Scale-invariance is an open problem in many computer vision subfields. F...
Computer vision models for image quality assessment (IQA) predict the
su...
We propose to use a quality estimator and evolutionary methods to search...
Super-resolution aims at increasing the resolution and level of detail w...
Data used to train supervised machine learning models are commonly split...
In Neural Processing Letters 50,3 (2019) a machine learning approach to ...
Multi-level deep-features have been driving state-of-the-art methods for...
Current benchmarks for optical flow algorithms evaluate the estimation e...
The Satisfied User Ratio (SUR) curve for a lossy image compression schem...
Video Quality Assessment (VQA) methods have been designed with a focus o...
Deep learning methods for image quality assessment (IQA) are limited due...
We propose an effective deep learning approach to aesthetics quality
ass...
Current benchmarks for optical flow algorithms evaluate the estimation
q...
The main challenge in applying state-of-the-art deep learning methods to...