World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
64
Citations
35163
World Ranking
126
National Ranking
3

Computer Science

D-Index
67
Citations
38994
World Ranking
2134
National Ranking
38

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ziwei Liu is affiliated with Nanyang Technological University in Singapore. Their primary field of study is Computer Science, with a strong focus on several specialized subfields and research topics.

The scientist's work spans numerous subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Control and Systems Engineering
  • Signal Processing

Within these areas, Ziwei Liu's research covers a variety of main topics, such as:

  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Their recent papers illustrate contributions across various topics in computer vision and vision-language models. Notable recent publications are:

  • "Learning to Prompt for Vision-Language Models," 2022, International Journal of Computer Vision
  • "Conditional Prompt Learning for Vision-Language Models," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Domain Generalization: A Survey," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "MMDetection: Open MMLab Detection Toolbox and Benchmark," 2024, arXiv (Cornell University)
  • "Incorporating Convolution Designs into Visual Transformers," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Ziwei Liu frequently collaborates with co-authors in the field. Prominent collaborators include:

  • Chen Change Loy
  • Liang Pan
  • Dahua Lin
  • Fangzhou Hong
  • Zhongang Cai

Best Publications

  • Deep Learning Face Attributes in the Wild

    Ziwei Liu;Ping Luo;Xiaogang Wang;Xiaoou Tang

  • Dynamic Graph CNN for Learning on Point Clouds

    Yue Wang;Yongbin Sun;Ziwei Liu;Sanjay E. Sarma

  • Learning to Prompt for Vision-Language Models

    Unknown

  • DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

    Ziwei Liu;Ping Luo;Shi Qiu;Xiaogang Wang

  • Conditional Prompt Learning for Vision-Language Models

    Unknown

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Domain Generalization: A Survey

    Unknown

  • Large-Scale Long-Tailed Recognition in an Open World

    Ziwei Liu;Zhongqi Miao;Xiaohang Zhan;Jiayun Wang

  • MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

    Cheng-Han Lee;Ziwei Liu;Lingyun Wu;Ping Luo

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • CARAFE: Content-Aware ReAssembly of FEatures

    Jiaqi Wang;Kai Chen;Rui Xu;Ziwei Liu

  • Video Frame Synthesis Using Deep Voxel Flow

    Ziwei Liu;Raymond A. Yeh;Xiaoou Tang;Yiming Liu

  • Semantic Image Segmentation via Deep Parsing Network

    Ziwei Liu;Xiaoxiao Li;Ping Luo;Chen-Change Loy

  • Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

    Hang Zhou;Yu Liu;Ziwei Liu;Ping Luo

  • Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

    Hang Zhou;Yasheng Sun;Wayne Wu;Chen Change Loy

  • Generalized Out-of-Distribution Detection: A Survey

    Jingkang Yang;Kaiyang Zhou;Yixuan Li;Ziwei Liu

  • Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

    Xiaoxiao Li;Ziwei Liu;Ping Luo;Chen Change Loy

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Jiangmiao Pang;Jiaqi Wang;Yu Xiong

  • Knowledge Distillation Meets Self-supervision

    Guodong Xu;Ziwei Liu;Xiaoxiao Li;Chen Change Loy

  • Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets

    Tong Wu;Qingqiu Huang;Ziwei Liu;Yu Wang

  • Face model compression by distilling knowledge from neurons

    Ping Luo;Zhenyao Zhu;Ziwei Liu;Xiaogang Wang

  • Fashion Landmark Detection in the Wild

    Ziwei Liu;Sijie Yan;Ping Luo;Xiaogang Wang

  • DPATCH: An Adversarial Patch Attack on Object Detectors.

    Xin Liu;Huanrui Yang;Ziwei Liu;Linghao Song

Frequent Co-Authors

Dahua Lin
Dahua Lin Chinese University of Hong Kong
Ping Luo
Ping Luo University of Hong Kong
Chen Change Loy
Chen Change Loy Nanyang Technological University
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Jianping Shi
Jianping Shi SenseTime
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab

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