Yap-Peng Tan is affiliated with Nanyang Technological University in Singapore. Their research is primarily situated in the field of computer science, with a particular focus on computer vision and pattern recognition. Tan's work also spans artificial intelligence, media technology, safety, risk, reliability and quality, and radiology, nuclear medicine, and imaging.
Their scholarly output includes numerous recent papers across major venues, reflecting diverse topics within their field. Notable publications include:
Tan collaborates frequently with several co-authors, including:
The most frequent venues for Tan's publications include:
The main fields of study and research topics addressed in Tan's work cover:
In recognition of contributions to visual data analysis and processing, Yap-Peng Tan was awarded the IEEE Fellow distinction in 2019.
Junlin Hu;Jiwen Lu;Yap-Peng Tan
Jiwen Lu;Junlin Hu;Xiuzhuang Zhou;Yuanyuan Shang
Wenmiao Lu;Yap-Peng Tan
Jiwen Lu;Yap-Peng Tan;Gang Wang
Yap-Peng Tan;D.D. Saur;S.R. Kulkami;P.J. Ramadge
Junlin Hu;Jiwen Lu;Yap-Peng Tan
Junlin Hu;Jiwen Lu;Yap-Peng Tan;Jie Zhou
Jiwen Lu;Junlin Hu;Yap-Peng Tan
Nai-Xiang Lian;Lanlan Chang;Yap-Peng Tan;V. Zagorodnov
Junlin Hu;Jiwen Lu;Junsong Yuan;Yap-Peng Tan
Drew D. Saur;Yap-Peng Tan;Sanjeev R. Kulkarni;Peter J. Ramadge
Lanlan Chang;Yap-Peng Tan
Jiwen Lu;Yap-Peng Tan
Junlin Hu;Jiwen Lu;Yap-Peng Tan
Ji Tao;Mukherjee Turjo;Mun-Fei Wong;Mengdi Wang
Jiwen Lu;Yap-Peng Tan
Jingjing Meng;Hongxing Wang;Junsong Yuan;Yap-Peng Tan
Ci Wang;Lei Zhang;Yuwen He;Yap-Peng Tan
Yin Zhao;Zhenzhong Chen;Ce Zhu;Yap-Peng Tan
Renliang Weng;Jiwen Lu;Yap-Peng Tan
Jiwen Lu;Yap-Peng Tan;Gang Wang
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