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  - journals/corr/abs-2310-15848
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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 abs/2310.15848 (2023)
[i52]
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Mayank Vatsa, Anubhooti Jain, Richa Singh:
Adventures of Trustworthy Vision-Language Models: A Survey. CoRR abs/2312.04231 (2023)
2022
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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: 103303 (2022)
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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)
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
DeriveNet for (Very) Low Resolution Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6569-6577 (2022)
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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: 108243 (2022)
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Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh:
Enhanced iris presentation attack detection via contraction-expansion CNN. Pattern Recognit. Lett. 159: 61-69 (2022)
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Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
SUPREAR-NET: Supervised Resolution Enhancement and Recognition Network. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 185-196 (2022)
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Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh:
Generalized Contact Lens Iris Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 373-385 (2022)
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Disguise Resilient Face Verification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3895-3905 (2022)
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Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Crafting Adversarial Perturbations via Transformed Image Component Swapping. IEEE Trans. Image Process. 31: 7338-7349 (2022)
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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): 3277-3289 (2022)
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Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. AAAI 2022: 12351-12358
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Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. CVPR Workshops 2022: 178-185
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Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh:
DeSI: Deepfake Source Identifier for Social Media. CVPR Workshops 2022: 2857-2866
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Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Benchmarking Robustness Beyond l_p Norm Adversaries. ECCV Workshops (1) 2022: 342-359
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Aditya Singh, Saheb Chhabra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations. ICASSP 2022: 1780-1784
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Aparna Bharati, Emma Connors, Mayank Vatsa, Richa Singh, Kevin W. Bowyer:
In-group and Out-group Performance Bias in Facial Retouching Detection. IJCB 2022: 1-10
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Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. IJCB 2022: 1-10
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Rishabh Ranjan, Mayank Vatsa, Richa Singh:
STATNet: Spectral and Temporal features based Multi-Task Network for Audio Spoofing Detection. IJCB 2022: 1-9
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Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. ICPR 2022: 1134-1140
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Puspita Majumdar, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Facial Retouching and Alteration Detection. Handbook of Digital Face Manipulation and Detection 2022: 367-387
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Sasikanth Kotti, Mayank Vatsa, Richa Singh:
On GANs perpetuating biases for face verification. CoRR abs/2208.13061 (2022)
[i50]
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Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. CoRR abs/2209.09111 (2022)
[i49]
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  - journals/corr/abs-2211-03588
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Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? CoRR abs/2211.03588 (2022)
2021
[j78]
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Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore:
MagNet: Detecting Digital Presentation Attacks on Face Recognition. Frontiers Artif. Intell. 4 (2021)
[j77]
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Tejas I. Dhamecha, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Kernelized Heterogeneity-Aware Cross-View Face Recognition. Frontiers Artif. Intell. 4: 670538 (2021)
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Discriminative shared transform learning for sketch to image matching. Pattern Recognit. 114: 107815 (2021)
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Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
Improving face recognition performance using TeCS2 dictionary. Pattern Recognit. Lett. 145: 88-95 (2021)
[j74]
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Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Cognitive data augmentation for adversarial defense via pixel masking. Pattern Recognit. Lett. 146: 244-251 (2021)
[j73]
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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): 44-58 (2021)
[j72]
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Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Recognizing Injured Faces via SCIFI Loss. IEEE Trans. Biom. Behav. Identity Sci. 3(1): 112-123 (2021)
[j71]
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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): 441-442 (2021)
[j70]
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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): 2106-2121 (2021)
[c186]
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Puspita Majumdar, Richa Singh, Mayank Vatsa:
On Learning Deep Models with Imbalanced Data Distribution. AAAI 2021: 15720-15721
[c185]
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Akshay Agarwal, Mayank Vatsa, Richa Singh:
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). AAAI 2021: 15745-15746
[c184]
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Arushi Chauhan, Mayank Vatsa, Richa Singh:
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). AAAI 2021: 15767-15768
[c183]
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Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Detection of Digital Manipulation in Facial Images (Student Abstract). AAAI 2021: 15845-15846
[c182]
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Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). AAAI 2021: 15903-15904
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Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. COMAD/CODS 2021: 449-453
[c180]
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Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. FG 2021: 1-8
[c179]
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Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. FG 2021: 1-5
[c178]
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Muskan Dosi, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
AECNet: Attentive EfficientNet For Crowd Counting. FG 2021: 1-8
[c177]
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Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Afzel Noore:
RGB-D Face Recognition using Reconstruction based Shared Representation. FG 2021: 1-8
[c176]
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Shiksha Mishra, Puspita Majumdar, Muskan Dosi, Mayank Vatsa, Richa Singh:
Dual Sensor Indian Masked Face Dataset. FG 2021: 1-8
[c175]
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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: 3779-3788
[c174]
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Puspita Majumdar, Richa Singh, Mayank Vatsa:
Attention Aware Debiasing for Unbiased Model Prediction. ICCVW 2021: 4116-4124
[c173]
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Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. ICIP 2021: 824-828
[c172]
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Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. ICIP 2021: 884-888
[c171]
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Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. IJCNN 2021: 1-8
[c170]
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. IJCNN 2021: 1-8
[c169]
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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: 1-8
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Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Impact of Super-Resolution and Human Identification in Drone Surveillance. WIFS 2021: 1-6
[i48]
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Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. CoRR abs/2104.12287 (2021)
[i47]
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. CoRR abs/2105.00241 (2021)
[i46]
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Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. CoRR abs/2106.09670 (2021)
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Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa:
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models. CoRR abs/2108.06581 (2021)
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Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. CoRR abs/2109.07311 (2021)
[i43]
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Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid, Aditya Lakra, Rohit Keshari, Mayank Vatsa, Richa Singh:
MTCD: Cataract Detection via Near Infrared Eye Images. CoRR abs/2110.02564 (2021)
[i42]
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Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. CoRR abs/2112.06522 (2021)
2020
[j69]
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Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. Frontiers Big Data 3: 590296 (2020)
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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): 245-256 (2020)
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Anshuman Suri, Mayank Vatsa, Richa Singh:
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise Based Inter-Domain Knowledge. IEEE Trans. Biom. Behav. Identity Sci. 2(4): 326-336 (2020)
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Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Finger-Selfies Using Deep Scattering Networks. IEEE Trans. Biom. Behav. Identity Sci. 2(4): 350-362 (2020)
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Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty:
NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. SafeAI@AAAI 2020: 138-145
[c166]
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Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. AAAI 2020: 13583-13589
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Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. BigMM 2020: 134-143
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Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DNDNet: Reconfiguring CNN for Adversarial Robustness. CVPR Workshops 2020: 103-110
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Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh:
On Privacy Preserving Anonymization of Finger-selfies. CVPR Workshops 2020: 120-128
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Attribute Aware Filter-Drop for Bias-Invariant Classification. CVPR Workshops 2020: 147-153
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Akshay Agarwal, Richa Singh, Mayank Vatsa:
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. CVPR Workshops 2020: 2748-2756
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Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. CVPR Workshops 2020: 2870-2879
[c159]
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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: 3354-3363
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Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning via Over-Complete Distribution. CVPR 2020: 13297-13305
[c157]
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  - conf/eccv/AnshumaanAVS20
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Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. ECCV Workshops (1) 2020: 152-168
[c156]
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Raunak Sinha, Mayank Vatsa, Richa Singh:
FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks. ECCV Workshops (3) 2020: 297-311
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  - conf/eccv/KarSVS20
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Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh:
Disguised Face Verification Using Inverse Disguise Quality. ECCV Workshops (6) 2020: 524-540
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Diversity Blocks for De-biasing Classification Models. IJCB 2020: 1-9
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Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. ICPR 2020: 5302-5309
[c152]
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Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR 2020: 5318-5325
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Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. ICPR 2020: 5511-5518
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Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. ICPR 2020: 10090-10097
[c149]
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Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. WACV 2020: 2578-2586
[p7]
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Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Vishal M. Patel:
Domain Adaptation for Visual Understanding. Domain Adaptation for Visual Understanding 2020: 1-15
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Anush Sankaran, Mayank Vatsa, Richa Singh:
Intuition Learning. Domain Adaptation for Visual Understanding 2020: 111-127
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Richa Singh, Mayank Vatsa, Vishal M. Patel, Nalini K. Ratha:
Domain Adaptation for Visual Understanding. Springer 2020, ISBN 978-3-030-30670-0 [contents]
[i41]
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Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. CoRR abs/2001.07444 (2020)
[i40]
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Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. CoRR abs/2002.02942 (2020)
[i39]
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Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning Via Over-Complete Distribution. CoRR abs/2004.00666 (2020)
[i38]
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Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. CoRR abs/2008.00054 (2020)
[i37]
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Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. CoRR abs/2008.01993 (2020)
[i36]
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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 abs/2008.03205 (2020)
[i35]
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Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. CoRR abs/2008.03522 (2020)
[i34]
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Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. CoRR abs/2010.13244 (2020)
[i33]
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Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. CoRR abs/2010.13246 (2020)
[i32]
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Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. CoRR abs/2010.13247 (2020)
[i31]
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Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. CoRR abs/2010.15773 (2020)
[i30]
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Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. CoRR abs/2011.02272 (2020)
[i29]
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Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. CoRR abs/2011.05897 (2020)

2010 – 2019

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2019
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Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition. Int. J. Comput. Vis. 127(6-7): 719-742 (2019)
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Akshay Agarwal, Rohit Keshari, Manya Wadhwa, Mansi Vijh, Chandani Parmar, Richa Singh, Mayank Vatsa:
Iris sensor identification in multi-camera environment. Inf. Fusion 45: 333-345 (2019)
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Tejas Indulal Dhamecha, Afzel Noore, Richa Singh, Mayank Vatsa:
Between-subclass piece-wise linear solutions in large scale kernel SVM learning. Pattern Recognit. 95: 173-190 (2019)
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Are you eligible? Predicting adulthood from face images via Class Specific Mean Autoencoder. Pattern Recognit. Lett. 119: 121-130 (2019)
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Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. Pattern Recognit. Lett. 119: 157-165 (2019)
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Mayank Vatsa, Mark S. Nixon:
Editorial Introducing the IEEE Transactions on Biometrics, Behavior, and Identity Science. IEEE Trans. Biom. Behav. Identity Sci. 1(1): 1-2 (2019)
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Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 97-108 (2019)
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Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos. IEEE Trans. Image Process. 28(3): 1329-1341 (2019)
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Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. AAAI 2019: 4065-4072
[c147]
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Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-Tuning. AAAI 2019: 8223-8230
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Akshay Agarwal, Akarsha Sehwag, Richa Singh, Mayank Vatsa:
Deceiving Face Presentation Attack Detection via Image Transforms. BigMM 2019: 373-382
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Akshay Agarwal, Mayank Vatsa, Richa Singh:
CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack. BTAS 2019: 1-5
[c144]
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Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. BTAS 2019: 1-7
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Lamha Goel, Mayank Vatsa, Richa Singh:
LC-DECAL: Label Consistent Deep Collaborative Learning for Face Recognition. BTAS 2019: 1-8
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Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. BTAS 2019: 1-7
[c141]
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Anshuman Suri, Mayank Vatsa, Richa Singh:
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge. BTAS 2019: 1-8
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Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Evading Face Recognition via Partial Tampering of Faces. CVPR Workshops 2019: 11-20
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Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa:
Bag-Of-Lies: A Multimodal Dataset for Deception Detection. CVPR Workshops 2019: 83-90
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Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh, Afzel Noore:
Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine. CVPR Workshops 2019: 236-245
[c137]
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Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Detecting Textured Contact Lens in Uncontrolled Environment Using DensePAD. CVPR Workshops 2019: 2336-2344
[c136]
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Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DeepRing: Protecting Deep Neural Network With Blockchain. CVPR Workshops 2019: 2821-2828
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Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
On Learning Density Aware Embeddings. CVPR 2019: 4884-4892
[c134]
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Sanchit Gupta, Nikita Gupta, Soumyadeep Ghosh, Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions. FG 2019: 1-7
[c133]
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Isha Kalra, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, P. B. Sujit:
DroneSURF: Benchmark Dataset for Drone-based Face Recognition. FG 2019: 1-7
[c132]
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Akshay Agarwal, Akarsha Sehwag, Mayank Vatsa, Richa Singh:
Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms. ICB 2019: 1-6
[c131]
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Suril Mehta, Anannya Uberoi, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Crafting A Panoptic Face Presentation Attack Detector. ICB 2019: 1-6
[c130]
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Ramya Y. S., Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Face Sketch Colorization via Supervised GANs. ICB 2019: 1-6
[c129]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. ICCV 2019: 340-349
[c128]
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Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. ICCV Workshops 2019: 542-550
[c127]
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Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Triplet Transform Learning for Automated Primate Face Recognition. ICIP 2019: 3462-3466
[c126]
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Pavani Tripathi, Rohit Keshari, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
AUTO-G: Gesture Recognition in the Crowd for Autonomous Vehicl. ICIP 2019: 3482-3486
[c125]
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Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Siamese Deep Dictionary Learning. IJCNN 2019: 1-6
[c124]
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Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra:
Latent Fingerprint Enhancement Using Generative Adversarial Networks. WACV 2019: 895-903
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Aakarsh Malhotra, Shaan Chopra, Mayank Vatsa, Richa Singh:
User Authentication via Finger-Selfies. Selfie Biometrics 2019: 21-47
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David Yambay, Adam Czajka, Kevin W. Bowyer, Mayank Vatsa, Richa Singh, Afzel Noore, Naman Kohli, Daksha Yadav, Stephanie Schuckers:
Review of Iris Presentation Attack Detection Competitions. Handbook of Biometric Anti-Spoofing, 2nd Ed. 2019: 169-183
[i28]
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Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. CoRR abs/1901.09237 (2019)
[i27]
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Deep Learning for Face Recognition: Pride or Prejudiced? CoRR abs/1904.01219 (2019)
[i26]
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Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
On Learning Density Aware Embeddings. CoRR abs/1904.03911 (2019)
[i25]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Dual Directed Capsule Network for Very Low Resolution Image Recognition. CoRR abs/1908.10027 (2019)
[i24]
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Raunak Sinha, Anush Sankaran, Mayank Vatsa, Richa Singh:
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework. CoRR abs/1911.13250 (2019)
2018
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Pawas Chhokra, Anurag Chowdhury, Gaurav Goswami, Mayank Vatsa, Richa Singh:
Unconstrained Kinect video face database. Inf. Fusion 44: 113-125 (2018)
[j56]
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Tejas I. Dhamecha, Mahek Shah, Priyanka Verma, Mayank Vatsa, Richa Singh:
CrowdFaceDB: Database and benchmarking for face verification in crowd. Pattern Recognit. Lett. 107: 17-24 (2018)
[j55]
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Ajay Shankar, Mayank Vatsa, P. B. Sujit:
A Low-Cost Monocular Vision-Based Obstacle Avoidance Using SVM and Optical Flow. Unmanned Syst. 6(4): 267-275 (2018)
[c123]
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Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. AAAI 2018: 6829-6836
[c122]
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Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect? BTAS 2018: 1-7
[c121]
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Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. BTAS 2018: 1-7
[c120]
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Akhil Goel, Anirudh Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition. BTAS 2018: 1-7
[c119]
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Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. BTAS 2018: 1-7
[c118]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Afzel Noore:
Learning A Shared Transform Model for Skull to Digital Face Image Matching. BTAS 2018: 1-7
[c117]
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Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Faces with Alterations due to Plastic Surgery and Disguise. BTAS 2018: 1-7
[c116]
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Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Disguised Faces in the Wild. CVPR Workshops 2018: 1-9
[c115]
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Identity Aware Synthesis for Cross Resolution Face Recognition. CVPR Workshops 2018: 479-488
[c114]
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Shaan Chopra, Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
Unconstrained Fingerphoto Database. CVPR Workshops 2018: 517-525
[c113]
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Daksha Yadav, Naman Kohli, Akshay Agarwal, Mayank Vatsa, Richa Singh, Afzel Noore:
Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection. CVPR Workshops 2018: 572-579
[c112]
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Daksha Yadav, Naman Kohli, Ekampreet Kalsi, Mayank Vatsa, Richa Singh, Afzel Noore:
Unraveling Human Perception of Facial Aging Using Eye Gaze. CVPR Workshops 2018: 2140-2147
[c111]
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Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
On Detecting Domestic Abuse via Faces. CVPR Workshops 2018: 2173-2179
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Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore:
Learning Structure and Strength of CNN Filters for Small Sample Size Training. CVPR 2018: 9349-9358
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Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand:
Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) 2018: 541-555
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Ishita Gupta, Ikshu Bhalla, Richa Singh, Mayank Vatsa:
Scattering Transform for Matching Surgically Altered Face Images. ICPR 2018: 2215-2220
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Aditya Lakra, Pavani Tripathi, Rohit Keshari, Mayank Vatsa, Richa Singh:
SegDenseNet: Iris Segmentation for Pre-and-Post Cataract Surgery. ICPR 2018: 3150-3155
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Sahar Siddiqui, Mayank Vatsa, Richa Singh:
Face Recognition for Newborns, Toddlers, and Pre-School Children: A Deep Learning Approach. ICPR 2018: 3156-3161
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Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta:
Anonymizing k Facial Attributes via Adversarial Perturbations. IJCAI 2018: 656-662
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Aakarsh Malhotra, Richa Singh, Mayank Vatsa, Vishal M. Patel:
Person Authentication Using Head Images. WACV 2018: 409-417
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Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Iris Presentation Attack via Textured Contact Lens in Unconstrained Environment. WACV 2018: 503-511
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Aditya Lakra, Pavani Tripathi, Rohit Keshari, Mayank Vatsa, Richa Singh:
SegDenseNet: Iris Segmentation for Pre and Post Cataract Surgery. CoRR abs/1801.10100 (2018)
[i22]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Angshul Majumdar:
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis. CoRR abs/1802.08057 (2018)
[i21]
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Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks. CoRR abs/1803.00401 (2018)
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Are you eligible? Predicting adulthood from face images via class specific mean autoencoder. CoRR abs/1803.07385 (2018)
[i19]
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Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. CoRR abs/1803.07386 (2018)
[i18]
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Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore:
Learning Structure and Strength of CNN Filters for Small Sample Size Training. CoRR abs/1803.11405 (2018)
[i17]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification. CoRR abs/1805.07905 (2018)
[i16]
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Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta:
Anonymizing k-Facial Attributes via Adversarial Perturbations. CoRR abs/1805.09380 (2018)
[i15]
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Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Hierarchical Representation Learning for Kinship Verification. CoRR abs/1805.10557 (2018)
[i14]
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Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos. CoRR abs/1805.12167 (2018)
[i13]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa, Afzel Noore:
Learning A Shared Transform Model for Skull to Digital Face Image Matching. CoRR abs/1808.04571 (2018)
[i12]
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore:
Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss! CoRR abs/1810.06221 (2018)
[i11]
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Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition. CoRR abs/1811.00846 (2018)
[i10]
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Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
On Matching Faces with Alterations due to Plastic Surgery and Disguise. CoRR abs/1811.07318 (2018)
[i9]
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Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. CoRR abs/1811.08837 (2018)
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Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-tuning. CoRR abs/1812.03944 (2018)
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Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. CoRR abs/1812.03965 (2018)
2017
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Paritosh Mittal, Aishwarya Jain, Gaurav Goswami, Mayank Vatsa, Richa Singh:
Composite sketch recognition using saliency and attribute feedback. Inf. Fusion 33: 86-99 (2017)
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Anush Sankaran, Aayush Jain, Tarun Vashisth, Mayank Vatsa, Richa Singh:
Adaptive latent fingerprint segmentation using feature selection and random decision forest classification. Inf. Fusion 34: 1-15 (2017)
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Anush Sankaran, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Group sparse autoencoder. Image Vis. Comput. 60: 64-74 (2017)
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Angshul Majumdar, Richa Singh, Mayank Vatsa:
Face Verification via Class Sparsity Based Supervised Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1273-1280 (2017)
[j50]
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Anush Sankaran, Gaurav Goswami, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Class sparsity signature based Restricted Boltzmann Machine. Pattern Recognit. 61: 674-685 (2017)
[j49]
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Gaurav Goswami, Mayank Vatsa, Richa Singh:
Face Verification via Learned Representation on Feature-Rich Video Frames. IEEE Trans. Inf. Forensics Secur. 12(7): 1686-1698 (2017)
[j48]
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Ishan Manjani, Snigdha Tariyal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning. IEEE Trans. Inf. Forensics Secur. 12(7): 1713-1723 (2017)
[j47]
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Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Hierarchical Representation Learning for Kinship Verification. IEEE Trans. Image Process. 26(1): 289-302 (2017)
[c102]
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Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore:
Face Presentation Attack with Latex Masks in Multispectral Videos. CVPR Workshops 2017: 275-283
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Tarang Chugh, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition. CVPR Workshops 2017: 619-627
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Aparna Bharati, Mayank Vatsa, Richa Singh, Kevin W. Bowyer, Xin Tong:
Demography-based facial retouching detection using subclass supervised sparse autoencoder. IJCB 2017: 474-482
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Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Unconstrained visible spectrum iris with textured contact lens variations: Database and benchmarking. IJCB 2017: 574-580
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Pratichi Basak, Saurabh De, Mallika Agarwal, Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
Multimodal biometric recognition for toddlers and pre-school children. IJCB 2017: 627-633
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Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore:
SWAPPED! Digital face presentation attack detection via weighted local magnitude pattern. IJCB 2017: 659-665
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Gender and ethnicity classification of Iris images using deep class-encoder. IJCB 2017: 666-673
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Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Synthetic iris presentation attack using iDCGAN. IJCB 2017: 674-680
[c94]
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David Yambay, Benedict Becker, Naman Kohli, Daksha Yadav, Adam Czajka, Kevin W. Bowyer, Stephanie Schuckers, Richa Singh, Mayank Vatsa, Afzel Noore, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Lingxiao He, Yiwei Ru, Haiqing Li, Nianfeng Liu, Zhenan Sun, Tieniu Tan:
LivDet iris 2017 - Iris liveness detection competition 2017. IJCB 2017: 733-741
[c93]
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Shruti Nagpal, Maneet Singh, Arushi Jain, Richa Singh, Mayank Vatsa, Afzel Noore:
On matching skulls to digital face images: A preliminary approach. IJCB 2017: 813-819
[c92]
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar:
Face Sketch Matching via Coupled Deep Transform Learning. ICCV 2017: 5429-5438
[c91]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class representative autoencoder for low resolution multi-spectral gender classification. IJCNN 2017: 1026-1033
[c90]
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Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar:
Kernel group sparse representation based classifier for multimodal biometrics. IJCNN 2017: 2894-2901
[c89]
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Daksha Yadav, Naman Kohli, Shruti Nagpal, Maneet Singh, Prateekshit Pandey, Mayank Vatsa, Richa Singh, Afzel Noore, Gokulraj Prabhakaran, Harsh Mahajan:
Region-specific fMRI dictionary for decoding face verification in humans. IJCNN 2017: 3814-3821
[c88]
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Brian M. Powell, Ekampreet Kalsy, Gaurav Goswami, Mayank Vatsa, Richa Singh, Afzel Noore:
Attack-Resistant aiCAPTCHA Using a Negative Selection Artificial Immune System. IEEE Symposium on Security and Privacy Workshops 2017: 41-46
[i6]
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Aparna Bharati, Mayank Vatsa, Richa Singh, Kevin W. Bowyer, Xin Tong:
Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder. CoRR abs/1709.07598 (2017)
[i5]
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Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Afzel Noore, Angshul Majumdar:
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder. CoRR abs/1710.02856 (2017)
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Shruti Nagpal, Maneet Singh, Arushi Jain, Richa Singh, Mayank Vatsa, Afzel Noore:
On Matching Skulls to Digital Face Images: A Preliminary Approach. CoRR abs/1710.02866 (2017)
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Afzel Noore, Angshul Majumdar:
Face Sketch Matching via Coupled Deep Transform Learning. CoRR abs/1710.02914 (2017)
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Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Synthetic Iris Presentation Attack using iDCGAN. CoRR abs/1710.10565 (2017)
2016
[j46]
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Snigdha Tariyal, Angshul Majumdar, Richa Singh, Mayank Vatsa:
Deep Dictionary Learning. IEEE Access 4: 10096-10109 (2016)
[j45]
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Gaurav Goswami, Paritosh Mittal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Group sparse representation based classification for multi-feature multimodal biometrics. Inf. Fusion 32: 3-12 (2016)
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Shruti Nagpal, Mayank Vatsa, Richa Singh:
Sketch Recognition: What Lies Ahead? Image Vis. Comput. 55: 9-13 (2016)
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Tejas Indulal Dhamecha, Richa Singh, Mayank Vatsa:
On incremental semi-supervised discriminant analysis. Pattern Recognit. 52: 135-147 (2016)
[j42]
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Hunny Mehrotra, Richa Singh, Mayank Vatsa, Banshidhar Majhi:
Incremental granular relevance vector machine: A case study in multimodal biometrics. Pattern Recognit. 56: 63-76 (2016)
[j41]
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Samarth Bharadwaj, Himanshu S. Bhatt, Mayank Vatsa, Richa Singh:
Domain Specific Learning for Newborn Face Recognition. IEEE Trans. Inf. Forensics Secur. 11(7): 1630-1641 (2016)
[j40]
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Aparna Bharati, Richa Singh, Mayank Vatsa, Kevin W. Bowyer:
Detecting Facial Retouching Using Supervised Deep Learning. IEEE Trans. Inf. Forensics Secur. 11(9): 1903-1913 (2016)
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Akshay Agarwal, Richa Singh, Mayank Vatsa:
Face anti-spoofing using Haralick features. BTAS 2016: 1-6
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Anurag Chowdhury, Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
RGB-D face recognition via learning-based reconstruction. BTAS 2016: 1-7
[c85]
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Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore:
Detecting medley of iris spoofing attacks using DESIST. BTAS 2016: 1-6
[c84]
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Brian M. Powell, Abhishek Kumar, Jatin Thapar, Gaurav Goswami, Mayank Vatsa, Richa Singh, Afzel Noore:
A multibiometrics-based CAPTCHA for improved online security. BTAS 2016: 1-8
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Maneet Singh, Shruti Nagpal, Nikita Gupta, Sanchit Gupta, Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
Cross-spectral cross-resolution video database for face recognition. BTAS 2016: 1-7
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Archit Taneja, Aakriti Tayal, Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh:
Fingerphoto spoofing in mobile devices: A preliminary study. BTAS 2016: 1-7
[c81]
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Prateekshit Pandey, Richa Singh, Mayank Vatsa:
Face recognition using scattering wavelet under Illicit Drug Abuse variations. ICB 2016: 1-6
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Soumyadeep Ghosh, Rohit Keshari, Richa Singh, Mayank Vatsa:
Face identification from low resolution near-infrared images. ICIP 2016: 938-942
[c79]
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Shivangi Yadav, Maneet Singh, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Low rank group sparse representation based classifier for pose variation. ICIP 2016: 2986-2990
[c78]
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Rohit Keshari, Soumyadeep Ghosh, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Mobile periocular matching with pre-post cataract surgery. ICIP 2016: 3116-3120
[c77]
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Shalini Verma, Paritosh Mittal, Mayank Vatsa, Richa Singh:
At-a-distance person recognition via combining ocular features. ICIP 2016: 3131-3135
[c76]
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Gaurav Goswami, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Improving classifier fusion via Pool Adjacent Violators normalization. ICPR 2016: 1011-1016
[c75]
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Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Face anti-spoofing with multifeature videolet aggregation. ICPR 2016: 1035-1040
[c74]
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Akshay Agarwal, Richa Singh, Mayank Vatsa:
Fingerprint sensor classification via Mélange of handcrafted features. ICPR 2016: 3001-3006
[c73]
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Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa:
Discriminative FaceTopics for face recognition via latent Dirichlet allocation. WACV 2016: 1-8
[c72]
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Daksha Yadav, Naman Kohli, Prateekshit Pandey, Richa Singh, Mayank Vatsa, Afzel Noore:
Effect of illicit drug abuse on face recognition. WACV 2016: 1-7
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  - books/sp/16/AgrawalPDSV16
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Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, Mayank Vatsa:
Understanding Thermal Face Detection: Challenges and Evaluation. Face Recognition Across the Imaging Spectrum 2016: 139-163
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Gaurav Goswami, Mayank Vatsa, Richa Singh:
Face Recognition with RGB-D Images Using Kinect. Face Recognition Across the Imaging Spectrum 2016: 281-303
[i1]
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Snigdha Tariyal, Angshul Majumdar, Richa Singh, Mayank Vatsa:
Greedy Deep Dictionary Learning. CoRR abs/1602.00203 (2016)
2015
[j39]
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Anush Sankaran, Mayank Vatsa, Richa Singh:
Multisensor Optical and Latent Fingerprint Database. IEEE Access 3: 653-665 (2015)
[j38]
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Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Regularized Deep Learning for Face Recognition With Weight Variations. IEEE Access 3: 3010-3018 (2015)
[j37]
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Mayank Vatsa, Richa Singh, Kevin W. Bowyer:
IEEE Access Special Section Editorial: Applying Four D'S of Machine Learning to Advance Biometrics. IEEE Access 3: 3083-3084 (2015)
[j36]
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Ishan Nigam, Shreyasi Agrawal, Richa Singh, Mayank Vatsa:
Revisiting HEp-2 Cell Image Classification. IEEE Access 3: 3102-3113 (2015)
[j35]
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Ishan Nigam, Mayank Vatsa, Richa Singh:
Ocular biometrics: A survey of modalities and fusion approaches. Inf. Fusion 26: 1-35 (2015)
[j34]
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Samarth Bharadwaj, Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, Afzel Noore:
QFuse: Online learning framework for adaptive biometric system. Pattern Recognit. 48(11): 3428-3439 (2015)
[c71]
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Aman Chahar, Shivangi Yadav, Ishan Nigam, Richa Singh, Mayank Vatsa:
A Leap Password based verification system. BTAS 2015: 1-6
[c70]
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Soumyadeep Ghosh, Tejas I. Dhamecha, Rohit Keshari, Richa Singh, Mayank Vatsa:
Feature and keypoint selection for visible to near-infrared face matching. BTAS 2015: 1-7
[c69]
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Shruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh:
Regularizing deep learning architecture for face recognition with weight variations. BTAS 2015: 1-6
[c68]
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Anush Sankaran, Akshay Agarwal, Rohit Keshari, Soumyadeep Ghosh, Anjali Sharma, Mayank Vatsa, Richa Singh:
Latent fingerprint from multiple surfaces: Database and quality analysis. BTAS 2015: 1-6
[c67]
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Anush Sankaran, Aakarsh Malhotra, Apoorva Mittal, Mayank Vatsa, Richa Singh:
On smartphone camera based fingerphoto authentication. BTAS 2015: 1-7
[c66]
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Tejas I. Dhamecha, Priyanka Verma, Mahek Shah, Richa Singh, Mayank Vatsa:
Annotated crowd video face database. ICB 2015: 106-112
[c65]
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Romil Bhardwaj, Gaurav Goswami, Richa Singh, Mayank Vatsa:
Harnessing social context for improved face recognition. ICB 2015: 121-126
[c64]
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Paritosh Mittal, Mayank Vatsa, Richa Singh:
Composite sketch recognition via deep network - a transfer learning approach. ICB 2015: 251-256
[c63]
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Aishwarya Jain, Paritosh Mittal, Gaurav Goswami, Mayank Vatsa, Richa Singh:
Person identification at a distance via ocular biometrics. ISBA 2015: 1-6
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Afzel Noore, Richa Singh, Mayank Vatsa:
Fusion, Sensor Level. Encyclopedia of Biometrics 2015: 772-778
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Himanshu Sharad Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa:
Plastic Surgery and Face Recognition. Encyclopedia of Biometrics 2015: 1257-1261
2014
[j33]
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Brian M. Powell, Gaurav Goswami, Mayank Vatsa, Richa Singh, Afzel Noore:
fgCAPTCHA: Genetically Optimized Face Image CAPTCHA 5. IEEE Access 2: 473-484 (2014)
[j32]
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Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
On Recognizing Face Images With Weight and Age Variations. IEEE Access 2: 822-830 (2014)
[j31]
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Anush Sankaran, Mayank Vatsa, Richa Singh:
Latent fingerprint matching: A survey. IEEE Access 2: 982-1004 (2014)
[j30]
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Samarth Bharadwaj, Mayank Vatsa, Richa Singh:
Biometric quality: a review of fingerprint, iris, and face. EURASIP J. Image Video Process. 2014: 34 (2014)
[j29]
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Gaurav Goswami, Brian M. Powell, Mayank Vatsa, Richa Singh, Afzel Noore:
FaceDCAPTCHA: Face detection based color image CAPTCHA. Future Gener. Comput. Syst. 31: 59-68 (2014)
[j28]
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Praful Agrawal, Mayank Vatsa, Richa Singh:
Saliency based mass detection from screening mammograms. Signal Process. 99: 29-47 (2014)
[j27]
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Daksha Yadav, Naman Kohli, James S. Doyle Jr., Richa Singh, Mayank Vatsa, Kevin W. Bowyer:
Unraveling the Effect of Textured Contact Lenses on Iris Recognition. IEEE Trans. Inf. Forensics Secur. 9(5): 851-862 (2014)
[j26]
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Himanshu S. Bhatt, Richa Singh, Mayank Vatsa:
On Recognizing Faces in Videos Using Clustering-Based Re-Ranking and Fusion. IEEE Trans. Inf. Forensics Secur. 9(7): 1056-1068 (2014)
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Gaurav Goswami, Mayank Vatsa, Richa Singh:
RGB-D Face Recognition With Texture and Attribute Features. IEEE Trans. Inf. Forensics Secur. 9(10): 1629-1640 (2014)
[j24]
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Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning. IEEE Trans. Image Process. 23(12): 5654-5669 (2014)
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Samarth Bharadwaj, Mayank Vatsa, Richa Singh:
Aiding face recognition with social context association rule based re-ranking. IJCB 2014: 1-8
[c61]
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Gaurav Goswami, Romil Bhardwaj, Richa Singh, Mayank Vatsa:
MDLFace: Memorability augmented deep learning for video face recognition. IJCB 2014: 1-7
[c60]
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Paritosh Mittal, Aishwarya Jain, Gaurav Goswami, Richa Singh, Mayank Vatsa:
Recognizing composite sketches with digital face images via SSD dictionary. IJCB 2014: 1-6
[c59]
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Anush Sankaran, Prateekshit Pandey, Mayank Vatsa, Richa Singh:
On latent fingerprint minutiae extraction using stacked denoising sparse AutoEncoders. IJCB 2014: 1-7
[c58]
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Anjali Sharma, Shalini Verma, Mayank Vatsa, Richa Singh:
On cross spectral periocular recognition. ICIP 2014: 5007-5011
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Ishan Nigam, Mayank Vatsa, Richa Singh:
Leap signature recognition using HOOF and HOT features. ICIP 2014: 5012-5016
[c56]
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Priyanshu Gupta, Shipra Behera, Mayank Vatsa, Richa Singh:
On Iris Spoofing Using Print Attack. ICPR 2014: 1681-1686
[c55]
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Tejas Indulal Dhamecha, Praneet Sharma, Richa Singh, Mayank Vatsa:
On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching. ICPR 2014: 1788-1793
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Ajay Shankar, Mayank Vatsa, P. B. Sujit:
Collision avoidance for a low-cost robot using SVM-based monocular vision. ROBIO 2014: 277-282
2013
[j23]
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Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa:
Recognizing Surgically Altered Face Images Using Multiobjective Evolutionary Algorithm. IEEE Trans. Inf. Forensics Secur. 8(1): 89-100 (2013)
[c53]
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Tarang Chugh, Himanshu S. Bhatt, Richa Singh, Mayank Vatsa:
Matching age separated composite sketches and digital face images. BTAS 2013: 1-6
[c52]
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Gaurav Goswami, Samarth Bharadwaj, Mayank Vatsa, Richa Singh:
On RGB-D face recognition using Kinect. BTAS 2013: 1-6
[c51]
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Anush Sankaran, Mayank Vatsa, Richa Singh:
Automated clarity and quality assessment for latent fingerprints. BTAS 2013: 1-6
[c50]
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Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh:
Computationally Efficient Face Spoofing Detection with Motion Magnification. CVPR Workshops 2013: 105-110
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Daksha Yadav, Mayank Vatsa, Richa Singh, Massimo Tistarelli:
Bacteria Foraging Fusion for Face Recognition across Age Progression. CVPR Workshops 2013: 173-179
[c48]
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Himanshu S. Bhatt, Richa Singh, Mayank Vatsa:
Can Combining Demographics and Biometrics Improve De-duplication Performance? CVPR Workshops 2013: 188-193
[c47]
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Tejas I. Dhamecha, Aastha Nigam, Richa Singh, Mayank Vatsa:
Disguise detection and face recognition in visible and thermal spectrums. ICB 2013: 1-8
[c46]
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Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh:
Revisiting iris recognition with color cosmetic contact lenses. ICB 2013: 1-7
[c45]
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Samarth Bharadwaj, Mayank Vatsa, Richa Singh:
Can holistic representations be used for face biometric quality assessment? ICIP 2013: 2792-2796
[c44]
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Paritosh Mittal, Aishwarya Jain, Richa Singh, Mayank Vatsa:
Boosting local descriptors for matching composite and digital face images. ICIP 2013: 2797-2801
[c43]
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Himanshu S. Bhatt, Richa Singh, Mayank Vatsa:
On rank aggregation for face recognition from videos. ICIP 2013: 2993-2997
[c42]
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Praful Agrawal, Mayank Vatsa, Richa Singh:
HEp-2 Cell Image Classification: A Comparative Analysis. MLMI 2013: 195-202
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Julian Fiérrez, Ajay Kumar, Mayank Vatsa, Raymond N. J. Veldhuis, Javier Ortega-Garcia:
International Conference on Biometrics, ICB 2013, 4-7 June, 2013, Madrid, Spain. IEEE 2013, ISBN 978-1-4799-0310-8 [contents]
2012
[j22]
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Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa:
Memetically Optimized MCWLD for Matching Sketches With Digital Face Images. IEEE Trans. Inf. Forensics Secur. 7(5): 1522-1535 (2012)
[c41]
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Naman Kohli, Richa Singh, Mayank Vatsa:
Self-similarity representation of Weber faces for kinship classification. BTAS 2012: 245-250
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Sunpreet S. Arora, Mayank Vatsa, Richa Singh, Anil K. Jain:
On iris camera interoperability. BTAS 2012: 346-352
[c39]
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Anush Sankaran, Mayank Vatsa, Richa Singh:
Hierarchical fusion for matching simultaneous latent fingerprint. BTAS 2012: 377-382
[c38]
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Gaurav Goswami, Richa Singh, Mayank Vatsa, Brian M. Powell, Afzel Noore:
Face recognition CAPTCHA. BTAS 2012: 412-417
[c37]
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Hunny Mehrotra, Mayank Vatsa, Richa Singh, Banshidhar Majhi:
Biometric match score fusion using RVM: A case study in multi-unit iris recognition. CVPR Workshops 2012: 65-70
[c36]
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Sunpreet S. Arora, Mayank Vatsa, Richa Singh, Anil K. Jain:
Iris recognition under alcohol influence: A preliminary study. ICB 2012: 336-341
[c35]
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Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh:
Incremental subclass discriminant analysis: A case study in face recognition. ICIP 2012: 593-596
[c34]
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Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Matching cross-resolution face images using co-transfer learning. ICIP 2012: 1453-1456
2011
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Mayank Vatsa, Richa Singh, Afzel Noore, Keith B. Morris:
Simultaneous latent fingerprint recognition. Appl. Soft Comput. 11(7): 4260-4266 (2011)
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Samarth Bharadwaj, Himanshu S. Bhatt, Mayank Vatsa, Richa Singh, Afzel Noore:
Quality assessment based denoising to improve face recognition performance. CVPR Workshops 2011: 140-145
[c32]
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Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa, Afzel Noore:
Evolutionary granular approach for recognizing faces altered due to plastic surgery. FG 2011: 720-725
[c31]
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Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa, Afzel Noore, Arun Ross:
On co-training online biometric classifiers. IJCB 2011: 1-7
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Himanshu S. Bhatt, Samarth Bharadwaj, Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore:
A framework for quality-based biometric classifier selection. IJCB 2011: 1-7
[c29]
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Tejas I. Dhamecha, Anush Sankaran, Richa Singh, Mayank Vatsa:
Is gender classification across ethnicity feasible using discriminant functions? IJCB 2011: 1-7
[c28]
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Hemank Lamba, Ankit Sarkar, Mayank Vatsa, Richa Singh, Afzel Noore:
Face recognition for look-alikes: A preliminary study. IJCB 2011: 1-6
[c27]
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Anush Sankaran, Tejas I. Dhamecha, Mayank Vatsa, Richa Singh:
On matching latent to latent fingerprints. IJCB 2011: 1-6
2010
[j20]
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Brian M. Powell, Adam C. Day, Richa Singh, Mayank Vatsa, Afzel Noore:
Image-based face detection CAPTCHA for improved security. Int. J. Multim. Intell. Secur. 1(3): 269-284 (2010)
[j19]
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Richa Singh, Mayank Vatsa, Arun Ross, Afzel Noore:
Biometric classifier update using online learning: A case study in near infrared face verification. Image Vis. Comput. 28(7): 1098-1105 (2010)
[j18]
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Richa Singh, Mayank Vatsa, Himanshu S. Bhatt, Samarth Bharadwaj, Afzel Noore, Shahin S. Nooreyezdan:
Plastic surgery: a new dimension to face recognition. IEEE Trans. Inf. Forensics Secur. 5(3): 441-448 (2010)
[j17]
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Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross:
On the dynamic selection of biometric fusion algorithms. IEEE Trans. Inf. Forensics Secur. 5(3): 470-479 (2010)
[c26]
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Samarth Bharadwaj, Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, Sanjay Kumar Singh:
Face recognition for newborns: A preliminary study. BTAS 2010: 1-6
[c25]
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Samarth Bharadwaj, Himanshu S. Bhatt, Mayank Vatsa, Richa Singh:
Periocular biometrics: When iris recognition fails. BTAS 2010: 1-6
[c24]
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Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa:
On matching sketches with digital face images. BTAS 2010: 1-7
[c23]
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Mayank Vatsa, Richa Singh, Samarth Bharadwaj, Himanshu S. Bhatt, Afzel Noore:
Matching digital and scanned face images with age variation. BTAS 2010: 1-6
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Charvi Puri, Kanika Narang, A. Tiwari, Mayank Vatsa, Richa Singh:
On Analysis of Rural and Urban Indian Fingerprint Images. ICEB 2010: 55-61
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Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa:
Face Recognition and Plastic Surgery: Social, Ethical and Engineering Challenges. ICEB 2010: 70-75
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Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore:
Quality-Based Fusion for Multichannel Iris Recognition. ICPR 2010: 1314-1317

2000 – 2009

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2009
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Mayank Vatsa, Richa Singh, Afzel Noore, Max M. Houck:
Quality-augmented fusion of level-2 and level-3 fingerprint information using DSm theory. Int. J. Approx. Reason. 50(1): 51-61 (2009)
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Richa Singh, Mayank Vatsa, Afzel Noore:
Face recognition with disguise and single gallery images. Image Vis. Comput. 27(3): 245-257 (2009)
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Mayank Vatsa, Richa Singh, Afzel Noore:
Feature based RDWT watermarking for multimodal biometric system. Image Vis. Comput. 27(3): 293-304 (2009)
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Mayank Vatsa, Richa Singh, Afzel Noore, Sanjay Kumar Singh:
Combining pores and ridges with minutiae for improved fingerprint verification. Signal Process. 89(12): 2676-2685 (2009)
[j12]
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Richa Singh, Mayank Vatsa, Sanjay Kumar Singh, Saurabh Upadhyay:
Integrating SVM classification with SVD watermarking for intelligent video authentication. Telecommun. Syst. 40(1-2): 5-15 (2009)
[j11]
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Mayank Vatsa, Richa Singh, Afzel Noore:
Unification of Evidence-Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features. IEEE Trans. Syst. Man Cybern. Part A 39(1): 47-56 (2009)
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Richa Singh, Mayank Vatsa, Afzel Noore:
Effect of plastic surgery on face recognition: A preliminary study. CVPR Workshops 2009: 72-77
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Richa Singh, Mayank Vatsa, Afzel Noore:
Multimodal Medical Image Fusion Using Redundant Discrete Wavelet Transform. ICAPR 2009: 232-235
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Mayank Vatsa, Richa Singh, Afzel Noore, Sanjay Kumar Singh:
Belief Function Theory Based Biometric Match Score Fusion: Case Studies in Multi-instance and Multi-unit Iris Verification. ICAPR 2009: 433-436
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Mayank Vatsa, Richa Singh, Afzel Noore:
Denoising and Segmentation of 3D Brain Images. IPCV 2009: 561-567
[c15]
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Richa Singh, Mayank Vatsa, Afzel Noore:
Fingerprint Indexing using Minutiae and Pore Features. IPCV 2009: 870-875
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Mayank Vatsa, Richa Singh, Afzel Noore:
Context Switching Algorithm for Selective Multibiometric Fusion. PReMI 2009: 452-457
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Afzel Noore, Richa Singh, Mayank Vatsa:
Fusion, Sensor-Level. Encyclopedia of Biometrics 2009: 616-621
2008
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Richa Singh, Mayank Vatsa, Afzel Noore:
Hierarchical fusion of multi-spectral face images for improved recognition performance. Inf. Fusion 9(2): 200-210 (2008)
[j9]
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Richa Singh, Mayank Vatsa, Afzel Noore:
Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition. Pattern Recognit. 41(3): 880-893 (2008)
[j8]
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Mayank Vatsa, Richa Singh, Afzel Noore:
Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1021-1035 (2008)
[c13]
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Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore:
Likelihood ratio in a SVM framework: Fusing linear and non-linear face classifiers. CVPR Workshops 2008: 1-6
[c12]
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Richa Singh, Mayank Vatsa, Afzel Noore:
Multiclass mv-granular soft support vector machine: A case study in dynamic classifier selection for multispectral face recognition. ICPR 2008: 1-4
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Mayank Vatsa, Richa Singh, Afzel Noore:
SVM Based Adaptive Biometric Image Enhancement Using Quality Assessment. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 351-371
2007
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Mayank Vatsa, Richa Singh, Afzel Noore:
Integrating Image Quality in 2nu-SVM Biometric Match Score Fusion. Int. J. Neural Syst. 17(5): 343-351 (2007)
[j6]
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Afzel Noore, Richa Singh, Mayank Vatsa:
Robust memory-efficient data level information fusion of multi-modal biometric images. Inf. Fusion 8(4): 337-346 (2007)
[j5]
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Richa Singh, Mayank Vatsa, Afzel Noore:
Improving verification accuracy by synthesis of locally enhanced biometric images and deformable model. Signal Process. 87(11): 2746-2764 (2007)
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Richa Singh, Mayank Vatsa, Arun Ross, Afzel Noore:
A Mosaicing Scheme for Pose-Invariant Face Recognition. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1212-1225 (2007)
[c11]
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Richa Singh, Mayank Vatsa, Afzel Noore, Sanjay K. Singh:
Age Transformation for Improving Face Recognition Performance. PReMI 2007: 576-583
2006
[j3]
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Mayank Vatsa, Richa Singh, Afzel Noore, Max M. Houck, Keith B. Morris:
Robust biometric image watermarking for fingerprint and face template protection. IEICE Electron. Express 3(2): 23-28 (2006)
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Richa Singh, Mayank Vatsa, Afzel Noore, Sanjay K. Singh:
DS theory based fingerprint classifier fusion with update rule to minimize training time. IEICE Electron. Express 3(20): 429-435 (2006)
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Richa Singh, Mayank Vatsa, Afzel Noore, Sanjay K. Singh:
Dempster-Shafer Theory Based Classifier Fusion for Improved Fingerprint Verification Performance. ICVGIP 2006: 941-949
2005
[j1]
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Mayank Vatsa, Richa Singh, Afzel Noore:
Improving biometric recognition accuracy and robustness using DWT and SVM watermarking. IEICE Electron. Express 2(12): 362-367 (2005)
[c9]
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Richa Singh, Mayank Vatsa, Arun Ross, Afzel Noore:
Performance Enhancement of 2D Face Recognition via Mosaicing. AutoID 2005: 63-68
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Mayank Vatsa, Richa Singh, Phalguni Gupta, A. K. Kaushik:
Biometric Databases. Encyclopedia of Database Technologies and Applications 2005: 42-46
2004
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Bhola Ram Meena, Mayank Vatsa, Richa Singh, Phalguni Gupta:
Iris Based Human Verification Algorithms. ICBA 2004: 458-466
[c7]
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Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore:
Signature Verification Using Static and Dynamic Features. ICONIP 2004: 350-355
[c6]
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Mayank Vatsa, Richa Singh, Phalguni Gupta:
Multi Biometric System for Verification with Minimum Training Data. ICVGIP 2004: 569-574
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Mayank Vatsa, Richa Singh, Phalguni Gupta:
Face recognition using multiple recognizers. SMC (3) 2004: 2186-2190
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Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore:
Digital watermarking based secure multimodal biometric system. SMC (3) 2004: 2983-2987
2002
[c3]
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Sanjay K. Singh, Mayank Vatsa, Richa Singh, D. S. Chauhan:
A Comparison of Face Recognition Algorithms (Feature Based, Eigen Based, Neural Network Based Approaches). IS 2002: 227-
[c2]
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Sanjay K. Singh, Mayank Vatsa, Richa Singh, R. B. Lokesh:
Image Database for Automatic Face Recognition. JCIS 2002: 704-707
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Sanjay K. Singh, Mayank Vatsa, Richa Singh, D. S. Chauhan:
A comparison of face recognition algorithms neural network based & line based approaches. SMC 2002: 6

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