World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025
Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Rising Stars

D-Index
69
Citations
19116
World Ranking
85
National Ranking
5

Computer Science

D-Index
69
Citations
22693
World Ranking
1952
National Ranking
267

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Rising Stars Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Yunchao Wei is affiliated with the University of Technology Sydney in Australia and specializes in fields related to computer science, particularly focusing on computer vision and artificial intelligence. Their research includes extensive work in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology, and Computer Graphics and Computer-Aided Design.

The primary research topics that Yunchao Wei has contributed to include:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Visual Attention and Saliency Detection
  • Video Surveillance and Tracking Methods
  • Generative Adversarial Networks and Image Synthesis

Yunchao Wei has coauthored numerous papers with frequent collaborators including:

  • Yao Zhao
  • Yi Yang
  • Humphrey Shi
  • Xiaodan Liang
  • Chuangchuang Tan

They have published extensively in key venues such as:

  • arXiv (Cornell University) with over 100 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • Proceedings of the AAAI Conference on Artificial Intelligence

Notable recent papers include:

  • LayerCAM: Exploring Hierarchical Class Activation Maps for Localization, 2021, IEEE Transactions on Image Processing
  • CCNet: Criss-Cross Attention for Semantic Segmentation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation, 2020, IEEE Transactions on Cybernetics
  • Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • VehicleNet: Learning Robust Visual Representation for Vehicle Re-Identification, 2020, IEEE Transactions on Multimedia

In addition to journal and conference articles, Yunchao Wei has published books with Morgan & Claypool Publishers. These include:

  • Video Object Tracking, 2023
  • Video Object Segmentation, 2023

Their body of work spans over 400 publications in computer science, with over 300 specifically in computer vision and pattern recognition, demonstrating a focus on image and video analysis, neural network applications, and emerging machine learning techniques.

Best Publications

  • CCNet: Criss-Cross Attention for Semantic Segmentation

    Zilong Huang;Xinggang Wang;Lichao Huang;Chang Huang

  • CCNet: Criss-Cross Attention for Semantic Segmentation

    Zilong Huang;Xinggang Wang;Yunchao Wei;Lichao Huang

  • Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

    Yunchao Wei;Jiashi Feng;Xiaodan Liang;Ming-Ming Cheng

  • Perceptual Generative Adversarial Networks for Small Object Detection

    Jianan Li;Xiaodan Liang;Yunchao Wei;Tingfa Xu

  • HCP: A Flexible CNN Framework for Multi-Label Image Classification

    Yunchao Wei;Wei Xia;Min Lin;Junshi Huang

  • LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

    Peng-Tao Jiang;Chang-Bin Zhang;Qibin Hou;Ming-Ming Cheng

  • STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

    Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Xiaohui Shen

  • Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

    Yunchao Wei;Huaxin Xiao;Honghui Shi;Zequn Jie

  • Adversarial Complementary Learning for Weakly Supervised Object Localization

    Xiaolin Zhang;Yunchao Wei;Jiashi Feng;Yi Yang

  • SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation

    Xiaolin Zhang;Yunchao Wei;Yi Yang;Thomas S. Huang

  • Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification

    Yang Fu;Yunchao Wei;Guanshuo Wang;Yuqian Zhou

  • Self-Correction for Human Parsing.

    Peike Li;Yunqiu Xu;Yunchao Wei;Yi Yang

  • Horizontal Pyramid Matching for Person Re-Identification

    Yang Fu;Yunchao Wei;Yuqian Zhou;Honghui Shi

  • Delving Deep Into Label Smoothing

    Chang-Bin Zhang;Peng-Tao Jiang;Qibin Hou;Yunchao Wei

  • Cross-Modal Retrieval With CNN Visual Features: A New Baseline

    Yunchao Wei;Yao Zhao;Canyi Lu;Shikui Wei

  • University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization

    Zhedong Zheng;Yunchao Wei;Yi Yang

  • Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

    Bowen Cheng;Yunchao Wei;Honghui Shi;Rogério Schmidt Feris

  • Attentive Contexts for Object Detection

    Jianan Li;Yunchao Wei;Xiaodan Liang;Jian Dong

  • Proposal-Free Network for Instance-Level Object Segmentation

    Xiaodan Liang;Liang Lin;Yunchao Wei;Xiaohui Shen

  • Integral Object Mining via Online Attention Accumulation

    Peng-Tao Jiang;Qibin Hou;Yang Cao;Ming-Ming Cheng

  • Deep learning with S-shaped rectified linear activation units

    Xiaojie Jin;Chunyan Xu;Jiashi Feng;Yunchao Wei

  • Self-produced guidance for weakly-supervised object localization

    Xiaolin Zhang;Yunchao Wei;Guoliang Kang;Yi Yang

  • Devil in the Details: Towards Accurate Single and Multiple Human Parsing

    Tao Ruan;Ting Liu;Zilong Huang;Yunchao Wei

Frequent Co-Authors

Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Jiashi Feng
Jiashi Feng ByteDance
Shuicheng Yan
Shuicheng Yan National University of Singapore
Yao Zhao
Yao Zhao Beijing Jiaotong University
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Jinjun Xiong
Jinjun Xiong University at Buffalo, State University of New York
Zequn Jie
Zequn Jie Tencent (China)
Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Liang Lin
Liang Lin Sun Yat-sen University
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign

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 computer science studies in the USA opens many flexible pathways, including online and affordable degree options. Today, learners can start with foundational programs such as easy online associate degrees, which provide essential tech skills and a quicker route to entry-level positions.

For those seeking to deepen their expertise without incurring high costs, online affordable master's programs are an excellent way to advance knowledge in specialized fields such as data science or cybersecurity, while maintaining work-life balance.

If your ambitions include leadership or academia, there are cost-effective options for both education and organizational management doctoral degrees. Consider the doctorate in leadership for those aiming for high-level roles in tech-driven organizations, or the cheapest online doctorate in educational leadership for those interested in curriculum innovation and educational policy.

Online degrees not only make learning accessible and affordable but also provide varied career opportunities—from hands-on technical jobs to influential roles in leadership and education.

Best Scientists Citing Yunchao Wei

Trending Scientists