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ORCIDMayank Vatsa
Person information
- affiliation: IIT Jodhpur, India
- affiliation (former): IIIT Delhi
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2020 – today
- 2023
[j93]Akshay Agarwal
, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Parameter agnostic stacked wavelet transformer for detecting singularities. Inf. Fusion 95: 415-425 (2023)- [j92]Puspita Majumdar, Mayank Vatsa, Richa Singh:
Uniform misclassification loss for unbiased model prediction. Pattern Recognit. 144: 109689 (2023) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [c208]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 - [c207]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 - [c206]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. CVPR 2023: 9739-9748 - [c205]Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? FG 2023: 1-7 - [c204]Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. FG 2023: 1-6 - [c203]Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Federated Learning for Local and Global Data Distribution. Tiny Papers @ ICLR 2023 - [c202]Kartik Thakral, Surbhi Mittal, Utkarsh Uppal, Bharat Giddwani, Mayank Vatsa, Richa Singh:
Self-Supervised Continual Learning. Tiny Papers @ ICLR 2023 - [c201]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]Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury:
On AI-Assisted Pneumoconiosis Detection from Chest X-rays. IJCAI 2023: 6353-6361 - [c199]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]Rishabh Ranjan, Mayank Vatsa, Richa Singh:
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. IJCAI 2023: 6750-6758 - [c197]Aakarsh Malhotra, Mayank Vatsa, Richa Singh:
MMFV: A Multi-Movement Finger-Video Database for Contactless Fingerprint Recognition. IWBF 2023: 1-6 - [c196]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 - [i52]Rishabh Ranjan, Mayank Vatsa, Richa Singh:
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. CoRR abs/2307.06669 (2023) - 2022
- [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh:
Enhanced iris presentation attack detection via contraction-expansion CNN. Pattern Recognit. Lett. 159: 61-69 (2022) - [j82]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) - [j81]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) - [j80]Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Disguise Resilient Face Verification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3895-3905 (2022) - [j79]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) - [j78]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) - [c195]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. AAAI 2022: 12351-12358 - [c194]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. CVPR Workshops 2022: 178-185 - [c193]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 - [c192]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Benchmarking Robustness Beyond lp Norm Adversaries. ECCV Workshops (1) 2022: 342-359 - [c191]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 - [c190]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 - [c189]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. IJCB 2022: 1-10 - [c188]Rishabh Ranjan, Mayank Vatsa, Richa Singh:
STATNet: Spectral and Temporal features based Multi-Task Network for Audio Spoofing Detection. IJCB 2022: 1-9 - [c187]Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. ICPR 2022: 1134-1140 - [p8]Puspita Majumdar, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Facial Retouching and Alteration Detection. Handbook of Digital Face Manipulation and Detection 2022: 367-387 - [i51]Sasikanth Kotti, Mayank Vatsa, Richa Singh:
On GANs perpetuating biases for face verification. CoRR abs/2208.13061 (2022) - [i50]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. CoRR abs/2209.09111 (2022) - [i49]Surbhi Mittal, Kartik Thakral, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Are Face Detection Models Biased? CoRR abs/2211.03588 (2022) - 2021
- [j77]Tejas I. Dhamecha, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Kernelized Heterogeneity-Aware Cross-View Face Recognition. Frontiers Artif. Intell. 4: 670538 (2021) - [j76]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Discriminative shared transform learning for sketch to image matching. Pattern Recognit. 114: 107815 (2021) - [j75]Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh:
Improving face recognition performance using TeCS2 dictionary. Pattern Recognit. Lett. 145: 88-95 (2021) - [j74]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]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]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]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]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]Puspita Majumdar, Richa Singh, Mayank Vatsa:
On Learning Deep Models with Imbalanced Data Distribution. AAAI 2021: 15720-15721 - [c185]Akshay Agarwal, Mayank Vatsa, Richa Singh:
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). AAAI 2021: 15745-15746 - [c184]Arushi Chauhan, Mayank Vatsa, Richa Singh:
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). AAAI 2021: 15767-15768 - [c183]Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Detection of Digital Manipulation in Facial Images (Student Abstract). AAAI 2021: 15845-15846 - [c182]Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). AAAI 2021: 15903-15904 - [c181]Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. COMAD/CODS 2021: 449-453 - [c180]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]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. FG 2021: 1-5 - [c178]Muskan Dosi, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
AECNet: Attentive EfficientNet For Crowd Counting. FG 2021: 1-8 - [c177]Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Afzel Noore:
RGB-D Face Recognition using Reconstruction based Shared Representation. FG 2021: 1-8 - [c176]Shiksha Mishra, Puspita Majumdar, Muskan Dosi, Mayank Vatsa, Richa Singh:
Dual Sensor Indian Masked Face Dataset. FG 2021: 1-8 - [c175]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]Puspita Majumdar, Richa Singh, Mayank Vatsa:
Attention Aware Debiasing for Unbiased Model Prediction. ICCVW 2021: 4116-4124 - [c173]Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. ICIP 2021: 824-828 - [c172]Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. ICIP 2021: 884-888 - [c171]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. IJCNN 2021: 1-8 - [c170]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. IJCNN 2021: 1-8 - [c169]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 - [c168]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Impact of Super-Resolution and Human Identification in Drone Surveillance. WIFS 2021: 1-6 - [i48]Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Class Equilibrium using Coulomb's Law. CoRR abs/2104.12287 (2021) - [i47]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. CoRR abs/2105.00241 (2021) - [i46]Shiksha Mishra, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Indian Masked Faces in the Wild Dataset. CoRR abs/2106.09670 (2021) - [i45]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) - [i44]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]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]Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. CoRR abs/2112.06522 (2021) - 2020
- [j69]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. Frontiers Big Data 3: 590296 (2020) - [j68]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) - [j67]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) - [j66]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) - [c167]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]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 - [c165]Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh:
Unravelling Small Sample Size Problems in the Deep Learning World. BigMM 2020: 134-143 - [c164]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DNDNet: Reconfiguring CNN for Adversarial Robustness. CVPR Workshops 2020: 103-110 - [c163]Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh:
On Privacy Preserving Anonymization of Finger-selfies. CVPR Workshops 2020: 120-128 - [c162]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Attribute Aware Filter-Drop for Bias-Invariant Classification. CVPR Workshops 2020: 147-153 - [c161]Akshay Agarwal, Richa Singh, Mayank Vatsa:
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. CVPR Workshops 2020: 2748-2756 - [c160]Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. CVPR Workshops 2020: 2870-2879 - [c159]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 - [c158]Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning via Over-Complete Distribution. CVPR 2020: 13297-13305 - [c157]Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. ECCV Workshops (1) 2020: 152-168 - [c156]Raunak Sinha, Mayank Vatsa, Richa Singh:
FamilyGAN: Generating Kin Face Images Using Generative Adversarial Networks. ECCV Workshops (3) 2020: 297-311 - [c155]Amlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh:
Disguised Face Verification Using Inverse Disguise Quality. ECCV Workshops (6) 2020: 524-540 - [c154]Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa:
Diversity Blocks for De-biasing Classification Models. IJCB 2020: 1-9 - [c153]Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. ICPR 2020: 5302-5309 - [c152]Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR 2020: 5318-5325 - [c151]Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. ICPR 2020: 5511-5518 - [c150]Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. ICPR 2020: 10090-10097 - [c149]Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. WACV 2020: 2578-2586 - [p7]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 - [p6]Anush Sankaran, Mayank Vatsa, Richa Singh:
Intuition Learning. Domain Adaptation for Visual Understanding 2020: 111-127 - [e2]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]Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. CoRR abs/2001.07444 (2020) - [i40]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]Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning Via Over-Complete Distribution. CoRR abs/2004.00666 (2020) - [i38]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]Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subclass Contrastive Loss for Injured Face Recognition. CoRR abs/2008.01993 (2020) - [i36]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]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]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]Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. CoRR abs/2010.13246 (2020) - [i32]Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. CoRR abs/2010.13247 (2020) - [i31]Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. CoRR abs/2010.15773 (2020) - [i30]Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. CoRR abs/2011.02272 (2020) - [i29]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
- 2019
- [j65]