Research

Research interests

Biometrics, Bayesian Deep Learning, Domain Adaptation, Generative Models, Continual Learning, Attention Models, Medical Image Processing

Publications

1. I. Joshi, M. Grimmer, C. Rathgeb, Christoph Busch, F. Bremond and Antitza Dantcheva. Synthetic Data in Human Analysis: A Survey IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

2. A. Mondal*, I. Joshi*, P. Singh and A. P. Prathosh. Clustering Single-cell RNA Sequence Data using Information Maximized and Noise-Invariant Representations. IEEE Transactions on Computational Biology and Bioinformatics, 2023.

3. P. Majumdar,  A. Karim, I. Joshi, and P. Singh. Leveraging joint incremental learning objective with data ensemble for class incremental learning. Neural Networks, 2023.

4. I. Joshi, T. Dhamija, R. Kumar, A. Dantcheva, S. Dutta Roy and P. K. Kalra. Cross-Domain Consistent Fingerprint Denoising. IEEE Sensors Letters, 2022.

5. I. Joshi, T. Prakash, B. S. Jaiswal, R. Kumar, A. Dantcheva, S. Dutta Roy and P. K. Kalra. Context-aware Restoration of Noisy Fingerprints. IEEE Sensors Letters, 2022.

6. I. Joshi, A. Anand, M. Vatsa, R. Singh, S. Dutta Roy, P. K. Kalra. Latent Fingerprint Enhancement using Generative Adversarial Networks. In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), USA, 2019. [Core 2020- Rank A]

7. I. Joshi, A. Utkarsh, R. Kothari, V. K. Kurmi, A. Dantcheva, S. Dutta Roy and P. K. Kalra. Data Uncertainty Guided Noise-aware Preprocessing of Fingerprints. In Proc. International Joint Conference on Neural Networks (IJCNN), virtual, 2021. [Oral Presentation] [Core 2020- Rank A]

8. I. Joshi, A. Utkarsh, R. Kothari, V. K. Kurmi, A. Dantcheva, S. Dutta Roy and P. K. Kalra. Sensor-invariant Fingerprint ROI Segmentation using Recurrent Adversarial Learning. In Proc. International Joint Conference on Neural Networks (IJCNN), virtual, 2021. [Core 2020- Rank A]

9. I. Joshi, A. Utkarsh, P. Singh, A. Dantcheva, S. Dutta Roy and P. K. Kalra. On Restoration of Degraded Fingerprints. Multimedia Tools and Applications, Springer, 2022. [Impact Factor (2020)- 2.757]

10. I. Joshi, T. Prakash, R. Kumar, A. Dantcheva, S. Dutta Roy and P. K. Kalra. Unsupervised Domain Alignment of Fingerprint Denoising Models. Multimedia Tools and Applications, 2023.

11. I. Joshi, R. Kothari, A. Utkarsh, V. K. Kurmi, A. Dantcheva, S. Dutta Roy and P. K. Kalra. Explainable Fingerprint ROI Segmentation using Monte Carlo Dropout. In Proc. IEEE Winter Conference on Applications of Computer Vision (WACV) Workshop on Explainable & Interpretable Artificial Intelligence For Biometrics, 2021. [Core 2020- Rank A]

12. I. Joshi, S. Kumar, and I. N. Figueiredo. Bag of Visual Words Approach for Bleeding Detection in Wireless Capsule Endoscopy Images. In Proc. International Conference on Image Analysis and Recognition, Portugal, 2016. [Core 2020- Rank C]  

13. I. Joshi, A. Anand, S. Dutta Roy and P. K. Kalra. On Training Generative Adversarial Network for Enhancement of Latent Fingerprints. In AI and Deep Learning in Biometric Security: Trends, Potential and Challenges, CRC Press-Taylor and Francis, 2021.

14. I. Joshi, V. K. Kurmi, A. Utkarsh, R. Kothari, A. Dantcheva, S. Dutta Roy and P. K. Kalra. On Estimating Uncertainty of Fingerprint Enhancement Models. In Digital Image Enhancement and Reconstruction, Elsevier, 2022.

15. R. Roy, I. Joshi, A. Das and A. Dantcheva. 3D CNN Architectures and Attention Mechanisms for Deepfake Detection. In Handbook of Digital Face Manipulation and Detection, Springer, 2022.

16. A. Mondal* and I. Joshi*. Chromosome Cluster Type Identification using Swin Transformer. Special Issue on Computer-Assisted Image Analysis in Biomedicine, MDPI Applied Sciences, 2023.