【Team Name】
Pattern Recognition and Artificial Intelligence Technology Innovation Lab
【Team direction】
Pattern recognition, computer vision, machine learning, intelligent information retrieval and data mining, intelligent embedded hardware and software systems and AI chips
【Team Profile】
Beijing University of Science and Technology Pattern Recognition and Artificial Intelligence Technology Innovation Laboratory focuses on applied research and technology in the fields of pattern recognition and computer vision, machine learning, document analysis and recognition, information retrieval and recommendation systems, target detection and face recognition, artificial intelligence chips, etc. Innovation; developed internationally leading natural scene / network image / video text detection and recognition technology, internationally advanced social book search recommendation and medical document retrieval technology, domestic advanced target detection and face recognition technology; in the past 5 years, in China More than 50 relevant academic papers were published in international journals and conferences recommended by the Computer Society. In-depth cooperative research and innovative applications.
【team member】
Laboratory Director: Professor Yin Xucheng (http://prir.ustb.edu.cn/yin/)
Laboratory teachers: Associate Professor Wang Zhiming, Associate Professor Zhou Fang, Associate Professor Zhu Chao,
Dr. Su Ya, Dr. Tian Shu, Dr. Yang Chun
【Outstanding results】
The laboratory has won eight championships in the Robust Reading Competition in the International Document Analysis and Recognition Conference for three consecutive years (2013, 2015 and 2017); in 2013, at the 12th International Document Analysis and Recognition Conference in Washington, USA Won the "Web Picture Text Detection" and "Natural Scene Text Detection" championships, which is the first time that Chinese research institutions have won this championship; in 2015, in the 13th International Document Analysis and Recognition Conference held in Nancy, France, again won the "network The winners of "End to End Text Recognition in Pictures" and "End to End Text Recognition in Natural Scenes" are also the only Chinese teams to win the championship; in 2017, they were again awarded at the 14th International Document Analysis and Recognition Conference in Kyoto, Japan Champion of "End-to-End Text Recognition for Large-Scale Real Scenes". At the same time, on the international information retrieval technology evaluation public platform CLEF / INEX, it won the first place in the evaluation performance of multiple social book search and recommendation (CLEF / INEX 2014/2016 Social Book Search Suggestion Task); four consecutive years (2015, 2016, 2017 and 2018) won many first prizes in the Biomedical Semantic QA unit of the international biomedical semantic retrieval and question answering technology challenge platform BioASQ Challenge.
【Contact person and contact information】
Yin Xucheng
xuchengyin AT ustb.edu.cn