research
∙
07/26/2023
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
Blind video quality assessment (BVQA) plays an indispensable role in mon...
share
research
∙
05/04/2023
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization
Predicting human scanpaths when exploring panoramic videos is a challeng...
research
∙
04/27/2023
IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers
Scalable Vector Graphics (SVG) is a popular vector image format that off...
research
∙
03/27/2023
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
Natural videos captured by consumer cameras often suffer from low framer...
research
∙
03/27/2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
We aim at advancing blind image quality assessment (BIQA), which predict...
research
∙
03/27/2023
Learning a Deep Color Difference Metric for Photographic Images
Most well-established and widely used color difference (CD) metrics are ...
research
∙
10/05/2022
Hiding Images in Deep Probabilistic Models
Data hiding with deep neural networks (DNNs) has experienced impressive ...
research
∙
10/03/2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
No-reference image quality assessment (NR-IQA) aims to quantify how huma...
research
∙
07/29/2022
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Learning-based image quality assessment (IQA) has made remarkable progre...
research
∙
06/18/2022
Perceptual Optimization of a Biologically-Inspired Tone Mapping Operator
With the increasing popularity and accessibility of high dynamic range (...
research
∙
05/26/2022
Measuring Perceptual Color Differences of Smartphone Photography
Measuring perceptual color differences (CDs) is of great importance in m...
research
∙
01/20/2022
Steerable Pyramid Transform Enables Robust Left Ventricle Quantification
Although multifarious variants of convolutional neural networks (CNNs) h...
research
∙
12/25/2021
Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression
Although equirectangular projection (ERP) is a convenient form to store ...
research
∙
10/19/2021
Image Quality Assessment in the Modern Age
This tutorial provides the audience with the basic theories, methodologi...
research
∙
10/16/2021
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment
The latest advances in full-reference image quality assessment (IQA) inv...
research
∙
09/01/2021
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping
We describe a deep high-dynamic-range (HDR) image tone mapping operator ...
research
∙
07/28/2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
The computational vision community has recently paid attention to contin...
research
∙
06/26/2021
Semi-Supervised Deep Ensembles for Blind Image Quality Assessment
Ensemble methods are generally regarded to be better than a single model...
research
∙
05/14/2021
Troubleshooting Blind Image Quality Models in the Wild
Recently, the group maximum differentiation competition (gMAD) has been ...
research
∙
02/27/2021
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Semantic segmentation is an extensively studied task in computer vision,...
research
∙
02/19/2021
Continual Learning for Blind Image Quality Assessment
The explosive growth of image data facilitates the fast development of i...
research
∙
05/28/2020
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
Performance of blind image quality assessment (BIQA) models has been sig...
research
∙
05/21/2020
Omnidirectional Images as Moving Camera Videos
Omnidirectional images (also referred to as static 360 panoramas) impose...
research
∙
05/04/2020
Comparison of Image Quality Models for Optimization of Image Processing Systems
The performance of objective image quality assessment (IQA) models has b...
research
∙
05/04/2020
A Comparative Study of Image Quality Assessment Models through Perceptual Optimization
The performance of objective image quality assessment (IQA) models has b...
research
∙
04/16/2020
Image Quality Assessment: Unifying Structure and Texture Similarity
Objective measures of image quality generally operate by making local co...
research
∙
03/08/2020
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment
The research in image quality assessment (IQA) has a long history, and s...
research
∙
02/25/2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
The learning of hierarchical representations for image classification ha...
research
∙
12/15/2019
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach
Rate-distortion (RD) theory is at the heart of lossy data compression. H...
research
∙
07/05/2019
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
We propose a deep bilinear model for blind image quality assessment (BIQ...
research
∙
07/03/2019
Intrinsic Image Popularity Assessment
The goal of research in image popularity assessment (IPA) is to develop ...
research
∙
07/01/2019
Learning to Blindly Assess Image Quality in the Laboratory and Wild
Previous models for blind image quality assessment (BIQA) can only be tr...
research
∙
06/24/2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
It has long been understood that precisely estimating the probabilistic ...
research
∙
04/13/2019
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs
Objective assessment of image quality is fundamentally important in many...
research
∙
12/05/2016