434 citations · 1.6k across the 63 of their papers we have counts for
19 papers · 1 filter
Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution
Yixuan Wu, Feng Li, Huihui Bai +3
Convolutional Neural Network (CNN)-based image super-resolution (SR) has exhibited impressive success on known degraded low-resolution (LR) images. However, this type of approach i…
Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
Feng Li, Yixuan Wu, Huihui Bai +3
Existing convolutional neural networks (CNN) based image super-resolution (SR) methods have achieved impressive performance on bicubic kernel, which is not valid to handle unknown…
KSS-ICP: Point Cloud Registration based on Kendall Shape Space
Chenlei Lv, Weisi Lin, Baoquan Zhao
Point cloud registration is a popular topic which has been widely used in 3D model reconstruction, location, and retrieval. In this paper, we propose a new registration method, KSS…
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao +1
We propose IntegratedPIFu, a new pixel aligned implicit model that builds on the foundation set by PIFuHD. IntegratedPIFu shows how depth and human parsing information can be predi…
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
Haoning Wu, Erli Zhang, Liang Liao +6
The rapid increase in user-generated-content (UGC) videos calls for the development of effective video quality assessment (VQA) algorithms. However, the objective of the UGC-VQA pr…
Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
Haoning Wu, Chaofeng Chen, Liang Liao +5
The increased resolution of real-world videos presents a dilemma between efficiency and accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original reso…
Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling
Wei Zhou, Qi Yang, Qiuping Jiang +2
Objective quality assessment of 3D point clouds is essential for the development of immersive multimedia systems in real-world applications. Despite the success of perceptual quali…
HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation
Jian Jin, Yuan Xue, Xingxing Zhang +3
Significant improvement has been made on just noticeable difference (JND) modelling due to the development of deep neural networks, especially for the recently developed unsupervis…
Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment
Liang Liao, Kangmin Xu, Haoning Wu +4
With the rapid growth of in-the-wild videos taken by non-specialists, blind video quality assessment (VQA) has become a challenging and demanding problem. Although lots of efforts…
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
Haoning Wu, Chaofeng Chen, Jingwen Hou +5
Current deep video quality assessment (VQA) methods are usually with high computational costs when evaluating high-resolution videos. This cost hinders them from learning better vi…
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment
Haoning Wu, Chaofeng Chen, Liang Liao +4
The temporal relationships between frames and their influences on video quality assessment (VQA) are still under-studied in existing works. These relationships lead to two importan…
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation
Wen Sun, Jian Jin, Weisi Lin
Deep learning models are found to be vulnerable to adversarial examples, as wrong predictions can be caused by small perturbation in input for deep learning models. Most of the exi…
Distilling Knowledge from Object Classification to Aesthetics Assessment
Jingwen Hou, Henghui Ding, Weisi Lin +2
In this work, we point out that the major dilemma of image aesthetics assessment (IAA) comes from the abstract nature of aesthetic labels. That is, a vast variety of distinct conte…
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
Yi Ke Yun, Weisi Lin
The global and local contexts significantly contribute to the integrity of predictions in Salient Object Detection (SOD). Unfortunately, existing methods still struggle to generate…
Automatic Facial Skin Feature Detection for Everyone
Qian Zheng, Ankur Purwar, Heng Zhao +11
Automatic assessment and understanding of facial skin condition have several applications, including the early detection of underlying health problems, lifestyle and dietary treatm…
Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images
Gongyang Li, Zhi Liu, Dan Zeng +2
Salient object detection (SOD) in optical remote sensing images (RSIs), or RSI-SOD, is an emerging topic in understanding optical RSIs. However, due to the difference between optic…
Full RGB Just Noticeable Difference (JND) Modelling
Jian Jin, Dong Yu, Weisi Lin +3
Just Noticeable Difference (JND) has many applications in multimedia signal processing, especially for visual data processing up to date. It's generally defined as the minimum visu…
Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation
Gongyang Li, Zhi Liu, Zhen Bai +2
Salient object detection in optical remote sensing images (ORSI-SOD) has been widely explored for understanding ORSIs. However, previous methods focus mainly on improving the detec…
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding
Jian Jin, Xingxing Zhang, Lili Meng +4
Recently, various view synthesis distortion estimation models have been studied to better serve for 3-D video coding. However, they can hardly model the relationship quantitatively…