World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
11267
World Ranking
4825
National Ranking
290

Overview

Yu-Kun Lai is affiliated with Cardiff University in the United Kingdom. Their research spans the fields of Computer Science and Engineering, with a focus on several subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, and Artificial Intelligence.

The scientist's work is documented in numerous papers published across a variety of venues. Prominent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ACM Transactions on Graphics
  • Computational Visual Media

The frequent co-authors collaborating with Yu-Kun Lai are:

  • Lin Gao
  • Paul L. Rosin
  • Kun Li
  • Ze Ji
  • Jing Wu

Yu-Kun Lai has contributed to various research topics, including:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Face Recognition and Analysis
  • Advanced Image and Video Retrieval Techniques

Selected recent papers authored or co-authored by Yu-Kun Lai include:

  • "An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals," 2020, IEEE Transactions on Affective Computing
  • "NeRF-Editing: Geometry Editing of Neural Radiance Fields," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A survey on deep geometry learning: From a representation perspective," 2020, Computational Visual Media
  • "Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation," 2021, IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid

    G. K. L. Tam;Zhi-Quan Cheng;Yu-Kun Lai;F. C. Langbein

  • IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

    Xiaoping Wu;Chi Zhan;Yu-Kun Lai;Ming-Ming Cheng

  • CartoonGAN: Generative Adversarial Networks for Photo Cartoonization

    Yang Chen;Yu-Kun Lai;Yong-Jin Liu

  • NeRF-Editing: Geometry Editing of Neural Radiance Fields

    Unknown

  • VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation

    Hsien-Yu Meng;Lin Gao;Yu-Kun Lai;Dinesh Manocha

  • An Efficient LSTM Network for Emotion Recognition from Multichannel EEG Signals

    Xiaobing Du;Cuixia Ma;Guanhua Zhang;Jinyao Li

  • SDM-NET: deep generative network for structured deformable mesh

    Lin Gao;Jie Yang;Tong Wu;Yu-Jie Yuan

  • MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

    Qian Xie;Yu-Kun Lai;Jing Wu;Zhoutao Wang

  • StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning

    Unknown

  • Variational Autoencoders for Deforming 3D Mesh Models

    Qingyang Tan;Lin Gao;Yu-Kun Lai;Shihong Xia

  • Fast mesh segmentation using random walks

    Yu-Kun Lai;Shi-Min Hu;Ralph R. Martin;Paul L. Rosin

  • APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs

    Ran Yi;Yong-Jin Liu;Yu-Kun Lai;Paul L. Rosin

  • Weakly Supervised Coupled Networks for Visual Sentiment Analysis

    Jufeng Yang;Dongyu She;Yu-Kun Lai;Paul L. Rosin

  • Robust Feature Classification and Editing

    Yu-Kun Lai;Qian-Yi Zhou;Shi-Min Hu;J. Wallner

  • PISE: Person Image Synthesis and Editing with Decoupled GAN

    Jinsong Zhang;Kun Li;Yu-Kun Lai;Jingyu Yang

  • Automatic and topology-preserving gradient mesh generation for image vectorization

    Yu-Kun Lai;Shi-Min Hu;Ralph R. Martin

  • Robust principal curvatures on multiple scales

    Yong-Liang Yang;Yu-Kun Lai;Shi-Min Hu;Helmut Pottmann

  • Rapid and effective segmentation of 3D models using random walks

    Yu-Kun Lai;Shi-Min Hu;Ralph R. Martin;Paul L. Rosin

  • Automatic semantic modeling of indoor scenes from low-quality RGB-D data using contextual information

    Kang Chen;Yu-Kun Lai;Yu-Xin Wu;Ralph Martin

  • Principal curvatures from the integral invariant viewpoint

    Helmut Pottmann;Johannes Wallner;Yong-Liang Yang;Yu-Kun Lai

  • Automatic unpaired shape deformation transfer

    Lin Gao;Jie Yang;Yi-Ling Qiao;Yu-Kun Lai

  • 3D indoor scene modeling from RGB-D data: a survey

    Kang Chen;Yu-Kun Lai;Shi-Min Hu

Frequent Co-Authors

Paul L. Rosin
Paul L. Rosin Cardiff University
Lin Gao
Lin Gao Xidian University
Shi-Min Hu
Shi-Min Hu Tsinghua University
Ralph R. Martin
Ralph R. Martin Cardiff University
Yong-Jin Liu
Yong-Jin Liu Tsinghua University
Jingyu Yang
Jingyu Yang Tianjin University
Hongbo Fu
Hongbo Fu City University of Hong Kong
Leif Kobbelt
Leif Kobbelt RWTH Aachen University
Yebin Liu
Yebin Liu Tsinghua University
Ming-Ming Cheng
Ming-Ming Cheng Nankai University

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