Xiaobai Li

All about the FACE

Dr. Xiaobai Li

Xiaobai Li

PhD

Dr.
Computer Science

19 peer reviewed publications in international journals. The publications have been cited 913 times, of which the most cited publication accounts for 191 citations. The author has a h-index of 13.00. (https://scholar.google.com)

Biography

Dr. Xiaobai Li received M.Sc from Chinese Academy of Science, China, majored in Cognitive Neuroscience. Her master's research work was about human's visual cognition of faces, and prosopagnosia (aka face-blindness).

She received Ph.D. from University of Oulu, Finland, majored in Computer Science. Her doctoral research work was about training computer algorithms to read subtle information from the face, including micro-expressions and the heart rate. 

Dr. Xiaobai Li is currently working as a post-doc in CMVS.

Research interests

  • affective computing
  • micro-expression recognition
  • remote heart rate measurement

Research groups

  • Center for Machine Vision and Signal Analysis

Selected publications

  • Li, Xiaobai; Hong, Xiaopeng; Moilanen, Antti; Huang, Xiaohua; Pfister, Tomas; Zhao, Guoying; Pietikäinen, Matti (2018) Towards Reading Hidden Emotions : A Comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods. - IEEE Transactions on Affective Computing Early, Early . [Original] [Self-archived]
  • Li, Xiobai; Chen, Jie; Zhao, Guoying; Pietikäinen, Matti (2014) Remote heart rate measurement from face videos under realistic situations. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Ei sarjaa/No series. IEEE. 4265-4271
  • Li, Xiaobai; Pfister, Tomas; Huang, Xiaohua; Zhao, Guoying; Pietikäinen, Matti (2013) A spontaneous micro facial expression database: inducement, collection and baseline. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG). -, IEEE. 1-6
  • Pfister T, Li X, Zhao G & Pietikäinen M (2011) Recognising spontaneous facial micro-expressions. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2011 IEEE International Conference on Computer Vision (ICCV). IEEE. 1449-1456
  • Yan, Wen-Jing; Li, Xiaobai; Wang, Su-Jing; Zhao, Guoying; Liu, Yong-Jin; Chen, Yu-Hsin; Fu, Xiaolan (2014) CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation. - PLoS One 9 (1), e86041 . [Original]
  • Li, Xiaobai; Komulainen, Jukka; Zhao, Guoying; Yuen, Pong-chi; Pietikäinen, Matti (2017) Generalized face anti-spoofing by detection pulse from face videos. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 Proceedings of 23rd International conference on Pattern Recognition (ICPR 2016). Ei sarjaa/No series. 4244-4249. [Original]
  • Li, Xiaobai (2017) Reading subtle information from human faces. - Acta Universitatis Ouluensis. Series C, Technica 622. Oulu. Artikkeliväitöskirja. 100. [Original]
  • Wang, Su-Jing; Yan, Wen-Jing; Li, Xiaobai; Zhao, Guoying; Zhou, Chun-Guang; Fu, Xiaolan; Yang, Minghao; Tao, Jianhua (2015) Micro-Expression Recognition Using Color Spaces. - IEEE transactions on image processing 24 (12), 6034-6047 . [Original]
  • Huang, Xiaohua; Kortelainen, Jukka; Zhao, Guoying; Li, Xiaobai; Moilanen, Antti; Seppänen, Tapio; Pietikäinen, Matti (2016) Multi-modal emotion analysis from facial expressions and electroencephalogram. - Computer vision and image understanding 147, 114-124 . [Original]
  • Pfister T, Li X, Zhao G & Pietikäinen M (2011) Differentiating spontaneous from posed faical expressions within a generic facial expression recognition framework.. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). -, IEEE. 868-875

Research visits

  • Visit to Oulu University Hospital
    14.8.2017

    Data collection from (Caucasian) atrial fibrillation patients for CAVA project, the aim is to study the possibility of conducting remote HRV analysis from facial videos to detect potential AF Symptom.

  • Visit to Beijing Hospital
    26.10.2017 to 6.2.2018

    Data collection from (Asian) atrial fibrillation patients for CAVA project, the aim is to study the possibility to conduct remote HRV analysis from facial videos to detect potential AF Symptom.