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20152026
most citedTemporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis

249 citations · 1.5k across the 70 of their papers we have counts for

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7 papers · 1 filter

eess.IV2026

CASR: Content-Adaptive Neural Super-Resolution Post-Filter for Versatile Video Coding via Low-Rank Overfitting

Khoa Pham-Dinh, Francesco Cricri, Maria Santamaria +5

The use of super-resolution as a post-processing step following a video codec allows videos to be encoded at reduced spatial resolution at the encoder side and to be reconstructed…

eess.IV2021

Robust channel-wise illumination estimation

Firas Laakom, Jenni Raitoharju, Jarno Nikkanen +2

Recently, Convolutional Neural Networks (CNNs) have been widely used to solve the illuminant estimation problem and have often led to state-of-the-art results. Standard approaches…

eess.IV2021★ 51 cited

Early Myocardial Infarction Detection over Multi-view Echocardiography

Aysen Degerli, Serkan Kiranyaz, Tahir Hamid +2

Myocardial infarction (MI) is the leading cause of mortality in the world that occurs due to a blockage of the coronary arteries feeding the myocardium. An early diagnosis of MI an…

eess.IV2021

Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs

Ozer Can Devecioglu, Junaid Malik, Turker Ince +3

Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any symptoms as it progr…

eess.IV2020★ 116 cited

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images

Aysen Degerli, Mete Ahishali, Mehmet Yamac +6

Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numer…

eess.IV2020★ 6 cited

Operational vs Convolutional Neural Networks for Image Denoising

Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj

Convolutional Neural Networks (CNNs) have recently become a favored technique for image denoising due to its adaptive learning ability, especially with a deep configuration. Howeve…

eess.IV2019

INTEL-TAU: A Color Constancy Dataset

Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis +2

In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high…