| 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 | 75 | 2022 |
| DF-Platter: Multi-Face Heterogeneous Deepfake Dataset K Narayan, H Agarwal, K Thakral, S Mittal, M Vatsa, R Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 56 | 2023 |
| 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 | 33 | 2022 |
| DeePhy: On Deepfake Phylogeny K Narayan, H Agarwal, K Thakral, S Mittal, M Vatsa, R Singh 2022 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2022 | 25 | 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 | 25 | 2021 |
| DeSI: Deepfake Source Identifier for Social Media K Narayan, H Agarwal, S Mittal, K Thakral, S Kundu, M Vatsa, R Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare S Mittal, K Thakral, R Singh, M Vatsa, T Glaser, C Canton Ferrer, ... Nature Machine Intelligence 6 (8), 936-949, 2024 | 13* | 2024 |
| 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 | 11 | 2023 |
| 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 |
| Low-quality deepfake detection via unseen artifacts S Chhabra, K Thakral, S Mittal, M Vatsa, R Singh IEEE Transactions on Artificial Intelligence 5 (4), 1573-1585, 2023 | 9 | 2023 |
| On bias and fairness in deep learning-based facial analysis S Mittal, P Majumdar, M Vatsa, R Singh Elsevier, 2023 | 5 | 2023 |
| AECNet: Attentive EfficientNet For Crowd Counting M Dosi, K Thakral, S Mittal, M Vatsa, R Singh 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 5 | 2021 |
| PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning K Thakral, S Mittal, M Vatsa, R Singh 2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023 | 3 | 2023 |
| Navigating text-to-image generative bias across indic languages S Mittal, A Sudan, M Vatsa, R Singh, T Glaser, T Hassner European Conference on Computer Vision, 53-67, 2024 | 2 | 2024 |
| DeePhyNet: Towards Detecting Phylogeny in Deepfakes K Thakral, H Agarwal, K Naraya, S Mittal, M Vatsa, R Singh IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024 | 1 | 2024 |
| Self-Supervised Continual Learning K Thakral, S Mittal, U Uppal, B Giddwani, M Vatsa, R Singh | 1 | 2023 |
| From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models M Vatsa, A Bharati, S Mittal, R Singh arXiv preprint arXiv:2502.09645, 2025 | | 2025 |
Mayank VatsaProfessor, IIT Jodhpurبريد إلكتروني تم التحقق منه على iitj.ac.in
