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20162026
most citedPolyp Segmentation in Colonoscopy Images Using Fully Convolutional Network

138 citations · 453 across the 81 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 2 cited

Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination

Farzaneh Koohestani, Nader Karimi, Shadrokh Samavi

In digital imaging, enhancing visual content in poorly lit environments is a significant challenge, as images often suffer from inadequate brightness, hidden details, and an overal…

cs.MM2023★ 1 cited

High-Quality Live Video Streaming via Transcoding Time Prediction and Preset Selection

Zahra Nabizadeh Shahre-Babak, Nader Karimi, Krishna Rapaka +3

Video streaming often requires transcoding content into different resolutions and bitrates to match the recipient's internet speed and screen capabilities. Video encoders like x264…

cs.CV2023

Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions

MohammadHossein Givkashi, MohammadReza Naderi, Nader Karimi +2

Image retargeting aims to alter the size of the image with attention to the contents. One of the main obstacles to training deep learning models for image retargeting is the need f…

eess.IV2023

Lossless Microarray Image Compression by Hardware Array Compactor

Anahita Banaei, Shadrokh Samavi, Ebrahim Nasr Esfahani

Microarray technology is a new and powerful tool for the concurrent monitoring of a large number of gene expressions. Each microarray experiment produces hundreds of images. Each d…

eess.IV2023★ 2 cited

Endoscopy Classification Model Using Swin Transformer and Saliency Map

Zahra Sobhaninia, Nasrin Abharian, Nader Karimi +2

Endoscopy is a valuable tool for the early diagnosis of colon cancer. However, it requires the expertise of endoscopists and is a time-consuming process. In this work, we propose a…

eess.IV2023★ 1 cited

Low Latency Video Denoising for Online Conferencing Using CNN Architectures

Altanai Bisht, Ana Carolina de Souza Mendes, Justin David Thoreson +1

In this paper, we propose a pipeline for real-time video denoising with low runtime cost and high perceptual quality. The vast majority of denoising studies focus on image denoisin…