most citedRetinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet

3 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2023★ 1 cited

Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation

Alnur Alimanov, Md Baharul Islam

Experts use retinal images and vessel trees to detect and diagnose various eye, blood circulation, and brain-related diseases. However, manual segmentation of retinal images is a t…

cs.CV2023

Saliency-aware Stereoscopic Video Retargeting

Hassan Imani, Md Baharul Islam, Lai-Kuan Wong

Stereo video retargeting aims to resize an image to a desired aspect ratio. The quality of retargeted videos can be significantly impacted by the stereo videos spatial, temporal, a…

eess.IV2023

Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial Network

Alnur Alimanov, Md Baharul Islam

Medical imaging plays a significant role in detecting and treating various diseases. However, these images often happen to be of too poor quality, leading to decreased efficiency,…

eess.IV2022★ 3 cited

Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet

Alnur Alimanov, Md Baharul Islam

Clinical screening with low-quality fundus images is challenging and significantly leads to misdiagnosis. This paper addresses the issue of improving the retinal image quality and…

cs.CV2022★ 2 cited

HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting

Md Imran Hosen, Md Baharul Islam

To recognize the masked face, one of the possible solutions could be to restore the occluded part of the face first and then apply the face recognition method. Inspired by the rece…

cs.CV2022★ 1 cited

Masked Face Inpainting Through Residual Attention UNet

Md Imran Hosen, Md Baharul Islam

Realistic image restoration with high texture areas such as removing face masks is challenging. The state-of-the-art deep learning-based methods fail to guarantee high-fidelity, ca…

cs.CV2022

A New Dataset and Transformer for Stereoscopic Video Super-Resolution

Hassan Imani, Md Baharul Islam, Lai-Kuan Wong

Stereo video super-resolution (SVSR) aims to enhance the spatial resolution of the low-resolution video by reconstructing the high-resolution video. The key challenges in SVSR are…

cs.CV2022★ 1 cited

HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model

Masum Shah Junayed, Arezoo Sadeghzadeh, Md Baharul Islam +2

Monocular omnidirectional depth estimation is receiving considerable research attention due to its broad applications for sensing 360° surroundings. Existing approaches in this fie…