Indu Joshi

21 papers A 1B 2Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation.
CoRR
Suruchi Kumari, Aryan Das, Swalpa Kumar Roy, Indu Joshi, Pravendra Singh
2024 — conf
Local Distributional Smoothing for Noise-invariant Fingerprint Restoration.
BIOSIG
Indu Joshi, Tashvik Dhamija, Sumantra Dutta Roy, Antitza Dantcheva
2024 J jnl
Synthetic Data in Human Analysis: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Indu Joshi, Marcel Grimmer, Christian Rathgeb, Christoph Busch, François Brémond, Antitza Dantcheva
2024 J jnl
Unsupervised domain alignment of fingerprint denoising models using pseudo annotations.
Multim. Tools Appl.
Indu Joshi, Tushar Prakash, Rohit Kumar, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2023 J jnl
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP
2023 — conf
DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab
2023 J jnl
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks.
CoRR
Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab
2023 J jnl
Leveraging joint incremental learning objective with data ensemble for class incremental learning.
Neural Networks
Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh
2022 — ch.
3D CNN Architectures and Attention Mechanisms for Deepfake Detection.
Handbook of Digital Face Manipulation and Detection
Ritaban Roy, Indu Joshi, Abhijit Das, Antitza Dantcheva
2022 — conf
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data.
MICAD
Mane Margaryan, Matthias Seibold, Indu Joshi, Mazda Farshad, Philipp Fürnstahl, Nassir Navab
2022 J jnl
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data.
CoRR
Mane Margaryan, Matthias Seibold, Indu Joshi, Mazda Farshad, Philipp Fürnstahl, Nassir Navab
2022 J jnl
On restoration of degraded fingerprints.
Multim. Tools Appl.
Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2022 J jnl
Synthetic Data in Human Analysis: A Survey.
CoRR
Indu Joshi, Marcel Grimmer, Christian Rathgeb, Christoph Busch, François Brémond, Antitza Dantcheva
2021 J jnl
DILF-EN framework for Class-Incremental Learning.
CoRR
Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh
2021 B conf
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints.
IJCNN
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021 J jnl
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints.
CoRR
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021 — conf
Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout.
WACV (Workshops)
Indu Joshi, Riya Kothari, Ayush Utkarsh, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021 B conf
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning.
IJCNN
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021 J jnl
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning.
CoRR
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2019 A conf
Latent Fingerprint Enhancement Using Generative Adversarial Networks.
WACV
Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra
2016 — conf
Bag of Visual Words Approach for Bleeding Detection in Wireless Capsule Endoscopy Images.
ICIAR
Indu Joshi, Sunil Kumar, Isabel N. Figueiredo