3 citations · 6 across the 9 of their papers we have counts for
4 papers · 1 filter
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
H M Dipu Kabir, Subrota Kumar Mondal, Mohammad Ali Moni
This paper proposes batch augmentation with unimodal fine-tuning to detect the fetus's organs from ultrasound images and associated clinical textual information. We also prescribe…
KDC-Diff: A Latent-Aware Diffusion Model with Knowledge Retention for Memory-Efficient Image Generation
Md. Naimur Asif Borno, Md Sakib Hossain Shovon, Asmaa Soliman Al-Moisheer +1
The growing adoption of generative AI in real-world applications has exposed a critical bottleneck in the computational demands of diffusion-based text-to-image models. In this wor…
Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis
Md. Naimur Asif Borno, Md Sakib Hossain Shovon, MD Hanif Sikder +3
Accurate and privacy-preserving diagnosis of ophthalmic diseases remains a critical challenge in medical imaging, particularly given the limitations of existing deep learning model…
MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting
Nafiz Al Asad, Md. Appel Mahmud Pranto, Shbiruzzaman Shiam +4
Image inpainting is a widely used technique in computer vision for reconstructing missing or damaged pixels in images. Recent advancements with Generative Adversarial Networks (GAN…