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Y. L. Chan - IEEE Xplore Author Profile
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Y. L. Chan

Also published under: Yui-Lam Chan

Publications
78
Citations
884
Publications by Year
20072025
Co-Authors:
Show All Co-Authors (79)
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Y. L. Chan

Also published under: Yui-Lam Chan

Affiliation

Department of Electrical and Electronic Engineering, Hong Kong Polytechnic University, China

Publication Topics

Biography

Yui-Lam Chan (S’94–A’97–M’00) received the B.Eng. (Hons.) and Ph.D. degrees from The Hong Kong Polytechnic University, Hong Kong, in 1993 and 1997, respectively.,He joined The Hong Kong Polytechnic University, in 1997, where he is currently an Associate Professor with the Department of Electronic and Information Engineering. He is actively involved in professional activities. He has authored over 130 research articles in various international journals and conferences. His current research interests include multimedia technologies, signal processing, image and video compression, video streaming, video transcoding, video conferencing, digital TV/HDTV, 3DTV/3DV, multiview video coding, machine learning for video coding and future video coding ...
Publications
78
Citations
884
Publications by Year
20072025
Co-Authors:
Show All Co-Authors (79)
Author's Published Works

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High-dimensional radio frequency fingerprint synthesis for indoor positioning

Zhongyuan Lyu;Tom T.L. Chan;Gary C.M. Leung;Y.L. Chan;Daniel P.K. Lun;Michael G. Pecht

IEEE Transactions on Instrumentation and Measurement
Year: 2025 | Early Access Article |
Fingerprint-based indoor positioning systems are being explored to aid in location-based services due to their robustness in non-line-of-sight conditions. Current systems utilize high-dimensional radio frequency (HDRF) fingerprints, such as Wi-Fi channel state information, to achieve higher positioning precision. Since data acquisition is labor-intensive, researchers proposed to enrich the dataset...Show More

High-dimensional radio frequency fingerprint synthesis for indoor positioning

Zhongyuan Lyu;Tom T.L. Chan;Gary C.M. Leung;Y.L. Chan;Daniel P.K. Lun;Michael G. Pecht

Year: 2025 | Early Access Article |

Long Short-term Fusion by Multi-scale Distillation for Screen Content Video Quality Enhancement

Ziyin Huang;Yui-Lam Chan;Ngai-Wing Kwong;Sik-Ho Tsang;Kin-Man Lam;Wing-Kuen Ling

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2025 | Early Access Article |
Different from natural videos, where artifacts distributed evenly, the artifacts of compressed screen content videos mainly occur in the edge areas. Besides, these videos often exhibit abrupt scene switches, resulting in noticeable distortions in video reconstruction. Existing multiple-frame models using a fixed range of neighbor frames face challenges in effectively enhancing frames during scene ...Show More

Long Short-term Fusion by Multi-scale Distillation for Screen Content Video Quality Enhancement

Ziyin Huang;Yui-Lam Chan;Ngai-Wing Kwong;Sik-Ho Tsang;Kin-Man Lam;Wing-Kuen Ling

Year: 2025 | Early Access Article |

Frame Similarity-Based Screen Content Video Quality Enhancement via Adaptive Long Short-Term Fusion

Ziyin Huang;Yui-Lam Chan;Ngai-Wing Kwong;Sik-Ho Tsang;Kin-Man Lam;Wing-Kuen Ling

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)
Year: 2024 | Conference Paper |
Compressed screen content videos often exhibit artifacts in edge areas and suffer from distortions during scene switches, where content abruptly changes between frames. Existing multi-frame models, which use a fixed range of neighbor frames, struggle with these switches. To address this, we propose a novel method that effectively handles scene switches. Our approach utilizes Long-term Feature Extr...Show More

Frame Similarity-Based Screen Content Video Quality Enhancement via Adaptive Long Short-Term Fusion

Ziyin Huang;Yui-Lam Chan;Ngai-Wing Kwong;Sik-Ho Tsang;Kin-Man Lam;Wing-Kuen Ling

Year: 2024 | Conference Paper |

Deep Learning Approach for No-Reference Screen Content Video Quality Assessment

Ngai-Wing Kwong;Yui-Lam Chan;Sik-Ho Tsang;Ziyin Huang;Kin-Man Lam

IEEE Transactions on Broadcasting
Year: 2024 | Volume: 70, Issue: 2 | Journal Article |
Cited by: Papers (3)
Screen content video (SCV) has drawn much more attention than ever during the COVID-19 period and has evolved from a niche to a mainstream due to the recent proliferation of remote offices, online meetings, shared-screen collaboration, and gaming live streaming. Therefore, quality assessments for screen content media are highly demanded to maintain service quality recently. Although many practical...Show More

Deep Learning Approach for No-Reference Screen Content Video Quality Assessment

Ngai-Wing Kwong;Yui-Lam Chan;Sik-Ho Tsang;Ziyin Huang;Kin-Man Lam

Year: 2024 | Volume: 70, Issue: 2 | Journal Article |

Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images

Cong Zhang;Kin-Man Lam;Tianshan Liu;Yui-Lam Chan;Qi Wang

IEEE Transactions on Geoscience and Remote Sensing
Year: 2024 | Volume: 62 | Journal Article |
Cited by: Papers (15)
Object detection plays a crucial role in scene understanding and has extensive practical applications. In the field of remote sensing object detection, both detection accuracy and robustness are of significant concern. Existing methods heavily rely on sophisticated adversarial training strategies that tend to improve robustness at the expense of accuracy. However, detection robustness is not alway...Show More

Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images

Cong Zhang;Kin-Man Lam;Tianshan Liu;Yui-Lam Chan;Qi Wang

Year: 2024 | Volume: 62 | Journal Article |

Optimized Quality Feature Learning for Video Quality Assessment

Ngai-Wing Kwong;Yui-Lam Chan;Sik-Ho Tsang;Daniel Pak-Kong Lun

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
Recently, some transfer learning-based methods have been adopted in video quality assessment (VQA) to compensate for the lack of enormous training samples and human annotation labels. But these methods induce a domain gap between source and target domains, resulting in a sub-optimal feature representation that deteriorates the accuracy. This paper proposes the optimized quality feature learning vi...Show More

Optimized Quality Feature Learning for Video Quality Assessment

Ngai-Wing Kwong;Yui-Lam Chan;Sik-Ho Tsang;Daniel Pak-Kong Lun

Year: 2023 | Conference Paper |

Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment

Ngai-Wing Kwong;Yui-Lam Chan;Sik-Ho Tsang;Daniel Pak-Kong Lun

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (5)
Nowadays, video quality assessment (VQA) plays a vital role in video-related industries to predict human perceived video quality to maintain the quality of service. Although many deep neural network-based VQA methods have been proposed, the robustness and performance are limited by small scale of available human-label data. Recently, some transfer learning-based methods and pre-trained models in o...Show More

Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment

Ngai-Wing Kwong;Yui-Lam Chan;Sik-Ho Tsang;Daniel Pak-Kong Lun

Year: 2023 | Volume: 11 | Journal Article |

Mode Information Guided CNN for Quality Enhancement of Screen Content Coding

Ziyin Huang;Yui-Lam Chan;Sik-Ho Tsang;Kin-Man Lam

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (4)
Video quality enhancement methods are of great significance in reducing the artifacts of decoded videos in the High Efficiency Video Coding (HEVC). However, existing methods mainly focus on improving the quality of natural sequences, not for screen content sequences that have drawn more attention than ever due to the demands of remote desktops and online meetings. Different from the natural sequen...Show More

Mode Information Guided CNN for Quality Enhancement of Screen Content Coding

Ziyin Huang;Yui-Lam Chan;Sik-Ho Tsang;Kin-Man Lam

Year: 2023 | Volume: 11 | Journal Article |

Quality Enhancement of Screen Content Video using Dual-input CNN

Ziyin Huang;Yue Cao;Sik-Ho Tsang;Yui-Lam Chan;Kin-Man Lam

2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
In recent years, the video quality enhancement techniques have made a significant breakthrough, from the traditional methods, such as deblocking filter (DF) and sample additive offset (SAO), to deep learning-based approaches. While screen content coding (SCC) has become an important extension in High Efficiency Video Coding (HEVC), the existing approaches mainly focus on improving the quality of n...Show More

Quality Enhancement of Screen Content Video using Dual-input CNN

Ziyin Huang;Yue Cao;Sik-Ho Tsang;Yui-Lam Chan;Kin-Man Lam

Year: 2022 | Conference Paper |

Blur Detection for Surveillance Camera System

Yikun Pan;Sik-Ho Tsang;Yui-Lam Chan;Daniel P.K. Lun

2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Surveillance cameras, which are often placed in unconstrained environments, can be tampered with due to many environmental and human factors. It results in degraded surveillance videos and affects the subsequent smart applications that make use of the videos in decision-making. Blur anomaly is one of the most typical problems in those videos, which have the target objects in the videos significant...Show More

Blur Detection for Surveillance Camera System

Yikun Pan;Sik-Ho Tsang;Yui-Lam Chan;Daniel P.K. Lun

Year: 2022 | Conference Paper |

Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks

Zhi-Song Liu;Wan-Chi Siu;Yui-Lam Chan

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (2)
Super-Resolving (SR) video is more challenging compared with image super-resolution because of the demanding computation time. To enlarge a low-resolution video, the temporal relationship among frames must be fully exploited. We can model video SR as a multi-frame SR problem and use deep learning methods to estimate the spatial and temporal information. This paper proposes a lighter residual netwo...Show More

Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks

Zhi-Song Liu;Wan-Chi Siu;Yui-Lam Chan

Year: 2021 | Volume: 9 | Journal Article |

Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests

Zhi-Song Liu;Wan-Chi Siu;Yui-Lam Chan

IEEE Transactions on Image Processing
Year: 2021 | Volume: 30 | Journal Article |
Cited by: Papers (25)
Face hallucination or super-resolution is a practical application of general image super-resolution which has been recently studied by many researchers. The challenge of good face hallucination comes from a variety of poses, illuminations, facial expressions, and other degradations. In many proposed methods, researchers resolve it by using a generative neural network to reduce the perceptual loss ...Show More

Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests

Zhi-Song Liu;Wan-Chi Siu;Yui-Lam Chan

Year: 2021 | Volume: 30 | Journal Article |

Efficient Depth Intra Frame Coding in 3D-HEVC by Corner Points

Chang-Hong Fu;Yui-Lam Chan;Hong-Bin Zhang;Sik Ho Tsang;Meng-Ting Xu

IEEE Transactions on Image Processing
Year: 2021 | Volume: 30 | Journal Article |
Cited by: Papers (14)
To improve the coding performance of depth maps, 3D-HEVC includes several new depth intra coding tools at the expense of increased complexity due to a flexible quadtree Coding Unit/Prediction Unit (CU/PU) partitioning structure and a huge number of intra mode candidates. Compared to natural images, depth maps contain large plain regions surrounded by sharp edges at the object boundaries. Our obser...Show More

Efficient Depth Intra Frame Coding in 3D-HEVC by Corner Points

Chang-Hong Fu;Yui-Lam Chan;Hong-Bin Zhang;Sik Ho Tsang;Meng-Ting Xu

Year: 2021 | Volume: 30 | Journal Article |

Photo-Realistic Image Super-Resolution via Variational Autoencoders

Zhi-Song Liu;Wan-Chi Siu;Yui-Lam Chan

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2021 | Volume: 31, Issue: 4 | Journal Article |
Cited by: Papers (41)
There is a great leap in objective accuracy on image super-resolution, which recently brings a new challenge on image super-resolution with larger up-scaling (e.g. 4×) using pixel based distortion for measurement. This causes over-smooth effect which cannot grasp well the perceptual similarity. The advent of generative adversarial networks makes it possible super-resolve a low-resolution image to ...Show More

Photo-Realistic Image Super-Resolution via Variational Autoencoders

Zhi-Song Liu;Wan-Chi Siu;Yui-Lam Chan

Year: 2021 | Volume: 31, Issue: 4 | Journal Article |

Ultra Fast Screen Content Coding via Random Forest

Sik-Ho Tsang;Ngai-Wing Kwong;Yui-Lam Chan

2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
Screen content coding (SCC) is an extension to High Efficiency Video Coding (HEVC) used to compress screen content videos. Besides the conventional intra (INTRA) mode, new coding tools, intra block copy (IBC), palette (PLT) modes, and adaptive color-space transform (ACT) are introduced to encode screen content (SC) such as texts and graphics. However, the use of IBC, PLT and ACT increases the enco...Show More

Ultra Fast Screen Content Coding via Random Forest

Sik-Ho Tsang;Ngai-Wing Kwong;Yui-Lam Chan

Year: 2020 | Conference Paper |

FastSCCNet: Fast Mode Decision in VVC Screen Content Coding via Fully Convolutional Network

Sik-Ho Tsang;Ngai-Wing Kwong;Yui-Lam Chan

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
Year: 2020 | Conference Paper |
Cited by: Papers (15)
Screen content coding have been supported recently in Versatile Video Coding (VVC) to improve the coding efficiency of screen content videos by adopting new coding modes which are dedicated to screen content video compression. Two new coding modes called Intra Block Copy (IBC) and Palette (PLT) are introduced. However, the flexible quad-tree plus multi-type tree (QTMT) coding structure for coding ...Show More

FastSCCNet: Fast Mode Decision in VVC Screen Content Coding via Fully Convolutional Network

Sik-Ho Tsang;Ngai-Wing Kwong;Yui-Lam Chan

Year: 2020 | Conference Paper |

Low-Complexity Intra Prediction for Screen Content Coding by Convolutional Neural Network

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang

2020 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Screen content coding (SCC) is developed to encode screen content videos, and it is an extension of High Efficiency Video Coding (HEVC). Since screen content videos contain computer-generated content that shows special characteristics, SCC adopts the new Intra Block Copy mode and Palette mode besides the HEVC based Intra mode to improve the coding efficiency. However, the exhaustive mode searching...Show More

Low-Complexity Intra Prediction for Screen Content Coding by Convolutional Neural Network

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang

Year: 2020 | Conference Paper |

360-Degree Intra Coding Mode for Equirectangular Projection Format Videos

Sik-Ho Tsang;Yui-Lam Chan

2020 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Recent advances in display, networking, and computing technologies have resulted in changing industry focus towards 360-degree/omnidirectional images as witnessed by increased interest in virtual reality (VR) and augmented reality (AR). Numerous curves are generated for 360-degree images due to the lens curvature and projection format. However, in High Efficiency Video Coding (HEVC), the conventio...Show More

360-Degree Intra Coding Mode for Equirectangular Projection Format Videos

Sik-Ho Tsang;Yui-Lam Chan

Year: 2020 | Conference Paper |

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

Zhi-Song Liu;Wan-Chi Siu;Li-Wen Wang;Chu-Tak Li;Marie-Paule Cani;Yui-Lam Chan

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2020 | Conference Paper |
Cited by: Papers (24)
Benefited from the deep learning, image Super-Resolution has been one of the most developing research fields in computer vision. Depending upon whether using a discriminator or not, a deep convolutional neural network can provide an image with high fidelity or better perceptual quality. Due to the lack of ground truth images in real life, people prefer a photo-realistic image with low fidelity to ...Show More

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

Zhi-Song Liu;Wan-Chi Siu;Li-Wen Wang;Chu-Tak Li;Marie-Paule Cani;Yui-Lam Chan

Year: 2020 | Conference Paper |

DeepSCC: Deep Learning-Based Fast Prediction Network for Screen Content Coding

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang;Wan-Chi Siu

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2020 | Volume: 30, Issue: 7 | Journal Article |
Cited by: Papers (18)
Screen content coding (SCC) is an extension of high efficiency video coding (HEVC), and it is developed to improve the coding efficiency of screen content videos by adopting two new coding modes: Intra Block Copy (IBC) and Palette (PLT). However, the flexible quadtree-based coding tree unit (CTU) partitioning structure and various mode candidates make the fast algorithms of the SCC extremely chall...Show More

DeepSCC: Deep Learning-Based Fast Prediction Network for Screen Content Coding

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang;Wan-Chi Siu

Year: 2020 | Volume: 30, Issue: 7 | Journal Article |

Online-Learning-Based Bayesian Decision Rule for Fast Intra Mode and CU Partitioning Algorithm in HEVC Screen Content Coding

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang;Wan-Chi Siu

IEEE Transactions on Image Processing
Year: 2020 | Volume: 29 | Journal Article |
Cited by: Papers (51)
Screen content coding (SCC) is an extension of high efficiency video coding by adopting new coding modes to improve the coding efficiency of SCC at the expense of increased complexity. This paper proposes an online-learning approach for fast mode decision and coding unit (CU) size decision in SCC. To make a fast mode decision, the corner point is first extracted as a unique feature in screen conte...Show More

Online-Learning-Based Bayesian Decision Rule for Fast Intra Mode and CU Partitioning Algorithm in HEVC Screen Content Coding

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang;Wan-Chi Siu

Year: 2020 | Volume: 29 | Journal Article |

Machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang;Wan-Chi Siu

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2020 | Volume: 30, Issue: 5 | Journal Article |
Cited by: Papers (44)
The screen content coding (SCC) extension of high efficiency video coding (HEVC) improves coding gain for screen content videos by introducing two new coding modes, namely, intra block copy (IBC) and palette (PLT) modes. However, the coding gain is achieved at the increased cost of computational complexity. In this paper, we propose a decision tree-based framework for fast intra mode decision by i...Show More

Machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang;Wan-Chi Siu

Year: 2020 | Volume: 30, Issue: 5 | Journal Article |

Image Super-Resolution via Attention Based Back Projection Networks

Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Wan-Chi Siu;Yui-Lam Chan

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Year: 2019 | Conference Paper |
Cited by: Papers (50)
Deep learning based image Super-Resolution (SR) has shown rapid development due to its ability of big data digestion. Generally, deeper and wider networks can extract richer feature maps and generate SR images with remarkable quality. However, the more complex network we have, the more time consumption is required for practical applications. It is important to have a simplified network for efficie...Show More

Image Super-Resolution via Attention Based Back Projection Networks

Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Wan-Chi Siu;Yui-Lam Chan

Year: 2019 | Conference Paper |

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results

Shuhang Gu;Martin Danelljan;Radu Timofte;Muhammad Haris;Kazutoshi Akita;Greg Shakhnarovic;Norimichi Ukita;Pablo Navarrete Michelini;Wenbin Chen;Hanwen Liu;Dan Zhu;Tangxin Xie;Xin Yang;Chen Zhu;Jia Yu;Wenyu Sun;Xin Tao;Zijun Deng;Liying Lu;Wenbo Li;Taian Guo;Xiaoyong Shen;Xuemiao Xu;Yu-Wing Tai;Jiaya Jia;Peng Yi;Zhongyuan Wang;Kui Jiang;Junjun Jiang;Jiayi Ma;Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Wan-Chi Siu;Yui-Lam Chan;Ruofan Zhou;Majed EI Helou;Kuldeep Purohit;Praveen Kandula;Maitreya Suin;Rajagopalan A.N

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Year: 2019 | Conference Paper |
Cited by: Papers (21)
This paper reviews the AIM 2019 challenge on extreme image super-resolution, the problem of restoring of rich details in a low resolution image. Compared to previous, this challenge focuses on an extreme upscaling factor, ×16, and employs the novel DIVerse 8K resolution (DIV8K) dataset. This report focuses on the proposed solutions and final results. The challenge had 2 tracks. The goal in Track 1...Show More

AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results

Shuhang Gu;Martin Danelljan;Radu Timofte;Muhammad Haris;Kazutoshi Akita;Greg Shakhnarovic;Norimichi Ukita;Pablo Navarrete Michelini;Wenbin Chen;Hanwen Liu;Dan Zhu;Tangxin Xie;Xin Yang;Chen Zhu;Jia Yu;Wenyu Sun;Xin Tao;Zijun Deng;Liying Lu;Wenbo Li;Taian Guo;Xiaoyong Shen;Xuemiao Xu;Yu-Wing Tai;Jiaya Jia;Peng Yi;Zhongyuan Wang;Kui Jiang;Junjun Jiang;Jiayi Ma;Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Wan-Chi Siu;Yui-Lam Chan;Ruofan Zhou;Majed EI Helou;Kuldeep Purohit;Praveen Kandula;Maitreya Suin;Rajagopalan A.N

Year: 2019 | Conference Paper |

Efficient Mode Decision for HEVC Screen Content Coding by Content Analysis

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang

2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
The screen content coding (SCC) extension of High Efficiency Video Coding adopts three modes, the conventional intra mode of HEVC, the new intra block copy mode and palette mode, to improve the coding performance of screen content videos. However, the exhaustive search for the optimal mode among the three mode candidates brings significant computational burden to a SCC encoder. This paper proposes...Show More

Efficient Mode Decision for HEVC Screen Content Coding by Content Analysis

Wei Kuang;Yui-Lam Chan;Sik-Ho Tsang

Year: 2019 | Conference Paper |

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