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09/19/2023
Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images
Whole Slide Images (WSIs) present a challenging computer vision task due...
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09/13/2023
Automated segmentation of rheumatoid arthritis immunohistochemistry stained synovial tissue
Rheumatoid Arthritis (RA) is a chronic, autoimmune disease which primari...
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03/07/2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey
2D image understanding is a complex problem within Computer Vision, but ...
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09/23/2022
Vector Quantized Semantic Communication System
Although analog semantic communication systems have received considerabl...
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01/07/2022
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
High dynamic range (HDR) imaging is of fundamental importance in modern ...
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11/24/2020
Learning to Sample the Most Useful Training Patches from Images
Some image restoration tasks like demosaicing require difficult training...
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11/03/2020
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs
Moire artifacts are common in digital photography, resulting from the in...
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10/10/2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing
Recurrent models are becoming a popular choice for video enhancement tas...
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07/21/2020
Video Super-resolution with Temporal Group Attention
Video super-resolution, which aims at producing a high-resolution video ...
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07/14/2020
Wavelet-Based Dual-Branch Network for Image Demoireing
When smartphone cameras are used to take photos of digital screens, usua...
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05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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05/06/2020
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
This paper reviews the Challenge on Image Demoireing that was part of th...
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04/01/2020
Image Demoireing with Learnable Bandpass Filters
Image demoireing is a multi-faceted image restoration task involving bot...
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03/31/2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement
Digital artists often improve the aesthetic quality of digital photograp...
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03/30/2020
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem
This work investigates the task of unsupervised model personalization, a...
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02/28/2020
A Multi-Hypothesis Classification Approach to Color Constancy
Contemporary approaches frame the color constancy problem as learning ca...
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02/28/2020
A Multi-Hypothesis Approach to Color Constancy
Contemporary approaches frame the color constancy problem as learning ca...
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02/11/2020
Reconstructing the Noise Manifold for Image Denoising
Deep Convolutional Neural Networks (DCNNs) have been successfully used i...
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11/29/2019
DIFAR: Deep Image Formation and Retouching
We present a novel neural network architecture for the image signal proc...
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11/24/2019
Pixel Adaptive Filtering Units
State-of-the-art methods for computer vision rely heavily on the transla...
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11/08/2019
AIM 2019 Challenge on Image Demoireing: Methods and Results
This paper reviews the first-ever image demoireing challenge that was pa...
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11/06/2019
AIM 2019 Challenge on Image Demoireing: Dataset and Study
This paper introduces a novel dataset, called LCDMoire, which was create...
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09/29/2019
SteReFo: Efficient Image Refocusing with Stereo Vision
Whether to attract viewer attention to a particular object, give the imp...
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09/18/2019
Continual learning: A comparative study on how to defy forgetting in classification tasks
Artificial neural networks thrive in solving the classification problem ...
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09/11/2019
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
Denoising extreme low light images is a challenging task due to the high...
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11/28/2018
Meta-Learning for Few-shot Camera-Adaptive Color Constancy
Digital camera pipelines employ color constancy methods to estimate an u...
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08/23/2018