World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
10312
World Ranking
3495
National Ranking
472

Overview

Jianzhuang Liu is affiliated with the Shenzhen Institutes of Advanced Technology in China. Their research primarily spans the field of Computer Science, with a focus on various subfields and specialized topics within this broad discipline.

Their work covers significant areas including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Graphics and Computer-Aided Design, and Radiology, Nuclear Medicine and Imaging. Within these subfields, Liu has explored diverse topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Advanced Image Processing Techniques, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, and Human Pose and Action Recognition.

The scientist has contributed to a number of notable publications. Selected recent papers include:

  • Uformer: A General U-Shaped Transformer for Image Restoration, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Prompt Distribution Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Domain General Face Forgery Detection by Learning to Weight, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Uformer: A General U-Shaped Transformer for Image Restoration, 2021, arXiv (Cornell University)

Liu collaborates frequently with a number of researchers, including Rongrong Ji, Qi Tian, Baochang Zhang, Songcen Xu, and Xiaodan Liang. These collaborations highlight a network of partnerships focused on advancing research in computer vision and artificial intelligence.

Publications by Liu have appeared consistently in well-known venues, with multiple contributions to arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE/CVF International Conference on Computer Vision (ICCV).

Best Publications

  • Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor

    Baochang Zhang;Yongsheng Gao;Sanqiang Zhao;Jianzhuang Liu

  • Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

    Tao Huang;Songjiang Li;Xu Jia;Huchuan Lu

  • Gabor Convolutional Networks

    Shangzhen Luan;Baochang Zhang;Chen Chen;Xianbin Cao

  • 2D Shape Matching by Contour Flexibility

    Chunjing Xu;Jianzhuang Liu;Xiaoou Tang

  • Robust 3D Face Recognition by Local Shape Difference Boosting

    Yueming Wang;Jianzhuang Liu;Xiaoou Tang

  • Gabor Convolutional Networks

    Shangzhen Luan;Chen Chen;Baochang Zhang;Jungong Han

  • Hidden Factor Analysis for Age Invariant Face Recognition

    Dihong Gong;Zhifeng Li;Dahua Lin;Jianzhuang Liu

  • A spatial-temporal approach for video caption detection and recognition

    Xiaoou Tang;Xinbo Gao;Jianzhuang Liu;Hongjiang Zhang

  • Pairwise constraint propagation by semidefinite programming for semi-supervised classification

    Zhenguo Li;Jianzhuang Liu;Xiaoou Tang

  • A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

    Bo Li;Yijuan Lu;Chunyuan Li;Afzal Godil

  • Constrained clustering via spectral regularization

    Zhenguo Li;Jianzhuang Liu;Xiaoou Tang

  • Geometric Reinforcement Learning for Path Planning of UAVs

    Baochang Zhang;Zhili Mao;Wanquan Liu;Jianzhuang Liu

  • Multiple Instance Active Learning for Object Detection

    Tianning Yuan;Fang Wan;Mengying Fu;Jianzhuang Liu

  • Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID

    Peixian Chen;Wenfeng Liu;Pingyang Dai;Jianzhuang Liu

  • Automatic facial expression recognition on a single 3D face by exploring shape deformation

    Boqing Gong;Yueming Wang;Jianzhuang Liu;Xiaoou Tang

  • Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

    Yuchao Li;Shaohui Lin;Baochang Zhang;Jianzhuang Liu

  • Domain General Face Forgery Detection by Learning to Weight.

    Ke Sun;Hong Liu;Qixiang Ye;Yue Gao

  • Graph-based method for face identification from a single 2D line drawing

    Jianzhuang Liu;Yong Tsui Lee

  • SketchyCOCO: Image Generation From Freehand Scene Sketches

    Chengying Gao;Qi Liu;Qi Xu;Limin Wang

  • Multinomial Distribution Learning for Effective Neural Architecture Search

    Xiawu Zheng;Rongrong Ji;Lang Tang;Baochang Zhang

  • Joint Example-Based Depth Map Super-Resolution

    Yanjie Li;Tianfan Xue;Lifeng Sun;Jianzhuang Liu

  • A maximum entropy feature descriptor for age invariant face recognition

    Dihong Gong;Zhifeng Li;Dacheng Tao;Jianzhuang Liu

  • Offline Signature Verification Using Online Handwriting Registration

    Yu Qiao;Jianzhuang Liu;Xiaoou Tang

  • Memory Attention Networks for Skeleton-based Action Recognition

    Chunyu Xie;Ce Li;Baochang Zhang;Chen Chen

Frequent Co-Authors

Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Baochang Zhang
Baochang Zhang Beihang University
Rongrong Ji
Rongrong Ji Xiamen University
Qi Tian
Qi Tian Huawei Technologies (China)
David Doermann
David Doermann University at Buffalo, State University of New York
Liangliang Cao
Liangliang Cao Google (United States)
Yu Qiao
Yu Qiao Chinese Academy of Sciences
Jungong Han
Jungong Han Aberystwyth University
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Wei Liu
Wei Liu Tencent (China)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a career in Computer Science opens doors to a variety of related online degrees and fast-moving career paths. For those interested in specialized fields, numerous data science programs in the USA offer affordable tuition options and flexible study schedules, making advanced learning accessible to a wider audience.

If your focus is on hardware, or the integration of software with physical systems, electrical engineering online tuition costs are another consideration. Many universities now offer top-rated online electrical engineering programs that balance quality education with manageable tuition and remote learning options.

For a quicker entry into the workforce or to boost credentials, you might consider pursuing easy certifications to get online. These certifications can be completed in less time and often lead to well-paying roles, especially in tech support or network administration.

Lastly, those aiming to expedite their academic journey can explore the fastest masters degree online options. These intensive programs allow you to earn an advanced degree in as little as a year, perfect for driven professionals keen to advance sooner.

Best Scientists Citing Jianzhuang Liu

Trending Scientists