Recently, the team of Professor Yin Suocheng from the Laboratory of Pattern Recognition and Artificial Intelligence Technology Innovation at our university has proposed a method for detecting arbitrary shaped text based on the connection of text/text components, using deep graph convolutional neural network to perform deep relationship inference between components, to effectively learn and reason about the connection and semantic relationship between text/text components, and to detect arbitrary shaped text in complex scene image videos with high precision, and text detection and recognition in scene image videos are widely used in online education, product search, instant translation, and video scene understanding.
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), a top-level international conference on computer vision and pattern recognition, will be presented with Shixue Zhang, a 2018 MSc student from the Department of Computer Science and Technology in the School of Computer and Communication Engineering, as the first author, and pattern recognition and The paper "Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection" by Prof. Yin Suicheng, Director of the Artificial Intelligence Technology Innovation Lab, is accepted as a correspondence author. Oral paper, Shixue Zhang presented the paper at the conference.
(The paper can be downloaded by clicking on the "read the original" link.)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), the top international conference in the field of computer vision and pattern recognition, is recommended by the Chinese Computer Federation (CCF) as a Class A conference. According to the latest Google Scholar Citation (July 2020), CVPR is ranked No. 5 overall, No. 1 in both computer science and artificial intelligence, and has an H5-index of 299.
Zhang Shixue is a 2018 bachelor's degree graduate of Internet of Things from Planning and Communications College, and he was nominated to study for a master's degree in Computer Science and Technology in the same year by the team of Prof. Yin Xuecheng of the College's Pattern Recognition and Artificial Intelligence Technology Innovation Lab. His research interests are pattern recognition and text recognition, and he has conducted more in-depth research in scene text detection and recognition since he entered the lab in his fourth year of study and research, and has achieved impressive results, publishing a CVPR 2020 Oral paper as the first author, and submitting a paper in IEEE Trans. Pattern Analysis and A Machine Intelligence (T-PAMI) paper.CVPR and T-PAMI are the top international conferences and international journals in the field of artificial intelligence, computer vision, and pattern recognition, respectively, and are also recommended by CCF as a Class A conference and journal.
"Read the original article" link.
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