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06/13/2023
Localization of Just Noticeable Difference for Image Compression
The just noticeable difference (JND) is the minimal difference between s...
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04/29/2023
Relaxed forced choice improves performance of visual quality assessment methods
In image quality assessment, a collective visual quality score for an im...
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12/12/2022
KonX: Cross-Resolution Image Quality Assessment
Scale-invariance is an open problem in many computer vision subfields. F...
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07/11/2022
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model
Computer vision models for image quality assessment (IQA) predict the su...
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10/07/2021
TranSalNet: Towards perceptually relevant visual saliency prediction
Convolutional neural networks (CNNs) have significantly advanced computa...
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07/31/2021
Subjective Image Quality Assessment with Boosted Triplet Comparisons
In subjective full-reference image quality assessment, differences betwe...
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09/10/2020
Critical analysis on the reproducibility of visual quality assessment using deep features
Data used to train supervised machine learning models are commonly split...
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05/09/2020
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features"
In Neural Processing Letters 50,3 (2019) a machine learning approach to ...
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01/20/2020
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
Multi-level deep-features have been driving state-of-the-art methods for...
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01/10/2020
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification
Current benchmarks for optical flow algorithms evaluate the estimation e...
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01/07/2020
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning
The Satisfied User Ratio (SUR) curve for a lossy image compression schem...
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12/17/2019
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features
Video Quality Assessment (VQA) methods have been designed with a focus o...
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10/14/2019
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Deep learning methods for image quality assessment (IQA) are limited due...
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08/19/2019
Algorithm Selection for Image Quality Assessment
Subjective perceptual image quality can be assessed in lab studies by hu...
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04/02/2019
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
We propose an effective deep learning approach to aesthetics quality ass...
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01/16/2019
Technical Report on Visual Quality Assessment for Frame Interpolation
Current benchmarks for optical flow algorithms evaluate the estimation q...
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03/22/2018
KonIQ-10k: Towards an ecologically valid and large-scale IQA database
The main challenge in applying state-of-the-art deep learning methods to...
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02/08/2010
