Indu Joshi

According to our database, Indu Joshi authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised domain alignment of fingerprint denoising models using pseudo annotations.

Indu Joshi, Tushar Prakash, Rohit Kumar, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra

Multim. Tools Appl., April, 2024

Synthetic Data in Human Analysis: A Survey.

Indu Joshi, Marcel Grimmer, Christian Rathgeb, Christoph Busch, François Brémond, Antitza Dantcheva

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation.

Suruchi Kumari, Aryan Das, Swalpa Kumar Roy, Indu Joshi, Pravendra Singh

CoRR, 2024

2023

Leveraging joint incremental learning objective with data ensemble for class incremental learning.

Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh

Neural Networks, April, 2023

Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations.

Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks.

Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

On restoration of degraded fingerprints.

Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra

Multim. Tools Appl., 2022

Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data.

Mane Margaryan, Matthias Seibold, Indu Joshi, Mazda Farshad, Philipp Fürnstahl, Nassir Navab

CoRR, 2022

3D CNN Architectures and Attention Mechanisms for Deepfake Detection.

Ritaban Roy, Indu Joshi, Abhijit Das, Antitza Dantcheva

Proceedings of the Handbook of Digital Face Manipulation and Detection, 2022

2021

DILF-EN framework for Class-Incremental Learning.

Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh

CoRR, 2021

Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout.

Indu Joshi, Riya Kothari, Ayush Utkarsh, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra

Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning.

Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra

Proceedings of the International Joint Conference on Neural Networks, 2021

Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints.

Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Latent Fingerprint Enhancement Using Generative Adversarial Networks.

Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2016

Bag of Visual Words Approach for Bleeding Detection in Wireless Capsule Endoscopy Images.

Indu Joshi, Sunil Kumar, Isabel N. Figueiredo

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016