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ORCIDIndu Joshi
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2020 – today
- 2024
[j5]Indu Joshi
, Tushar Prakash, Rohit Kumar, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Unsupervised domain alignment of fingerprint denoising models using pseudo annotations. Multim. Tools Appl. 83(13): 38167-38192 (2024)- [j4]Indu Joshi, Marcel Grimmer, Christian Rathgeb, Christoph Busch, François Brémond, Antitza Dantcheva:
Synthetic Data in Human Analysis: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4957-4976 (2024) - [i7]Suruchi Kumari, Aryan Das, Swalpa Kumar Roy, Indu Joshi, Pravendra Singh:
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation. CoRR abs/2407.05088 (2024) - 2023
- [j3]Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh:
Leveraging joint incremental learning objective with data ensemble for class incremental learning. Neural Networks 161: 202-212 (2023) - [j2]Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP:
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1983-1994 (2023) - [c6]Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab:
DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 297-310 - [i6]Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab:
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks. CoRR abs/2308.07387 (2023) - 2022
- [j1]Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
On restoration of degraded fingerprints. Multim. Tools Appl. 81(24): 35349-35377 (2022) - [p1]Ritaban Roy, Indu Joshi, Abhijit Das, Antitza Dantcheva:
3D CNN Architectures and Attention Mechanisms for Deepfake Detection. Handbook of Digital Face Manipulation and Detection 2022: 213-234 - [i5]Indu Joshi, Marcel Grimmer, Christian Rathgeb, Christoph Busch, François Brémond, Antitza Dantcheva:
Synthetic Data in Human Analysis: A Survey. CoRR abs/2208.09191 (2022) - [i4]Mane Margaryan, Matthias Seibold, Indu Joshi, Mazda Farshad, Philipp Fürnstahl, Nassir Navab:
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data. CoRR abs/2211.02874 (2022) - 2021
- [c5]Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. IJCNN 2021: 1-8 - [c4]Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. IJCNN 2021: 1-8 - [c3]Indu Joshi, Riya Kothari, Ayush Utkarsh, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout. WACV (Workshops) 2021: 60-69 - [i3]Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. CoRR abs/2107.01248 (2021) - [i2]Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. CoRR abs/2107.01361 (2021) - [i1]Mohammed Asad Karim, Indu Joshi, Pratik Mazumder, Pravendra Singh:
DILF-EN framework for Class-Incremental Learning. CoRR abs/2112.12385 (2021)
2010 – 2019
- 2019
- [c2]Indu Joshi, Adithya Anand, Mayank Vatsa, Richa Singh, Sumantra Dutta Roy, Prem Kalra:
Latent Fingerprint Enhancement Using Generative Adversarial Networks. WACV 2019: 895-903 - 2016
- [c1]Indu Joshi, Sunil Kumar, Isabel N. Figueiredo:
Bag of Visual Words Approach for Bleeding Detection in Wireless Capsule Endoscopy Images. ICIAR 2016: 575-582
Coauthor Index
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