Guoying Zhao is currently an Academy Professor with Academy Finland and with the Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland, and visiting professor with Aalto University and Stanford University. She has been a full professor (tenured, from 2017) with CMVS, where she was a senior researcher (2005-2007), Academy postdoctoral researcher (2008-2011), Academy research fellow (2011-2017) and Associate Professor (tenure track, 2014-2017). She received the Ph.D. degree in computer science from the Chinese Academy of Sciences, Beijing, China, in 2005.  She got the Academy Postdoctoral position in 2007, was selected in 2011 to the highly competitive Academy Research Fellow position, in 2020 selected to Prestigious Academy Professor position, in 2022 elected to a member of Finnish Academy of Sciences and Letters and in 2023 elected to a member of Academia Europaea. She has authored or co-authored more than 330 papers in journals and conferences, and has served as a reviewer for many journals and conferences. Her papers have currently over 27500 citations in Google Scholar (h-index 80). She is tutorial chair for ICPR 2024, panel chair for FG 2023, and publicity chair for SCIA 2023. She was general chair of  Arctic AI days 2022, International Conference on Image Processing and Media Computing 2022 (ICIPMC 2022) and ICBEA (2019, 2020), co-program chair of ACM International Conference on Multimodal Interaction 2021 (ICMI), co-chair for Late Breaking Results of ICMI 2019, co-publicity chair for FG 2018, has served as area chairs for several conferences and is/was associate editor for Pattern Recognition, IEEE Trans. on Multimedia, IEEE Trans. on Circuits and Systems for Video Technology, Image and Vision Computing, Frontiers in Psychology, Journal of Electronic Imaging, and International Journal of Network Dynamics and Intelligence Journals. She has lectured tutorials at FG 2018, SCIA 2013, ICCV 2009 and ICPR 2006, and authored/edited three books and nine special issues in journals. Dr. Zhao was a Co-Chair of 23 International Workshops / special sessions in top venues, such as ICCV, CVPR, ECCV, ACCV and FG. Her students and researchers are frequent recipients of very prestigious and highly competitive positions and fellowships, such as professors/associate professors/assistant professors, Academy of Finland Research Fellow, Academy of Finland Postdoc positions, the Nokia Scholarship, Endeavour Research Fellowship, Tauno Tönning Research funding, Kauta Foundation grant and Jorma Ollila grant. She is Fellow of IEEE, IAPR, ELLIS and AAIA. Her current research interests include image and video representation, facial expression and micro-expression recognition, human motion analysis, remote physiological signal measure and multi-modal learning. Her research has been reported by Finnish TV programs, newspapers, Technology Discovery TV, MIT Technology Review, etc.

Address:

Center for Machine Vision and Signal Analysis,
P.O.Box 4500 FI-90014 University of Oulu, Finland.

Office:

TS302

Phone Number: +358 294487564
E_mail:

firstname.lastname(at)oulu.fi

Research Interests: Computer Vision, Pattern Recognition, Affective Computing, Digital image & video processing, Human motion analysis, Virtual Reality, Biometrics, etc.
Google Scholar http://scholar.google.fi/citations?user=hzywrFMAAAAJ

NEWS:

2024.01: Dr. Haoyu Chen will start as a (tenure track) assistant professor in CMVS, University of Oulu, Finland.

2023.12: Dr. Qianru Xu awarded Säätiöiden post doc -pooli Grant "Project aurora: unraveling sundown syndrome in the arctic region", supported by the Finnish Cultural Foundation for two years.

2023.11.09: Dr. Wei Peng¡¯s dissertation titled ¡°Automatic neural network learning for human behavior understanding¡± awarded Finnish AI Dissertation Award 2022.

2023.09.26: I gave a invited keynote titled "What can machines read from human faces?" in IEEE International Joint Conference on Biometrics (IJCB 2023) held in Sep. 25-28 in Ljubljana, Slovenia.

2023.05: Dr. Qing Liu awarded Academy research fellow position for four years (2023 Sep. to 2027 Aug.) for project "Towards reading retinal fundus images for real-world clinical applications".

2023.04: Dr. Yang Liu awarded two year grant from Finnish Culture Foundation (The North Ostrobothnia Regional Fund) for Postdoctoral Research in the field of Natural Sciences with the topic "Towards Crowdsensing Facial Affect Encoder for Trustworthy Mental Wellbeing: A study of Workplace Pain Detection".

2023.03: Call for participation and submissions: 1st Workshop & Challenge on Micro-gesture Analysis for Hidden Emotion understanding (MiGA) with IJCAI 2023.

2021.06: Mr. Muzammil Behzad recently won the Tauno Tönning Foundation Grant.

2021.03: The 2nd Multimodal Sentiment Analysis Challenge: https://www.muse-challenge.org/muse2021, with ACM MM 2021. Welcome to participate!

2021.03: IEEE Finland Section best student conference paper award 2020, for our ICCV 2019 paper "Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao. Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement. ICCV 2019."

2020.10: Mr. Muzammil Behzad won the three minutes PhD thesis competition organized by ICIP2020: https://2020.ieeeicip.org/3-minute-thesis-competition/.

2020.08: We have got the 2nd Place on Action Recognition Track of ECCV 2020 VIPriors Challenges (with accuracy of 88.31%). More details can be found here.

2020.08: Dr. Xiaobai Li has been selected to Assistant Professor (Tenure Track) position in CMVS, University of Oulu.

2020.07: Dr. Jingang Shi has been appointed Associate Professor position in Xi'an Jiaotong University, China.

2020.06: We have won the first place in the ChaLearn multi-modal face anti-spoofing attack detection challenge @ CVPR 2020, and the second place in the ChaLearn single-modal face anti-spoofing attack detection challenge @CVPR 2020. More details: https://sites.google.com/qq.com/face-anti-spoofing/winners-results/challengecvpr2020.

2020.06: Joint work with Learning & Educational Technology Research Unit (LET) accepted to top tier IEEE Transactions on Affective Computing: "Muhterem Dindar, Sanna Järvelä, Sara Ahola, Xiaohua Huang, Guoying Zhao. Leaders and followers identified by emotional mimicry during collaborative learning: A facial expression recognition study on emotional valence."

2020.06: Ms. Yingyue Xu has successfully defended her doctoral dissertation and obtained PhD degree.

2020.05: Dr. Xin Liu has been selected to highly competitive Academy of Finland postdoctoral position 2020.09-2023.08.

Downloading: Databases:

Databases:

  • OuluVS database: It includes the video and audio data for 20 subjects uttering ten phrases: Hello, Excuse me, I am sorry, Thank you, Good bye, See you, Nice to meet you, You are welcome, How are you, Have a good time. Each person spoke each phrase five times. There are also videos with head motion from front to left, from front to right, without utterance, five times for each person. The details and the baseline results for visual speech recognition can be found in:

Zhao G, Barnard M & Pietikäinen M (2009). Lipreading with local spatiotemporal descriptors. IEEE Transactions on Multimedia 11(7):1254-1265.

The database can be used, for example,  in studying the visual speech recognition (lipreading). If you want to get a copy, please contact me.

  • Oulu-CASIA NIR&VIS facial expression database: It contains videos with the six typical expressions  (happiness, sadness, surprise,
    anger, fear, disgust) from 80 subjects captured with two imaging systems, NIR (Near Infrared) and VIS (Visible light), under three different illumination conditions: normal indoor illumination, weak illumination (only computer display is on) and dark illumination (all lights are off). The database can be used, for example,  in studying the effects of illumination variations to facial expressions, cross-imaging-system facial expression recognition or face recognition.

This database has been released. If you are interested, please contact me.

  • SPOS database - spontaneous and posed facial expressions database

SPOS database includes spontaneous and posed facial expressions of 7 subjects. Emotional movie clips were shown to subjects to induce spontaneous facial expressions, which include six categories of basic emotions (happy, sad, anger, surprise, fear disgust). Subjects were also asked to pose the six kinds of facial expressions after watching movie clips. Data are recorded by both visual and near infer-red camera. All together 84 posed and 147 spontaneous facial expression clips were labeled out from the starting point to the apex.

So far, spontaneous and posed facial expressions are usually found in different databases. The difference between databases (different experimental setting and different participants) hindered researches which considered both spontaneous and posed facial expressions. This database offers data collected on the same participants and under the same recording condition, which can be used for comparing or distinguishing spontaneous and posed facial expressions