Ruigang Yang is affiliated with the University of Kentucky in the United States. Their research spans several primary fields of study including Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Artificial Intelligence, and Computational Mechanics.
The scientist's work covers multiple key topics including Advanced Neural Network Applications, Advanced Vision and Imaging, Robotics and Sensor-Based Localization, Autonomous Vehicle Technology and Safety, Human Pose and Action Recognition, 3D Shape Modeling and Analysis, and Video Surveillance and Tracking Methods.
Yang has published extensively, with a significant presence in prominent venues. The most frequent publication venues include arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Robotics and Automation Letters, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Among recent notable papers, the following stand out:
Frequent collaborators in their research include Junbo Yin, Yuexin Ma, Xinge Zhu, Dinesh Manocha, and Dingfu Zhou. These close co-authorship relationships indicate ongoing partnerships within the fields of computer vision and machine learning.
M. Pollefeys;D. Nistér;J. M. Frahm;A. Akbarzadeh
Qingxiong Yang;Ruigang Yang;J. Davis;D. Nister
Qingxiong Yang;Liang Wang;Ruigang Yang;H. Stewenius
Feihu Zhang;Victor Prisacariu;Ruigang Yang;Philip H.S. Torr
Wenguan Wang;Qiuxia Lai;Huazhu Fu;Jianbing Shen
Xinyu Huang;Xinjing Cheng;Qichuan Geng;Binbin Cao
Xinyu Huang;Peng Wang;Xinjing Cheng;Dingfu Zhou
Ruigang Yang;Greg Welch;Gary Bishop
R. Raskar;M.S. Brown;Ruigang Yang;Wei-Chao Chen
Wenguan Wang;Jianbing Shen;Ruigang Yang;Fatih Porikli
Yuexin Ma;Xinge Zhu;Sibo Zhang;Ruigang Yang
P. Merrell;A. Akbarzadeh;Liang Wang;P. Mordohai
Dingfu Zhou;Jin Fang;Xibin Song;Chenye Guan
Unknown
Ruigang Yang;M. Pollefeys
Liang Wang;Miao Liao;Minglun Gong;Ruigang Yang
Jiejie Zhu;Liang Wang;Ruigang Yang;J. Davis
Qingxiong Yang;Liang Wang;Ruigang Yang;Shengnan Wang
Xinjing Cheng;Peng Wang;Ruigang Yang
M. Brown;A. Majumder;R. Yang
Qyngxiong Yang;Liang Wang;Ruigang Yang;H. Stewenius
If you think any of the details on this page are incorrect, let us know.
Exploring a career in computer science can open doors to diverse opportunities across technology, research, and industry. For those wishing to pursue this path but are concerned about academic records, there are universities for low gpa students that offer flexible online programs and additional support.
If you’re interested in fast-tracking your education, consider an online computer science degree through an accelerated program. These programs are designed to help you enter the tech workforce sooner, without sacrificing quality education.
Computer science also closely intersects with fields like environmental science and engineering. Curious about applying technology in areas beyond traditional programming? Explore what can you do with an environmental science degree to see how data analysis, modeling, and software development can address ecological challenges.
For those interested in sustainable technology, affordable and flexible environmental engineering degrees online offer an interdisciplinary path that combines computer science skills with engineering to solve real-world environmental issues.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 36
Chinese University of Hong Kong
University of Pennsylvania
Ben-Gurion University of the Negev
University of Delaware
University of Florida
Technical University of Madrid
University of Cambridge
University of Otago
Claude Bernard University Lyon 1
University of Otago
Baylor College of Medicine
University of Tübingen
Chinese Academy of Sciences
Charité - University Medicine Berlin
Great Ormond Street Hospital
Aristotle University of Thessaloniki
