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D-Index & Metrics

Computer Science

D-Index
54
Citations
13710
World Ranking
4506
National Ranking
602

Overview

Rynson W. H. Lau is affiliated with City University of Hong Kong in China. Their research primarily falls within Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Media Technology, and Cognitive Neuroscience.

The scientist has published extensively in key areas, notably on topics including Advanced Image and Video Retrieval Techniques, Visual Attention and Saliency Detection, Image Enhancement Techniques, Advanced Neural Network Applications, Advanced Vision and Imaging, Computer Graphics and Visualization Techniques, and Advanced Image Processing Techniques.

Frequent publication venues for Rynson W. H. Lau include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Image Processing, ACM Transactions on Graphics, and the International Journal of Computer Vision.

Recent notable papers authored by or with contributions from Rynson W. H. Lau include:

  • HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions, 2021, IEEE Transactions on Image Processing
  • MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Weakly-Supervised Camouflaged Object Detection with Scribble Annotations, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • What makes instance discrimination good for transfer learning?, 2020, arXiv (Cornell University)
  • Weakly-Supervised Salient Object Detection With Saliency Bounding Boxes, 2021, IEEE Transactions on Image Processing

The scientist frequently collaborates with other researchers such as Ke Xu, Jiaying Lin, Zhanghan Ke, Ying Cao, and Xin Yang.

In addition to journal and conference publications, Rynson W. H. Lau has contributed to books published by Springer Science+Business Media, including two editions of "Emerging Technologies for Education" released in 2021 and 2024.

Best Publications

  • BiFormer: Vision Transformer with Bi-Level Routing Attention

    Unknown

  • Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset

    Tianyu Wang;Xin Yang;Ke Xu;Shaozhe Chen

  • VITAL: VIsual Tracking via Adversarial Learning

    Yibing Song;Chao Ma;Xiaohe Wu;Lijun Gong

  • CREST: Convolutional Residual Learning for Visual Tracking

    Yibing Song;Chao Ma;Lijun Gong;Jiawei Zhang

  • Visual Tracking via Locality Sensitive Histograms

    Shengfeng He;Qingxiong Yang;Rynson W. H. Lau;Jiang Wang

  • Learning to Restore Low-Light Images via Decomposition-and-Enhancement

    Ke Xu;Xin Yang;Baocai Yin;Rynson W.H. Lau

  • Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks

    Jiawei Zhang;Jinshan Pan;Jimmy Ren;Yibing Song

  • SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection

    Shengfeng He;Rynson W. Lau;Wenxi Liu;Zhe Huang

  • DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal

    Liangqiong Qu;Jiandong Tian;Shengfeng He;Yandong Tang

  • Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning

    Zhanghan Ke;Daoye Wang;Qiong Yan;Jimmy Ren

  • CHECK: a document plagiarism detection system

    Antonio Si;Hong Va Leong;Rynson W. H. Lau

  • Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning

    Zhanghan Ke;Di Qiu;Kaican Li;Qiong Yan

  • MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

    Unknown

  • Night-Time Scene Parsing With a Large Real Dataset

    Xin Tan;Ke Xu;Ying Cao;Yiheng Zhang

  • Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss

    Jianbo Jiao;Ying Cao;Yibing Song;Rynson W. H. Lau

  • HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions

    Yuzhen Niu;Jianbin Wu;Wenxi Liu;Wenzhong Guo

  • Content-aware generative modeling of graphic design layouts

    Xinru Zheng;Xiaotian Qiao;Ying Cao;Rynson W. H. Lau

  • Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution

    Jiawei Zhang;Jinshan Pan;Wei-Sheng Lai;Rynson W. H. Lau

  • A multi-server architecture for distributed virtual walkthrough

    Beatrice Ng;Antonio Si;Rynson W.H. Lau;Frederick W.B. Li

  • Distraction-Aware Shadow Detection

    Quanlong Zheng;Xiaotian Qiao;Ying Cao;Rynson W.H. Lau

  • CyberWalk: a web-based distributed virtual walkthrough environment

    J. Chim;R.W.H. Lau;H.V. Leong;A. Si

  • A statistical similarity measure for aggregate crowd dynamics

    Stephen J. Guy;Jur van den Berg;Wenxi Liu;Rynson Lau

  • Recent development in multimedia e-learning technologies

    Rynson W. Lau;Neil Y. Yen;Frederick Li;Benjamin Wah

  • Computing inverse kinematics with linear programming

    Edmond S. L. Ho;Taku Komura;Rynson W. H. Lau

Frequent Co-Authors

Qing Li
Qing Li Hong Kong Polytechnic University
Taku Komura
Taku Komura University of Edinburgh
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Qiang Zhang
Qiang Zhang Dalian University of Technology
Antoni B. Chan
Antoni B. Chan City University of Hong Kong
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Ming C. Lin
Ming C. Lin University of Maryland, College Park
Nadia Magnenat-Thalmann
Nadia Magnenat-Thalmann University of Geneva

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