Image Quality Assessment (IQA) constitutes a fundamental task within the...
In this paper, we propose a novel layer-adaptive weight-pruning approach...
Image Quality Assessment (IQA) is a fundamental task in computer vision ...
Regression-based blind image quality assessment (IQA) models are suscept...
Digital humans have witnessed extensive applications in various domains,...
Nowadays, most 3D model quality assessment (3DQA) methods have been aime...
With the rapid advancements of the text-to-image generative model,
AI-ge...
The proliferation of in-the-wild videos has greatly expanded the Video
Q...
Multi-view clustering can partition data samples into their categories b...
The proliferation of videos collected during in-the-wild natural setting...
Blind image quality assessment (BIQA) aims at automatically and accurate...
Recently, with the development of deep learning, a number of Just Notice...
A popular track of network compression approach is Quantization aware
Tr...
Recent learning-based video quality assessment (VQA) algorithms are expe...
Recently, learned image compression schemes have achieved remarkable
imp...
Simulating the effects of skincare products on face is a potential new w...
Recently, relying on convolutional neural networks (CNNs), many methods ...
We propose IntegratedPIFu, a new pixel aligned implicit model that build...
The rapid increase in user-generated-content (UGC) videos calls for the
...
Point cloud registration is a popular topic which has been widely used i...
The increased resolution of real-world videos presents a dilemma between...
Objective quality assessment of 3D point clouds is essential for the
dev...
Significant improvement has been made on just noticeable difference (JND...
With the rapid growth of in-the-wild videos taken by non-specialists, bl...
Current deep video quality assessment (VQA) methods are usually with hig...
The temporal relationships between frames and their influences on video
...
Deep learning models are found to be vulnerable to adversarial examples,...
In this work, we point out that the major dilemma of image aesthetics
as...
The global and local contexts significantly contribute to the integrity ...
Automatic assessment and understanding of facial skin condition have sev...
Salient object detection (SOD) in optical remote sensing images (RSIs), ...
Just Noticeable Difference (JND) has many applications in multimedia sig...
Salient object detection in optical remote sensing images (ORSI-SOD) has...
Recently, various view synthesis distortion estimation models have been
...
With the AI of Things (AIoT) development, a huge amount of visual data, ...
In the computer vision community, great progresses have been achieved in...
Existing efforts on Just noticeable difference (JND) estimation mainly
d...
As a prevailing task in video surveillance and forensics field, person
r...
Malicious application of deepfakes (i.e., technologies can generate targ...
Mesh reconstruction from a 3D point cloud is an important topic in the f...
As it is said by Van Gogh, great things are done by a series of small th...
As an important perceptual characteristic of the Human Visual System (HV...
This paper presents an overview of the emerging area of collaborative
in...
We present a simple yet effective progressive self-guided loss function ...
Diabetic retinopathy (DR) is a leading cause of vision loss in the world...
Image denoising techniques have been widely employed in multimedia devic...
Existing CNN-based methods for pixel labeling heavily depend on multi-sc...
Image-based localization (IBL) aims to estimate the 6DOF camera pose for...
In this paper we investigate into the problem of image quality assessmen...
Recently, with the advent of deep convolutional neural networks (DCNN), ...