Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images A Malhotra, S Mittal, P Majumdar, S Chhabra, K Thakral, M Vatsa, R Singh, ... Pattern Recognition 122, 108243, 2022 | 71 | 2022 |
Evading face recognition via partial tampering of faces P Majumdar, A Agarwal, R Singh, M Vatsa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 44 | 2019 |
Detecting GANs and retouching based digital alterations via DAD-HCNN A Jain, P Majumdar, R Singh, M Vatsa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
Anatomizing bias in facial analysis R Singh, P Majumdar, S Mittal, M Vatsa Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12351 …, 2022 | 29 | 2022 |
Unravelling the effect of image distortions for biased prediction of pre-trained face recognition models P Majumdar, S Mittal, R Singh, M Vatsa Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
Attention aware debiasing for unbiased model prediction P Majumdar, R Singh, M Vatsa Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
Facial retouching and alteration detection P Majumdar, A Agarwal, M Vatsa, R Singh Handbook of Digital Face Manipulation and Detection: From DeepFakes to …, 2022 | 15 | 2022 |
Subgroup invariant perturbation for unbiased pre-trained model prediction P Majumdar, S Chhabra, R Singh, M Vatsa Frontiers in big Data 3, 590296, 2021 | 14 | 2021 |
Data fine-tuning S Chhabra, P Majumdar, M Vatsa, R Singh Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8223-8230, 2019 | 14 | 2019 |
Indian masked faces in the wild dataset S Mishra, P Majumdar, R Singh, M Vatsa 2021 IEEE International Conference on Image Processing (ICIP), 884-888, 2021 | 11 | 2021 |
A novel abnormality annotation database for COVID-19 affected frontal lung X-rays S Mittal, VK Venugopal, VK Agarwal, M Malhotra, JS Chatha, S Kapur, ... Plos one 17 (10), e0271931, 2022 | 10 | 2022 |
Are face detection models biased? S Mittal, K Thakral, P Majumdar, M Vatsa, R Singh 2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023 | 9 | 2023 |
Recognizing injured faces via SCIFI loss P Majumdar, S Chhabra, R Singh, M Vatsa IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (1), 112-123, 2020 | 8 | 2020 |
On detecting domestic abuse via faces P Majumdar, S Chhabra, R Singh, M Vatsa Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 7 | 2018 |
Dual sensor indian masked face dataset S Mishra, P Majumdar, M Dosi, M Vatsa, R Singh 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 6 | 2021 |
Subclass Contrastive Loss for Injured Face Recognition P Majumdar, S Chhabra, R Singh, M Vatsa Proceedings of 10th IEEE International Conference on Biometrics: Theory …, 2019 | 5 | 2019 |
On bias and fairness in deep learning-based facial analysis S Mittal, P Majumdar, M Vatsa, R Singh Handbook of Statistics 48, 169-221, 2023 | 3 | 2023 |
Uniform misclassification loss for unbiased model prediction P Majumdar, M Vatsa, R Singh Pattern Recognition 144, 109689, 2023 | 2 | 2023 |
Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations A Singh, S Chhabra, P Majumdar, R Singh, M Vatsa ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
On learning deep models with imbalanced data distribution P Majumdar, R Singh, M Vatsa Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15720 …, 2021 | 2 | 2021 |