Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Samavi, Shadrokh"'
Over the past two decades, the surge in video streaming applications has been fueled by the increasing accessibility of the internet and the growing demand for network video. As users with varying internet speeds and devices seek high-quality video,
Externí odkaz:
http://arxiv.org/abs/2404.09029
Accurate and early detection of breast cancer is essential for successful treatment. This paper introduces a novel deep-learning approach for improved breast cancer classification in histopathological images, a crucial step in diagnosis. Our method h
Externí odkaz:
http://arxiv.org/abs/2403.11135
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 overall reduction in quality. This issue is especially critical in applicati
Externí odkaz:
http://arxiv.org/abs/2312.15199
Autor:
Shahre-Babak, Zahra Nabizadeh, Karimi, Nader, Rapaka, Krishna, Amara, Tarek, Samavi, Shadrokh, Shirani, Shahram
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 offer various presets, each with different tradeoffs between transcod
Externí odkaz:
http://arxiv.org/abs/2312.05348
Autor:
Givkashi, MohammadHossein, Naderi, MohammadReza, Karimi, Nader, Shirani, Shahram, Samavi, Shadrokh
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 for a vast labeled dataset. Labeled datasets are unavailable for traini
Externí odkaz:
http://arxiv.org/abs/2306.07383
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 digital image requires a large storage space. Hence, real-time processi
Externí odkaz:
http://arxiv.org/abs/2303.10489
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 new multi-label classification method, which considers two aspects of
Externí odkaz:
http://arxiv.org/abs/2303.06736
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 denoising. However, a minority of research works focusing on video denoising d
Externí odkaz:
http://arxiv.org/abs/2302.08638
Autor:
Naderi, MohammadReza, Givkashi, MohammadHossein, Karimi, Nader, Shirani, Shahram, Samavi, Shadrokh
Image inpainting consists of filling holes or missing parts of an image. Inpainting face images with symmetric characteristics is more challenging than inpainting a natural scene. None of the powerful existing models can fill out the missing parts of
Externí odkaz:
http://arxiv.org/abs/2301.03130
Autor:
PariZanganeh, Arezoo, Ghorbanzadeh, Ghazaleh, ShahreBabak, Zahra Nabizadeh, Karimi, Nader, Samavi, Shadrokh
With the growth of editing and sharing images through the internet, the importance of protecting the images' authorship has increased. Robust watermarking is a known approach to maintaining copyright protection. Robustness and imperceptibility are tw
Externí odkaz:
http://arxiv.org/abs/2212.12864