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Yong-Jin Liu

Yong-Jin Liu

D-Index & Metrics

Computer Science

D-Index
46
Citations
9413
World Ranking
6805
National Ranking
913

Overview

Yong-Jin Liu is affiliated with Tsinghua University in China and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition. Their research portfolio spans several core areas within the discipline, including artificial intelligence, computational mechanics, aerospace engineering, and cognitive neuroscience.

The central themes of their work revolve around advanced vision and imaging, generative adversarial networks and image synthesis, advanced image and video retrieval techniques, 3D shape modeling and analysis, robotics and sensor-based localization, computer graphics and visualization techniques, and face recognition and analysis.

Yong-Jin Liu has published numerous papers in highly regarded venues. Some notable recent works include:

  • AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis (2021, 2021 IEEE/CVF International Conference on Computer Vision)
  • An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals (2020, IEEE Transactions on Affective Computing)
  • Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals (2021, IEEE Transactions on Affective Computing)
  • View planning in robot active vision: A survey of systems, algorithms, and applications (2020, Computational Visual Media)

The scientist frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Transactions on Affective Computing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Yong-Jin Liu collaborates often with several coauthors, reflecting interdisciplinary research efforts. Frequent collaborators include Ran Yi, Yu-Hui Wen, Yu-Kun Lai, Jenny Sheng, and Matthieu Lin, each contributing to multiple joint publications.

Best Publications

  • CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation

    Wen-Jing Yan;Xiaobai Li;Su-Jing Wang;Guoying Zhao

  • A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

    Yong-Jin Liu;Jin-Kai Zhang;Wen-Jing Yan;Su-Jing Wang

  • CartoonGAN: Generative Adversarial Networks for Photo Cartoonization

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

  • CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces

    Wen-Jing Yan;Qi Wu;Yong-Jin Liu;Su-Jing Wang

  • Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals

    Yong-Jin Liu;Minjing Yu;Guozhen Zhao;Jinjing Song

  • AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

    Yudong Guo;Keyu Chen;Sen Liang;Yong-Jin Liu

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

    Xiaobing Du;Cuixia Ma;Guanhua Zhang;Jinyao Li

  • Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms

    Xianye Ben;Yi Ren;Junping Zhang;Su-Jing Wang

  • A survey on CAD methods in 3D garment design

    Yong-Jin Liu;Dong-Liang Zhang;Matthew Ming-Fai Yuen

  • Support-free volume printing by multi-axis motion

    Chengkai Dai;Charlie C. L. Wang;Chenming Wu;Sylvain Lefebvre

  • Attention-Aware Multi-Stroke Style Transfer

    Yuan Yao;Jianqiang Ren;Xuansong Xie;Weidong Liu

  • Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet

    Wang Zhao;Shaohui Liu;Yezhi Shu;Yong-Jin Liu

  • Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels

    Yong-Jin Liu;Cheng-Chi Yu;Min-Jing Yu;Ying He

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

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

  • RoboFDM: A robotic system for support-free fabrication using FDM

    Chenming Wu;Chengkai Dai;Guoxin Fang;Yong-Jin Liu

  • Image Retargeting Quality Assessment

    Yong-Jin Liu;Xi Luo;Yu-Ming Xuan;Wen-Feng Chen

  • Micro-expression recognition with small sample size by transferring long-term convolutional neural network

    Su-Jing Wang;Bing-Jun Li;Yong-Jin Liu;Wen-Jing Yan

  • SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals

    Guanhua Zhang;Minjing Yu;Yong-Jin Liu;Guozhen Zhao

  • Construction of Iso-Contours, Bisectors, and Voronoi Diagrams on Triangulated Surfaces

    Yong-Jin Liu;Zhanqing Chen;Kai Tang

  • A computational cognition model of perception, memory, and judgment

    XiaoLan Fu;LianHong Cai;Ye Liu;Jia Jia

  • Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose

    Ran Yi;Zipeng Ye;Juyong Zhang;Hujun Bao

Frequent Co-Authors

Ying He
Ying He Nanyang Technological University
Xiaolan Fu
Xiaolan Fu Chinese Academy of Sciences
Yu-Kun Lai
Yu-Kun Lai Cardiff University
Charlie C. L. Wang
Charlie C. L. Wang University of Manchester
Shi-Min Hu
Shi-Min Hu Tsinghua University
Ligang Liu
Ligang Liu University of Science and Technology of China
Lexing Xie
Lexing Xie Australian National University
Hujun Bao
Hujun Bao Zhejiang University
Jia Pan
Jia Pan University of Hong Kong
Paul L. Rosin
Paul L. Rosin Cardiff University

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