Errui Ding is affiliated with Baidu (China) and specializes in research within the field of Computer Science. Their principal area of expertise lies in Computer Vision and Pattern Recognition, supported by a significant number of publications in this subfield.
Their scholarly output includes work in several related subfields such as Artificial Intelligence, Computer Graphics and Computer-Aided Design, Aerospace Engineering, and Signal Processing. The scope of their research topics reflects a strong focus on advanced techniques in neural networks, image and video retrieval, vision and imaging, and multimodal machine learning applications.
Key topics of study covered in their publications include:
Errui Ding has published a number of papers in prominent venues, reflecting a concentration in core conferences and journals relevant to computer vision and artificial intelligence. Frequent publication venues include:
Among the recent papers authored or coauthored by Errui Ding are:
The scientist has collaborated extensively with several frequent coauthors, suggesting active engagement in research networks. These include:
Tianwei Lin;Xiao Liu;Xin Li;Errui Ding
Mengyang Feng;Huchuan Lu;Errui Ding
Ming Sun;Yuchen Yuan;Feng Zhou;Errui Ding
Songhua Liu;Tianwei Lin;Dongliang He;Fu Li
Ming Liu;Yukang Ding;Min Xia;Xiao Liu
Deli Yu;Xuan Li;Chengquan Zhang;Tao Liu
Fan Zhang;Yanqin Chen;Zhihang Li;Zhibin Hong
Chengquan Zhang;Borong Liang;Zuming Huang;Mengyi En
Chaohao Xie;Shaohui Liu;Chao Li;Ming-Ming Cheng
Runmin Wu;Mengyang Feng;Wenlong Guan;Dong Wang
Zhaoyi Yan;Yuchen Yuan;Wangmeng Zuo;Xiao Tan
Han Hu;Chengquan Zhang;Yuxuan Luo;Yuzhuo Wang
Xiang Long;Kaipeng Deng;Guanzhong Wang;Yang Zhang
Yongcheng Jing;Xiao Liu;Yukang Ding;Xinchao Wang
Chee Kheng Chng;Errui Ding;Jingtuo Liu;Dimosthenis Karatzas
Unknown
Unknown
Unknown
Manyu Zhu;Dongliang He;Xin Li;Chao Li
Kaiyu Yue;Ming Sun;Yuchen Yuan;Feng Zhou
Yipeng Sun;Dimosthenis Karatzas;Chee Seng Chan;Lianwen Jin
Di Hu;Rui Qian;Minyue Jiang;Xiao Tan
Liang Wu;Chengquan Zhang;Jiaming Liu;Junyu Han
Deli Yu;Xuan Li;Chengquan Zhang;Junyu Han
If you think any of the details on this page are incorrect, let us know.
Exploring online pathways in Computer Science can open doors for many students, regardless of academic background or budget. For those looking to gain practical skills in a short time, earning an associate degree online in Computer Science is a flexible starting point that can lead to entry-level tech roles or lay the foundation for further study.
If you’re aiming to advance your expertise, many of the most worthwhile masters degrees are now available online, providing specialized knowledge highly valued by employers. Finding the right program can also depend on cost, so you may want to consider cheapest online colleges that offer accredited Computer Science degrees without breaking the bank.
Worried about past academic performance? Many reputable institutions are also listed among the universities for low gpa, opening access to quality Computer Science education for a wider range of students. With so many flexible options, a rewarding tech career can start from anywhere.
Chinese Academy of Sciences
University of Massachusetts Chan Medical School
Sapienza University of Rome
Charité - University Medicine Berlin
Stony Brook University
China Agricultural University
University of Cambridge
University of Liège
University of Pennsylvania
University of Paris-Saclay
Shandong University of Technology
Technical University of Denmark
University of Freiburg
New Jersey Institute of Technology
Max Planck Society
George Mason University
