World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
27145
World Ranking
1329
National Ranking
699

Overview

Zicheng Liu is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, focusing primarily on computer vision and pattern recognition. Their research spans various subfields including artificial intelligence, computational mechanics, media technology, and physiology.

The scientist's work addresses several main topics such as multimodal machine learning applications, domain adaptation and few-shot learning, advanced image and video retrieval techniques, human pose and action recognition, advanced neural network applications, video surveillance and tracking methods, and generative adversarial networks and image synthesis.

Frequent publication venues for Liu include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The scientist's recent papers demonstrate a focus on both foundational and applied aspects of computer vision and machine learning. Notable publications include:

  • "Mobile-Former: Bridging MobileNet and Transformer," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "End-to-End Semi-Supervised Object Detection with Soft Teacher," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Florence: A New Foundation Model for Computer Vision," 2021, arXiv (Cornell University)
  • "An Empirical Study of Training End-to-End Vision-and-Language Transformers," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Mesh Graphormer," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Collaborations play a significant role in Liu's research output. Frequent co-authors include:

  • Lijuan Wang
  • Jianfeng Wang
  • Kevin Lin
  • Linjie Li
  • Zhe Gan

Their research contributions reflect participation in high-impact conferences and journals, with a substantive number of publications across over 200 works in computer vision and pattern recognition. The body of work extends into artificial intelligence topics and interdisciplinary subfields emphasizing both theoretical and applied computer science.

Best Publications

  • Mining actionlet ensemble for action recognition with depth cameras

    Jiang Wang;Zicheng Liu;Ying Wu;Junsong Yuan

  • Action recognition based on a bag of 3D points

    Wanqing Li;Zhengyou Zhang;Zicheng Liu

  • Dynamic Convolution: Attention Over Convolution Kernels

    Yinpeng Chen;Xiyang Dai;Mengchen Liu;Dongdong Chen

  • HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences

    Omar Oreifej;Zicheng Liu

  • Large Scale Incremental Learning

    Yue Wu;Yinpeng Chen;Lijuan Wang;Yuancheng Ye

  • Rethinking Classification and Localization for Object Detection

    Yue Wu;Yinpeng Chen;Lu Yuan;Zicheng Liu

  • End-to-End Human Pose and Mesh Reconstruction with Transformers

    Kevin Lin;Lijuan Wang;Zicheng Liu

  • Learning Actionlet Ensemble for 3D Human Action Recognition

    Jiang Wang;Zicheng Liu;Ying Wu;Junsong Yuan

  • Robust 3D Action Recognition with Random Occupancy Patterns

    Jiang Wang;Zicheng Liu;Jan Chorowski;Zhuoyuan Chen

  • Mobile-Former: Bridging MobileNet and Transformer.

    Yinpeng Chen;Xiyang Dai;Dongdong Chen;Mengchen Liu

  • End-to-End Semi-Supervised Object Detection With Soft Teacher

    Mengde Xu;Zheng Zhang;Han Hu;Jianfeng Wang

  • Survey on 3D Hand Gesture Recognition

    Hong Cheng;Lu Yang;Zicheng Liu

  • Distributed meetings: a meeting capture and broadcasting system

    Ross Cutler;Yong Rui;Anoop Gupta;JJ Cadiz

  • Discriminative subvolume search for efficient action detection

    Junsong Yuan;Zicheng Liu;Ying Wu

  • A real time system for dynamic hand gesture recognition with a depth sensor

    A. Kurakin;Z. Zhang;Z. Liu

  • STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences

    Antônio Wilson Vieira;Antônio Wilson Vieira;Erickson R. Nascimento;Gabriel L. Oliveira;Zicheng Liu

  • Expressive expression mapping with ratio images

    Zicheng Liu;Ying Shan;Zhengyou Zhang

  • Florence: A New Foundation Model for Computer Vision

    Lu Yuan;Dongdong Chen;Yi-Ling Chen;Noel Codella

  • Rapid computer modeling of faces for animation

    Zicheng Liu;Zhengyou Zhang;Michael F. Cohen;Charles E. Jacobs

  • Geometry-driven photorealistic facial expression synthesis

    Qingshan Zhang;Z. Liu;Gaining Quo;D. Terzopoulos

  • Hierarchical spacetime control

    Zicheng Liu;Steven J. Gortler;Michael F. Cohen

Frequent Co-Authors

Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Alejandro Acero
Alejandro Acero Apple (United States)
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Michael J. Sinclair
Michael J. Sinclair Microsoft (United States)
Hong Cheng
Hong Cheng University of Electronic Science and Technology of China
Philip A. Chou
Philip A. Chou Google (United States)
Gang Hua
Gang Hua Dolby (United States)
Mingli Song
Mingli Song Zhejiang University
Ying Wu
Ying Wu Northwestern University

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