Guoying Zhao

Emotion AI

Prof. Guoying ZHAO

Guoying Zhao

PhD

Professor
Affective Computing

245 peer reviewed publications in international journals. The publications have been cited 14726 times, of which the most cited publication accounts for 2621 citations. The author has a h-index of 55.00. (http://scholar.google.fi/citations?user=hzywrFMAAAAJ)

Biography

Guoying Zhao is IAPR (the International Association for Pattern Recognition) Fellow, and currently a (tenured) Full Professor with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland, from 2017, where she has been a senior researcher since 2005 and an Associate Professor since 2014. In 2020, she was selected for the prestigious post of Academy Professor with the Academy of Finland for 2021-2026. She is Co-Program chair of ICMI 2021 and Special Seesions/Panels chair for FG 2023. She was general chair for ICBEA (2019, 2020), Co-Chair for Late Breaking Restuls of ICMI 2019, and co-publicity chair for FG 2018. She has served as AE for PR, TCSVT and IVC journals and authored/edited three books and eight special issues in journals. Dr. Zhao was a co-chair for many international workshops at ICCV, CVPR, ECCV, ACCV and BMVC. Her students and researchers are frequent recipients of very prestigious and competitive fellowships, such as the Academy of Finland Postdoc position, the Nokia Scholarship, Endeavour Research Fellowship Her research has been reported by Finnish TV programs, newspapers and MIT Technology Review.

Research interests

  • Image and video description
  • Affective computing
  • Machine learning
  • Emotional artificial intelligence

2017.12 - present, Full Professor (Tenured), Center for Machine Vision and Signal Analysis, University of Oulu

2014.01 – 2017.11, Associate Professor (Tenure track), University of Oulu

2011.09 - 2017.01, Academy research fellow of the Academy of Finland

Scientific merits

Professional and community activities

  • Co-Program chair of ACM International Conference on Multimodal Interaction 2021 (ICMI).
  • Special Sessions/Panels Chairs for FG 2023.
  • General chair of 3rd International Conference on Biometric Engineering and Applications (ICBEA 2019), Stockholm, Sweden, 2019; 4th International Conference on Biometric Engineering and Applications (ICBEA 2020), Xi’an, China.
  • Late Breaking Results Co-Chairs of 21st ACM International Conference on Multimodal Interaction (ICMI 2019)
  • Co-publicity chair of Conference on Automatic Face and Gesture Recognition (FG 2018).
  • Co-chair of many international workshops in ICCV, CVPR, ECCV etc.
  • Co-organizer of Finnish DENIS summer school on Affective Computing (2016).
  • Editorial Board Member: Pattern Recognition (JUFO 3, 2016.08-); IEEE Transactions on Circuits and Systems for Video Technology (JUFO 2, 2018.01-2021.12); Image and Vision Computing Journal (JUFO 2, 2015.09-); Journal of Electronic Imaging (JUFO 1, 2017).
  • Area Chairs: for International Conference on Automatic Face and Gesture Recognition 2017; IEEE Winter Conference on Applications of Computer Vision 2017.
  • Pre-examiner and opponent of doctoral dissertations: 13 PhD theses for students from China, Finland, Sweden, France, UK, Singapore and Malaysia.
  • Grant proposal reviewer: for the National Science Center, Poland (2013); National Centre of Science and Technology Evaluation, Republic of Kazakhstan (2019); Medical Research Council of UK Research and Innovation (2019); Swiss National Science Foundatio
  • Guest editor for may special issues with PAMI, Trans. on Affective Computing, CVIU, IVC, etc.
  • Board member of Finnish AI society (FAIS, 2019-2021); of Scientific Board of Chinese Association of Science and Technology in Finland (CASTF); of Center for Machine Vision Research, University of Oulu, Finland, 2010-present.
  • Director of UOulu AI community (1.12.2018-).
  • Vice-cooridinator of special interest group on computer vision, Finnish center of artificial intelligence (02.2020-)
  • Scientific Advisors: Finnish Business Angels Network FiBAN; Webuust Oy
  • Advisory panel: for international workshop on “Facial Micro-Expression Grand Challenge (MEGC): Methods and Datasets” with FG 2018, FG 2019 and FG 2020.
  • FG 2018 tutorial: Guoying Zhao and Matti Pietikäinen: Reading Hidden Emotions From Micro-Expression Analysis. Xi’an, China.
  • SCIA 2013 tutorial: Matti Pietikäinen and Guoying Zhao: Image and video analysis with local binary pattern variants, June 17, Helsinki, Finland.
  • ICCV 2009 tutorial: Matti Pietikäinen and Guoying Zhao, Local texture descriptors in computer vision, 27th, Sep. 2009, Kyoto, Japan.
  • 18th ICPR 2006 Tutorials: Matti Pietikäinen, Guoying Zhao & Abdenour Hadid (University of Oulu, Finland), Local Binary Pattern Approach to Computer Vision. Aug. 20-24, 2006, Hongkong
  • Keynote talk “Towards reading hidden emotions: micro-expression analysis and heart rate estimation” in SIG 27 Conference, Nov. 29, 2016
  • Keynote talk “Facial Expression and Micro-Expression Analysis: Progress and Challenges” in ACCV workshop on Computer Vision for Affective Computing (CV4AC), Nov. 1, 2014
  • Lecturer for 521285S Affective Computing (5 ECTS), University of Oulu, 2014 – present.
  • Lecturer for 521493S Computer Graphics (7 ECTS/4 CU), University of Oulu, 2010 - present.
  • Co-organizer of Finnish DENIS summer school on Affective Computing (2016).
  • Keynote talk in 9th International Conference on Computing and Pattern Recognition (ICCPR 2020), Oct. 31, 2020
  • Keynote talk in IPM-AI Summer School 2020 (Aug. 22-26, 2020, http://cs.ipm.ac.ir/asoc2020/).
  • Keynote talk in 12th International Confernce on Bioinformatics and Biomedical Technology (ICBBT 2020), May 17, 2020.
  • Keynote talk in 3rd International Conference on Biometric Engineering and Applications (ICBEA 2019), May 30, 2019.
  • Keynote talk in 6th International Workshop on Context Based Affect Recognition (CBAR 2019) in conjunction with FG2019, May 14, 2019.
  • Keynote talk in International symposium on frontier technologies and medical imaging analysis, June 28, 2018, Central South University.
  • Keynote talk in First Workshop on Large-scale Emotion Recognition and Analysis in conjunction with FG2018, May 19, 2018.
  • Keynote talk in Facial Micro-Expression Grand Challenge (MEGC): Methods and Datasets in conjunction with FG2018, May 15, 2018
  • Keynote talk in SIG 27 Conference, Nov. 29, 2016
  • Keynote talk in ACCV workshop on Computer Vision for Affective Computing (CV4AC), Nov. 1, 2014
  • Book editor and author: Editor of Springer book: Machine Learning for Vision-based Motion Analysis, 2009; Editor of IGI global book: Machine Learning for Human Motion Analysis: Theory and Practice, 2009; Author of Springer book: Computer Vision Using LBP.

Research groups

  • Professor and board member, Center for Machine Vision and Signal Analysis

Selected publications

  • Yu, Zitong; Qin, Yunxiao ; Xu, Xiaqing; Zhao, Chenxu; Wang, Zezheng; Lei, Zhen; Zhao, Guoying (2020) Auto-Fas: Searching Lightweight Networks for Face Anti-Spoofing. (Artikkeli tieteellisessä konferenssijulkaisussa). - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. 996-1000. [Original] [Self-archived]
  • Liu, Xin; Shi, Henglin; Hong, Xiaopeng; Chen, Haoyu; Tao, Dacheng; Zhao, Guoying (2020) 3D Skeletal Gesture Recognition via Hidden States Exploration. - IEEE transactions on image processing 29, 4583-4597 . [Original] [Self-archived]
  • Yu, Zitong; Li, Xiaobai; Niu, Xuesong; Shi, Jingang; Zhao, Guoying (2020) AutoHR: A Strong End-to-End Baseline for Remote Heart Rate Measurement With Neural Searching. - IEEE signal processing letters 27, 1245-1249 . [Original] [Self-archived]
  • Huang, Xiaohua; Dhall, Abhinav; Goecke, Roland; Pietikäinen, Matti K.; Zhao, Guoying (2019) Analyzing group-level emotion with global alignment kernel based approach. - IEEE transactions on affective computing [Epub ahead of print 14 Nov 2019], 1-16 . [Original] [Self-archived]
  • Xu, Yingyue; Xu, Dan; Hong, Xiaopeng; Ouyang, Wanli; Ji, Rongrong; Xu, Min; Zhao, Guoying (2020) Structured modeling of joint deep feature and prediction refinement for salient object detection. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2019 International Conference on Computer Vision, 27 October - 2 November 2019, Seoul, Korea : proceedings. Proceedings : IEEE International Conference on Computer Vision. 3788-3797. [Original] [Self-archived]
  • Zhao, Guoying; Li, Xiaobai (2019) Automatic Micro-Expression Analysis: Open Challenges. - Frontiers in psychology 10, 1833 . [Original] [Self-archived]
  • Fan, Y.; Sun, Z.; Zhao, G. (2020) A coarse-to-fine framework for multiple pedestrian crossing detection. - Sensors 20 (15), 4144 . [Original] [Self-archived]
  • Shi, Jingang; Alikhani, Iman; Li, Xiaobai; Yu, Zitong; Seppänen, Tapio; Zhao, Guoying (2019) Atrial Fibrillation Detection from Face Videos by Fusing Subtle Variations. - IEEE transactions on circuits and systems for video technology 2020; 30 (8), 2781-2795 . [Original] [Self-archived]
  • Kollias, D.; Tzirakis, P.; Nicolaou, M.A.; Papaioannou, A.; Zhao, G.; Schuller, B.; Kotsia, I.; Zafeiriou, S. (2019) Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. - International journal of computer vision 127 (6-7), 907-929 . [Original] [Self-archived]
  • Hong, X.; Peng, W.; Harandi, M.; Zhou, Z.; Pietikäinen, M.; Zhao, G. (2019) Characterizing subtle facial movements via Riemannian manifold. - ACM transactions on multimedia computing, communications, and applications 15 (3s), 94 . [Original] [Self-archived]
  • Shi, Jingang; Zhao, Guoying (2019) Face Hallucination via Coarse-to-Fine Recursive Kernel Regression Structure. - IEEE transactions on multimedia 21 (9), 2223-2236 . [Original] [Self-archived]
  • Xu, Yingyue; Hong, Xiaopeng; Porikli, Fatih; Liu, Xin; Chen, Jie; Zhao, Guoying (2019) Saliency Integration: An Arbitrator Model. - IEEE transactions on multimedia 21 (1), 98-113 . [Original] [Self-archived]
  • Liu, Li; Chen, Jie; Fieguth, Paul; Zhao, Guoying; Chellappa, Rama; Pietikäinen, Matti (2019) From BoW to CNN: Two Decades of Texture Representation for Texture Classification. - International journal of computer vision 127 (1), 74-109 . [Original] [Self-archived]
  • Liu, Li; Chen, Jie; Zhao, Guoying; Fieguth, Paul; Chen, Xilin; Pietikäinen, Matti (2019) Texture Classification in Extreme Scale Variations Using GANet. - IEEE transactions on image processing 28 (8), 3910-3922 . [Original] [Self-archived]
  • Liu, Qing; Hong, Xiaopeng; Li, Shuo; Chen, Zailiang; Zhao, Guoying; Zou, Beiji (2019) A spatial-aware joint optic disc and cup segmentation method. - Neurocomputing 359, 285-297 . [Original] [Self-archived]
  • Xia, Zhaoqiang; Hong, Xiaopeng; Gao, Xingyu; Feng, Xiaoyi; Zhao, Guoying (2019) Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions. - IEEE transactions on multimedia 22 (3), 626-640 . [Original] [Self-archived]
  • Zhang, Yanliang; Li, Xingwang; Zhao, Guoying; Lu, Bing; Cavalcante, Charles C. (2020) Signal Reconstruction of Compressed Sensing Based on Alternating Direction Method of Multipliers. - Circuits systems and signal processing 39 (1), 307–323 . [Original] [Self-archived]
  • Zou, Beiji; Liu, Qing; Yue, Kejuan; Chen, Zailiang; Chen, Jie; Zhao, Guoying (2019) Saliency-Based Segmentation of Optic Disc in Retinal Images. - Chinese journal of electronics 28 (1), 71-75 . [Original] [Self-archived]
  • Yu, Zitong; Li, Xiaobai; Zhao, Guoying (2019) Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks. (Artikkeli ammatillisessa konferenssijulkaisussa). - 30 th British Machine Visison Conference : BMVC 2019. 9th-12th September 2019, Cardiff, UK. Ei sarjaa/No series, The British Machine Vision Conference (BMVC). 1-12. [Original] [Self-archived]
  • Behzad, Muzammil; Vo, Nhat; Li, Xiaobai; Zhao, Guoying (2019) Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network. (Artikkeli ammatillisessa konferenssijulkaisussa). - The British Machine Vision Conference 2019 (BMVC) 9th-12th September 2019, Cardiff UK. Ei sarjaa/No series. 1-12. [Original] [Self-archived]
  • Peng, W.; Hong, X.; Xu, Y.; Zhao, G. (2019) A boost in revealing subtle facial expressions: A consolidated Eulerian framework. (Artikkeli tieteellisessä konferenssijulkaisussa). - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019, 14-18 May 2019, Lille, France. Ei sarjaa/No series, 8756541. [Original] [Self-archived]
  • Chen, Haoyu; Liu, Xin; Li, Xiaobai; Shi, Henglin; Zhao, Guoying (2019) Analyze spontaneous gestures for emotional stress state recognition: A micro-gesture dataset and analysis with deep learning. (Artikkeli tieteellisessä konferenssijulkaisussa). - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019, 14-18 May 2019, Lille, France. Ei sarjaa/No series. 1-8, 8756513. [Original] [Self-archived]
  • Peng, Wei; Hong, Xiaopeng; Zhao, Guoying (2019) Video Action Recognition Via Neural Architecture Searching. (Artikkeli tieteellisessä konferenssijulkaisussa). - 26th IEEE International Conference on Image Processing (ICIP), 22-25 Sept. 2019, Taipei, Taiwan. Proceedings : International Conference on Image Processing. 11-15. [Original] [Self-archived]
  • Liu, X.; Shi, H.; Hong, X.; Chen, H.; Tao, D.; Zhao, G. (2019) Hidden states exploration for 3D skeleton-based gesture recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - 19th IEEE Winter Conference on Applications of Computer Vision, WACV 2019. IEEE Winter Conference on Applications of Computer Vision. 1846-1855, 8659023. [Original] [Self-archived]
  • Shi, Jingang; Liu, Xin; Zong, Yuan; Qi, Chun; Zhao, Guoying (2018) Hallucinating Face Image by Regularization Models in High-Resolution Feature Space. - IEEE transactions on image processing 27 (6), 2980-2995 . [Original]
  • Zong, Yuan; Zheng, Wenming; Huang, Xiaohua; Shi, Jingang; Cui, Zhen; Zhao, Guoying (2018) Domain Regeneration for Cross-Database Micro-Expression Recognition. - IEEE transactions on image processing 27 (5), 2484-2498 . [Original]
  • Xu, Yingyue; Hong, Xiaopeng; Liu, Xin; Zhao, Guoying (2018) Saliency detection via bi-directional propagation. - Journal of Visual Communication and Image Representation 53, 113-121 . [Original]
  • Zong, Yuan; Huang, Xiaohua; Zheng, Wenming; Cui, Zhen; Zhao, Guoying (2018) Learning From Hierarchical Spatiotemporal Descriptors for Micro-Expression Recognition. - IEEE Transactions on Multimedia 20 (11), 3160-3172 . [Original] [Self-archived]
  • Fan, Chunxiao; Tian, Lei; Ming, Yue; Hong, Xiaopeng; Zhao, Guoying; Pietikäinen, Matti (2018) Sparse projections matrix binary descriptors for face recognition. - Neurocomputing 297, 8-21 . [Original]
  • Fan, Chunxiao; Hong, Xiaopeng; Tian, Lei; Ming, Yue; Pietikäinen, Matti; Zhao, Guoying (2018) PCANet-II: When PCANet Meets the Second Order Pooling. - Ieice transactions on information and systems E101D (8), 2159-2162 . [Original]
  • 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]
  • Liu, Xin; Yao, Jiawen; Hong, Xiaopeng; Huang, Xiaohua; Zhou, Ziheng; Qi, Chun; Zhao, Guoying (2018) Background Subtraction using Spatio-Temporal Group Sparsity Recovery. - IEEE Transactions on Circuits ansd Systems for Video Technology pp (99), 1-1 . [Original]
  • Huang, Xiaohua; Wang, Su-jing; Liu, Xin; Zhao, Guoying; Feng, Xiaoyi; Pietikäinen, Matti (2018) Discriminative spatiotemporal local binary pattern with revisited integral projection for spontaneous facial micro-expression recognition. - IEEE Transactions on Affective Computing early access, early access . [Original]
  • Shi, Henglin; Liu, Xin; Hong, Xiaopeng; Zhao, Guoying (2019) Bidirectional Long Short-Term Memory Variational Autoencoder. (Artikkeli ammatillisessa konferenssijulkaisussa). - Proceedings of the British Machine Vision Conference 2018 (BMVC). 3rd - 6th September, Newcastle UK. Ei sarjaa/No series. 1-11. [Original] [Self-archived]
  • Li, X.; Alikhani, I.; Shi, J.; Seppanen, T.; Junttila, J.; Majamaa-Voltti, K.; Tulppo, M.; Zhao, G. (2018) The OBF Database: A large face video database for remote physiological signal measurement and atrial fibrillation detection. (Artikkeli tieteellisessä konferenssijulkaisussa). - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018. Ei sarjaa/No series. 242-249. [Original]
  • Chen, Haoyu; Liu, Xin; Zhao,Guoying (2018) Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2018 24th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition. 3378-3383. [Original]
  • Yang, Ruijing; Hong, Xiaopeng; Peng, Jinye; Feng, Xiaoyi; Zhao, Guoying (2018) Incorporating high-level and low-level cues for pain intensity estimation. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2018 24th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition. 3495-3500. [Original]
  • Tian, Lei; Hong, Xiaopeng; Fan, Chunxiao; Ming, Yue; Pietikäinen, Matti; Zhao, Guoying (2018) Sparse Tikhonov-Regularized Hashing for Multi-Modal Learning. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2018 25th IEEE International Conference on Image Processing (ICIP). Proceedings : International Conference on Image Processing. 3793-3797. [Original]
  • Li, Yante; Huang, Xiaohua; Zhao, Guoying (2018) Can Micro-Expression be Recognized Based on Single Apex Frame?. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2018 25th IEEE International Conference on Image Processing (ICIP). Proceedings : International Conference on Image Processing. 3094-3098. [Original]
  • Liu, Na; Zhang, Baofeng; Zong, Yuan; Liu, Li; Chen, Jie; Zhao, Guoying; Zhu, Junchao (2018) Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. NEW YORK. 1897-1901. [Original]
  • Liu, Na; Zong, Yuan; Zhang, Baofeng; Liu, Li; Chen, Jie; Zhao, Guoying; Zhu, Junchao (2018) Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. NEW YORK. 5144-5148. [Original]
  • Qi, Xianbiao; Zhao, Guoying; Li, Chun-Guang; Guo, Jun; Pietikäinen, Matti (2017) HEp-2 Cell Classification via Combining Multiresolution Co-Occurrence Texture and Large Region Shape Information. - IEEE Journal of Biomedical and Health Informatics 21 (2), 429-440 . [Original]
  • Liu, Qing; Hong, Xiaopeng; Zou, Beiji; Chen, Jie; Chen, Zailiang; Zhao, Guoying (2017) Hierarchical Contour Closure-Based Holistic Salient Object Detection. - IEEE transactions on image processing 26 (9), 4537-4552 . [Original]
  • Chen, Jie; Patel, Vishal M.; Liu, Li; Kellokumpu, Vili; Zhao, Guoying; Pietikäinen, Matti; Chellappa, Rama (2017) Robust local features for remote face recognition. - Image and Vision Computing 64, 34-46 . [Original]
  • Ke, Wei; Chen, Jia; Jiao, Jianbin; Zhao, Guoying; Ye, Qixiang (2017) SRN: Side-output Residual Network for Object Symmetry Detection in the Wild. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, Hawaii 21-26 July 2017. Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 302-310. [Original]
  • Zong, Yuan; Huang, Xiaohua; Zheng, Wenming; Cui, Zhen; Zhao, Guoying (2017) Learning a target sample re-generator for cross/database micro/expression recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - MM '17 Proceedings of the 2017 ACM on Multimedia Conference : Mountain View, California, USA - October 23 - 27, 2017. Ei sarjaa/No series. 872-890. [Original] [Self-archived]
  • Tran, Thuong-Khanh; Hong, Xiaopeng; Zhao, Guoying (2017) Sliding window based micro-expression spotting : a benchmark. (Artikkeli tieteellisessä konferenssijulkaisussa). - Advanced concepts for intelligent vision systems : 18th International Conference, ACIVS 2017, Antwerp, Belgium, September 18-21, 2017, Proceedings. Blanc-Talon, Jacques; Penne, Rudi; Philips, Wilfried; Popescu, Dan; Scheunders, Paul. Lecture Notes in Computer Science 10617. Cham. 542-553. [Original] [Self-archived]
  • Liu, Qing; Zou, Beiji; Chen, Jie; Ke, Wei; Yue, Kejun; Chen, Zailiang; Zhao, Guoying (2017) A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images. - Computerized medical imaging and graphics : the international journal on imaging and image-computing in all medical specialties 55, 78-86 . [Original]
  • Dimitrios, Kollias; Nicolaou, Mihalis A.; Kotsia, Irene; Zhao, Guoying; Zafeiriou, Stefanos (2017) Recognition of affect in the wild using deep neural networks. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Honolulu, Hawaii 21-26 July 2017. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops. 1972-1979. [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]
  • Hong, Xiaopeng; Xu, Yingyue; Zhao, Guoying (2017) LBP-TOP: a Tensor Unfolding Revisit. (Artikkeli tieteellisessä konferenssijulkaisussa). - Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I. Chen, Chu-Song; Lu, Jiwen; Ma, Kai-Kuang. Lecture Notes in Computer Science 10116. Cham, Switzerland. 513-527. [Original]
  • Kellokumpu, Vili; Särkiniemi, Markus; Zhao, Guoying (2017) Affective Gait Recognition and Baseline Evaluation from Real World Samples. (Artikkeli tieteellisessä konferenssijulkaisussa). - Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I. Chen, Chu-Song;Lu, Jiwen; Ma, Kai-Kuang. Lecture Notes in Computer Science 10116. Cham, Switzerland. 567-575. [Original]
  • Saitoh, Takeshi; Zhou, Ziheng; Zhao, Guoying; Pietikainen, Matti (2017) Concatenated Frame Image based CNN for Visual Speech Recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II. Chen, Chu-Song; Lu, Jiwen; Ma, Kai-Kuang. Lecture Notes in Computer Science 10117. Cham, Switzerland. 277-289. [Original]
  • Guo, Yimo; Zhao, Guoying; Pietikäinen, Matti (2016) Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation. - IEEE transactions on image processing 25 (5), 1977-1992 . [Original]
  • Qi, Xianbiao; Zhao, Guoying; Chen, Jie; Pietikäinen, Matti (2016) Exploring illumination robust descriptors for human epithelial type 2 cell classification. - Pattern Recognition 60 (December), 420-429 . [Original]
  • Hong, Xiaopeng; Zhao, Guoying; Zafeiriou, Stefanos; Pantic, Maja; Pietikäinen, Matti (2016) Capturing correlations of local features for image representation. - Neurocomputing 184 (SI), 99-106 . [Original]
  • Qi, Xianbiao; Zhao, Guoying; Chen, Jie; Pietikäinen, Matti (2016) HEp-2 cell classification: The role of Gaussian Scale Space Theory as a pre-processing approach. - Pattern Recognition Letters 82, 1, 36-43 . [Original]
  • Huang, Xiaohua; Zhao, Guoying; Hong, Xiaopeng; Zheng, Wenming; Pietikäinen, Matti (2016) Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns. - Neurocomputing 175, 564-578 . [Original]
  • Qi, Xianbio; Zhao, Guoying; Shen, L; Li, Q.; Pietikäinen, Matti (2016) LOAD: Local orientation adaptive descriptor for texture and material classification. - Neurocomputing 184, 28-35 . [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]
  • Qi, Xianbio; Li, Chun-Huang; Zhao, Guoying; Hong, Xiaopeng; Pietikäinen, Matti (2016) Dynamic texture and scene classification by transferring deep image features. - Neurocomputing 171, 1230-1241 . [Original]
  • Wang, Hanjie; Chai, Xiujuan; Hong, Xiaopeng; Zhao, Guoying; Chen, Xilin (2016) Isolated Sign Language Recognition with Grassmann Covariance Matrices. - Acm transactions on accessible computing 8 (4), 14 . [Original]
  • Liu, Yong-Jin; Zhang, Jin-Kai; Yan, Wen-Jing; Wang, Su-Jing; Zhao, Guoying; Fu, Xiaolan (2016) A main directional mean optical flow feature for spontaneous micro-expression recognition. - IEEE Transactions on Affective Computing 7 (4), 299-310 . [Original]
  • Xia, Zhaoqiang; Feng, Xiaoyi; Peng, Jinye; Peng, Xianlin; Zhao, Guoying (2016) Spontaneous micro-expression spotting via geometric deformation modeling. - Computer vision and image understanding 147, 87-94 . [Original]
  • Wang, S.­J.; Yan, W.­J.; Sun, T.; Zhao, G.; Fu, X. (2016) Sparse tensor canonical correlation analysis for micro-expression recognition. - Neurocomputing 214 (-), 218-232 . [Original]
  • Chen, Jie; Lei, Zhen; Liu, Li; Zhao, Guoying; Pietikäinen, Matti (2016) RoLoD: Robust local descriptors for computer vision. - Neurocomputing 184, 1-2 . [Original]
  • Zafeiriou, Stefanos; Zhao, Guoying; Pietikäinen, Matti; Chellappa, Rama; Kotsia, Irene; Cohn, Jeffrey (2016) Editorial of special issue on spontaneous facial behaviour analysis. - Computer vision and image understanding 147, 50-51 . [Original]
  • Liu, Siqi; Yuen, Pong C.; Zhang, Shengping; Zhao, Guoying (2016) 3D Mask Face Anti-spoofing with Remote Photoplethysmography. (Artikkeli tieteellisessä konferenssijulkaisussa). - Computer Vision – ECCV 2016 : 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part VII. Leibe, B.; Matas, J.; Sebe, N.; Welling, M. Lecture Notes in Computer Science 9911. 85-100. [Original]
  • Devangini, Patel; Xiaopeng, Hong; Guoying, Zhao (2016) Selective deep features for micro-expression recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 Proceedings of 23rd Internaltional conference on Pattern Recognition (ICPR 2016). Ei sarjaa/No series. 2258-2263. [Original]
  • Zhou, Jing; Hong, Xiaopeng; Su, Fei; Zhao, Guoying (2016) Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1535-1543. [Original]
  • Zafeiriou, Stefanos; Papaioannou, Athanasios; Kotsia, Irene; Nicolaou, Mihalis; Zhao, Guoying. (2016) Facial Affect "in-the-wild": A survey and a new database. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops. 1487-1498. [Original]
  • Liu, Siqi; Yang, Baoyao; Yuen, Pong C.; Zhao, Guoying. (2016) A 3D Mask Face Anti-spoofing Database with Real World Variations. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops. 1551-1557. [Original]
  • Chen, Jie; Qi, Xianbiao; Tervonen, Osmo; Silven, Olli; Zhao, Guoying; Pietikäinen, Matti (2016) Thorax Disease Diagnosis Using Deep Convolutional Neural Network. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). Conference proceedings : IEEE Engineering in Medicine and Biology Annual Conference. 2287-2290. [Original]
  • Liu, Qing; Zou, Beiji; Chen, Jie; Chen, Zailiang; Zhu, Chengzhang; Yue, Kejuan; Zhao, Guoying (2016) Retinal vessel segmentation from simple to difficult. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop (OMIA 2016) Held in Conjunction with MICCAI 2016. Xinjian Chen; Mona K. Garvin; Jiang Liu; Emanuele Trucco; Yanwu Xu. Iowa research online, University of Iowa. 57-64. [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]
  • Qi, Xianbio; Shen, Linlin; Zhao, Guoying; Li, Qingquan; Pietikäinen, Matti (2015) Globally rotation invariant multi-scale co-occurrence local binary pattern. - Image and Vision Computing 43, 16-26 . [Original]
  • Huang, Xiaohua; Dhall, Abhinav; Zhao, Guoying; Goecke, Roland; Pietikäinen, Matti (2015) Riesz-based volume local binary pattern and a novel group expression model for group happiness intensity analysis. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the British Machine Vision Conference 2015 (BMVC). 7-10 September, Swansea UK. Xianghua Xie, Mark W. Jones, Gary K.L. Tam. Ei sarjaa/No series, BMVA Press. 34.1-34.13. [Original]
  • Zhou, Ziheng; Hong, Xiaopeng; Zhao, Guoying; Pietikäinen, Matti (2014) A compact representation of visual speech data using latent variables. - IEEE transactions on pattern analysis and machine intelligence 36 (1), 181-187
  • Hong, Xiaopeng; Zhao, Guoying; Pietikäinen, Matti; Chen, Xilin (2014) Combining LBP difference and feature correlation for texture description. - IEEE transactions on image processing 23 (6), 2557-2568
  • 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]
  • Liu, Li; Long, Yunli; Fieguth, Paul W.; Lao, Songyang; Zhao, Guoying (2014) BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification. - IEEE transactions on image processing 23 (7), 3071-3084
  • Lizarraga-Morales, Rocio A.; Guo, Yimo; Zhao, Guoying; Pietikäinen, Matti; Sanchez-Yanez, Raul E. (2014) Local spatiotemporal features for dynamic texture synthesis. - Eurasip journal on image and video processing 2014, 17 . [Original]
  • 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
  • Goncalves, Jorge; Pandab, Pratyush; Ferreira, Denzil; Ghahramani, Mohammad; Zhao, Guoying; Kostakos, Vassilis (2014) Projective testing of diurnal collective emotion. (Artikkeli tieteellisessä konferenssijulkaisussa). - UbiComp '14 Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Ei sarjaa/No series. New York, ACM. 487-497
  • Qiuhai, He; Xiaopeng, Hong; Guoying, Zhao; Xinyuan, Huang (2014) An immersive fire training system using kinect. (Artikkeli tieteellisessä konferenssijulkaisussa). - UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. Ei sarjaa/No series. 231-234
  • Zhou, Ziheng; Zhao, Guoying; Hong, Xiaopeng; Pietikäinen, Matti (2014) A review of recent advances in visual speech decoding. - Image and Vision Computing 32 (9), 590-605
  • Chen, Jie; Zhao, Guoying; Salo, Mikko; Rahtu, Esa; Pietikäinen, Matti (2013) Automatic dynamic texture segmentation using local descriptors and optical flow. - IEEE transactions on image processing 22 (1), 326-339, 1
  • Guo, Yimo; Zhao, Guoying; Zhou, Ziheng; Pietikäinen, Matti (2013) Video texture synthesis with multi-frame LBP-TOP and diffeomorphic growth model. - IEEE transactions on image processing 22 (10), 3879-3891
  • Pietikäinen, Matti; Turk, Matthew; Wang, Liang; Zhao, Guoying; Cheng, Li (2013) Special section on machine learning in motion analysis: new advances. - Image and Vision Computing 31 (6-7), 419-420
  • Zhao, Guoying; Pietikäinen, Matti (2013) Visual speaker identification with spatiotemporal directional features. (Artikkeli tieteellisessä konferenssijulkaisussa). - Image Analysis and Recognition: 10th International Conference, ICIAR 2013, Póvoa do Varzim, Portugal, June 26-28, 2013. Proceedings. Kamel, Mohamed; Campilho, Aurelio. Lecture Notes in Computer Science 7950, Springer. 1-10
  • Huang, Xiaohua; Zhao, Guoying; Pietikäinen,Matti (2013) Emotion recognition from facial images with arbitrary views.. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings British Machine Vision Conference 2013. Burghardt, Tilo; Mayol-Cuevas, Walterio; Mirmehdi, Majid, BMWA Press. 1-11
  • Chen, Jie; Kellokumpu, Vili; Zhao, Guoying; Pieitkäinen, Matti (2013) RLBP: Robust Local Binary Pattern. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings British Machine Vision Conference 2013. Burghardt, Tilo; Mayol-Cuevas, Walterio; Mirmehdi, Majid. Ei sarjaa/No series, BMWA Press. 1-10
  • Zhai, Yan; Zhao, Guoying; Alatalo, Toni; Heikkilä, Janne; Ojala, Timo; Huang, Xinyuan (2013) Gesture Interaction for wall-sized touchscreen display. (Artikkeli tieteellisessä konferenssijulkaisussa). - UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. ACM. New York. 175-178
  • Bayramoglu, Neslihan; Zhao, Guoying; Pietikäinen, Matti (2013) CS-3DLBP and geometry based person independent 3D facial action unit detection. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2013 International Conference on Biometrics (ICB). Fierrez, Julian; Kumar, Ajay; Vatsa, Mayank; Veldhuis, Raymond; Ortega-Garcia,Javier. Los Alamitos, California, IEEE. 1-6
  • Zhao, GY; Ahonen, T; Matas, J; Pietikainen, M. (2012) Rotation Invariant Image and Video Description with Local Binary Pattern Features. - IEEE transactions on image processing 21 (4), 1465-1477
  • Zhao G; Li X; Pietikäinen M; Huang X; Pfister T (2012) Computer vision research for expression and micro-expression recognition. - International Journal of Psychology 47 (Supplement 1), 145-145
  • Guo Y; Zhao G; Pietikäinen M (2012) Discriminative features for texture description. - Pattern Recognition 45, 3834-3843 . [Original]
  • Zhou Z; Zhao G; Guo Y; Pietikäinen M (2012) An image-based visual speech animation system. - IEEE Transactions on Circuits ansd Systems for Video Technology 22 (10), 1420-1432
  • Huang X; Zhao G; Pietikäinen M; Zheng W (2012) Spatiotemporal local monogenic binary patterns for facial expression recognition. - IEEE signal processing letters 19 (5), 243-246 . [Original]
  • Xiaohua Huang; Guoying Zhao; Wenming Zheng; Matti Pietikainen (2012) Towards a dynamic expression recognition system under facial occlusion. - Pattern Recognition Letters 16 (33), 2181-2191
  • Guo Yimo; Zhao Guoying; Pietikäinen Matti (2012) Dynamic facial expression recognition using longitudinal facial expression atlases. (Artikkeli tieteellisessä konferenssijulkaisussa). - Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II. Andrew Fitzgibbon; Svetlana Lazebnik; Pietro Perona; Yoichi Sato; Cordelia Schmid. Lecture Notes in Computer Science 7573. 631-644. [Original]
  • Hong Xiaopeng; Zhao Guoying; Pietikäinen Matti; Chen Xilin (2012) Combining local and global correlation for texture description. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012). November 11-15, 2012. Tsukuba, Japan. Hideo Saito; Yoshimitsu Aoki. 2756-2759
  • Jie Chen; Guoying Zhao; Matti Pietikäinen (2012) Unsupervised Dynamic Texture Segmentation Using Local Descriptors in Volumes. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012). November 11-15, 2012. Tsukuba, Japan. Hideo Saito; Yoshimitsu Aoki. 3622-3625
  • Guoying Zhao, Xiaohua Huang, Matti Taini, Stan Z. Li & Matti Pietikäinen (2011) Facial expression recognition from near-infrared videos. - Image and Vision Computing 29 (9), 607-619
  • Kellokumpu, Vili-Petteri; Zhao, Guoying; Pietikäinen Matti (2011) Recognition of human actions using texture descriptors. - Machine Vision and Applications 22 (5), 767-780 . [Original]
  • Zhou Z, Zhao G & Pietikäinen M (2011) Towards a practical lipreading system. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011). IEEE. 137-144. [Original]
  • 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
  • Guo Y, Zhao G & Pietikäinen M (2011) Texture classification using a linear configuration model based descriptor. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the British Machine Vision Conference 2011. Jesse Hoey, Stephen McKenna and Emanuele Trucco. 1-10, 119. [Original]
  • Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zhengguang Xu (2011) Descriptor Learning Based on Fisher Separation Criterion for Texture Classification. (Artikkeli tieteellisessä konferenssijulkaisussa). - Computer Vision – ACCV 2010 : 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III. Ron Kimmel; Reinhard Klette; Akihiro Sugimoto. Lecture Notes in Computer Science 6494. Berlin, Springer. 185-198. [Original]
  • Chen J, Shan S, He C, Zhao G, Pietikäinen M, Chen X & Gao W (2010) WLD: A robust local image descriptor. - IEEE transactions on pattern analysis and machine intelligence 32 (9), 1705-1720 . [Original]
  • Zhao G, Huang X, Gizatdinova Y & Pietikäinen M (2010) Combining dynamic texture and structural features for speaker identification. (Artikkeli tieteellisessä konferenssijulkaisussa). - ACM Multimedia 2010 Workshop on Multimedia in Forensics, Security and Intelligence. ACM. 93-98. [Original]
  • Zhou Z, Zhao G & Pietikäinen M (2010) Synthesizing a talking mouth. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing. ICVGIP, ACM. 216-223. [Original]
  • Huang X, Zhao G, Pietikäinen M & Zheng W (2010) Dynamic facial expression recognition using boosted component-based spatiotemporal features and multi-classifier fusion. Advanced Concepts for Intelligent Vision Systems. Blanc-Talon J, Bonde D, Philips W & Scheunders P. - Lecture Notes in Computer Science 6475, Springer. 312-322. [Original]
  • Liao S, Zhao G, Kellokumpu V, Pietikäinen M & Li SZ (2010) Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 1301-1306. [Original]
  • Zhou Z, Zhao G & Pietikäinen M (2010) Lipreading: A graph embedding approach. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. 20th International Conference on Pattern Recognition. IEEE. 523-526. [Original]
  • Zhao Guoying, Barnard Mark, Pietikäinen Matti (2009) Lipreading with local spatiotemporal descriptors. - IEEE Transactions on Multimedia 11 (7), 1254-1265 . [Original]
  • Zhao Guoying, Pietikäinen Matti (2009) Boosted multi-resolution spatiotemporal descriptors for facial expression recognition. - Pattern Recognition Letters 30 (12), 1117-1127 . [Original]
  • Chen Jie, Zhao Guoying & Pietikäinen Matti (2009) An improved local descriptor and threshold learning for unsupervised dynamic texture segmentation. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. 2nd IEEE International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA09), Kyoto, Japan. Matti Pietikäinen, Liang Wang, Li Cheng, Guoying Zhao. IEEE Proceedings Library of Congress: 2009903045. Kioto. 460-467
  • Guo Y, Zhao G, Chen J, Pietikäinen M & Xu Z (2009) Dynamic texture synthesis using a spatial temporal descriptor. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt. Ahmed Tewfik, Yassin Hasan (eds.). 2277-2280
  • Kellokumpu Vili-Petteri, Zhao Guoying, Pietikäinen Matti (2009) Dynamic texture based gait recognition.. (Artikkeli tieteellisessä konferenssijulkaisussa). - Advances in Biometrics, ICB 2009 Proceedings, Lecture Notes in Computer Science 5558. Tistarelli Massimo, Nixon Mark S, Springer Berlin / Heidelberg. 1000-1009. [Original]
  • Chen Jie, Yi Dong, Yang Jimei, Zhao Guoying, Li Stan Z & Pietikäinen Matti (2009) Learning mappings for face synthesis from near-infrared to visual light images. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009). IEEE Computer Society. IEEE Proceedings. Miami, IEEE. 156-163. [Original]
  • Kellokumpu, Vili; Zhao, Guoying & Pietikäinen, Matti (2008) Human activity recognition using a dynamic texture based method. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proc. The British Machine Vision Conference (BMVC 2008), Leeds, UK. Eds. N. R. AlpeshKumar & J. A. Helder. Portugali, INTICC. 1-10
  • Zhao, Guoying & Pietikäinen, Matti (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. - IEEE transactions on pattern analysis and machine intelligence 29 (6), 915-928
  • Zhao, Guoying; Cui, L. & Li, H. (2007) Gait recognition using fractal scale. - Pattern analysis & applications 10, 235-246
  • Zhao, Guoying; Cui, L.; Li, H. & Pietikäinen, Matti (2006) Gait recognition using fractal scale and wavelet moments. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 18th international conference on pattern recognition, 20-24 August 2006, Hong Kong. 1-4
  • Zhao, Guoying & Pietikäinen, Matti (2006) Local binary pattern descriptions for dynamic texture recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - Proceedings of the 18th international conference on pattern recognition, 20-24 August 2006, Hong Kong, IEEE. 1-4
  • Zhao, Guoying; Li, C. & Li, H. (2005) Combining wavelet velocity moments and reflective symmetry for gait recognition. (Artikkeli tieteellisessä konferenssijulkaisussa). - Advances in biometric person authentication, international workshop on biometric recognition systems, IWBRS 2005, Beijing, China, October 2005. Proceedings. Eds. S. Z. Li et al. Lecture Notes in Computer Science 3781. Berlin, Springer. 205-212
  • Zafeiriou, Stefanos; Kollias, Dimitrios; Nicolaou, Mihalis A.; Papaioannou, Athanasios; Zhao, Guoying; Kotsia, Irene (2017) Aff-Wild : Valence and Arousal ‘in-the-wild’ Challenge. (Artikkeli tieteellisessä konferenssijulkaisussa). - 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops : CVPRW 2017. O’Conner, Lisa. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops E6270. 1980-1987. [Original]

Thesis supervisions

Yingyue Xu (Doctoral Dissertation): Computational modeling for visual attention analysis. Jun. 2020
  • Visual attention, is a biologically inspired and psychologically driven mechanism that works by selecting visually
    relevant information and filtering out the redundant contents. This thesis is a thorough summary around computational modeling for
    visual attention analysis, consisting of published papers corresponding to doctoral research progress.

Xin Liu (Doctoral Dissertation): Human Motion Detection and Gesture Recognition Using Computer Vision Methods. Mar. 2019
  • Gestures are present in most daily human activities. This thesis contributes to the research on gesture analysis from
    two aspects, 1) Detection: human motion segmentation from video sequences, and 2) Understanding: gesture cues extraction and recognition.

Xiaobai Li (Doctoral Dissertation): Reading subtle information from human faces. Sep. 2017
  • The face plays an important role in our social interactions as it conveys rich sources of
    information. The thesis concerns using computer vision methodologies to analyse two kinds of subtle facial information that can hardly be
    perceived by naked eyes: the micro-expression (ME), and the heart rate (HR).

Xiaohua Huang (Doctoral Dissertation): Methods for facial expression recognition with applications in challenging situations. Dec. 2014
  • In recent years, facial expression recognition has become a useful scheme for computers
    to affectively understand the emotional state of human beings. This thesis contributes to the research
    and development of facial expression recognition systems from the above two aspects.

Yimo Guo (Doctoral Dissertation): Image and video analysis by local descriptors and deformable image registration. Jun. 2013
  • In the first part of this work, two image description methods are presented to provide discriminative representations for image classification. In the second part, based on static image description and deformable image registration, video analysis is studied for the applications of dynamic texture description, synthesis and recognition.

Tuomas Varanka: Master thesis (2020): Facial Micro-Expression Recognition with Noisy Labels.
  • In this thesis, we explore new methods taking noisy labels into special account
    in an attempt to solve the problem. We propose a simple, yet efficient label
    refurbishing method and a data cleaning method for handling noisy labels. We
    show through both quantitative and qualitative analysis the effectiveness of the
    methods for detecting noisy samples.

Hao Ban: Master thesis (2020): Raw Image Burst Based Super-Resolution Algorithm for Handheld Cameras.
  • With the development of photography technology, how to achieve high-quality imaging through convenient handheld devices has attracted more attention. The raw image based super-resolution problem is combined with the demosaicing problem to provide better color performance and image details.

Bofan Lin: Master thesis (2019): Face Liveness Detection by rPPG Features and Contextual Patch- Based CNN.
  • Face anti-spoofing plays a vital role in security systems including face payment
    systems and face recognition systems. We propose a generalized method exploiting both rPPG and texture features for face antispoofing
    task.

Radouane Kaddari: Master thesis (2019): Action detection and recognition using deep neural networks
  • Action detection and recognition in videos has become an attractive
    topic in computer vision area. In this thesis, we discuss
    different approaches to detect and recognize actions inside videos using
    deep neural networks.

Hamza Zair: Master thesis (2019): Collision warning design in automotive head-up display.
  • In this thesis work, we introduce three different Forward Collision Warning (FCW) designs: static,
    animated and 3D animated warnings.

Jiawei Zhang: Master thesis (2018): An Expandable System for Collection, Detection and Recognition of Human Body Gesture
  • We setup a data collecting system with Kinect camera to append five more gesture categories with complementary samples in the same format to ChaLearn Looking at People dataset. A deep learning approach is developped to detect and classify the samples with Deep Belief Network (DBN) and the Viterbi algorithm with only the skeleton data as input.

Haoyu Chen: Master thesis (2017): A Preliminary Study of Micro-Gesture: Dataset Collection and Analysis with Multi-Modal Dynamic Networks
  • A preliminary exploration of Micro-Gesture is made in this thesis. By collecting recorded sequences of body gestures in a spontaneous state during games, a micro-gesture dataset is built through Kinect V2. Implementations of two sets of neural network architectures are achieved for micro-gestures segmentation and recognition task.

Niloufar Zebarjadi: Master thesis (2016): Static and Dynamic Approaches for Pain Detection and Pain Intensity Estimating Using Facial Expressions
  • In this thesis, a new dataset of facial expressions of patients with lower back pains is collected and annotated. Both static features: well-known LBP, and Dense SIFT, and dynamic features: LBP-TOP and 3D-SIFT, are extracted. Experiments of pain detection and pain intensity estimation are carried out and the results are compared and analyzed.

Yingyue Xu: Master thesis (2015): A Task-driven Eye Tracking Dataset For Visual Attention Analysis
  • In this thesis, we design and establish a new task-driven eye tracking dataset of 47 subjects. Moreover, we provide baseline results by evaluating popular saliency models. Furthermore, we hold discussions about the influence of tasks and image semantics on human visual behavior and provide suggestions for the scanpath estimation research in future.

Tuomas Varanka: Bachelor thesis (2015): Facial Micro-Expression Recognition
  • In this thesis we look at why micro-expressions are important, datasets that contain micro-expressions for training of automatic systems, and how we can utilize modern computational methods for automatically recognizing micro-expressions. Lastly, we experiment with several representative methods in the literature and compare their performance.

Research visits

  • Visit to Prof. Jeffrey Cohn’s group in University of Pittsburgh and Carnegie Mellon University (CMU), USA
    11.6.2016 to 25.6.2016

  • Visit to Prof. Dimitris N. Metaxas’ group in Rutgers, The State University of New Jersey, USA,
    3.3.2016 to 9.8.2016

  • Visit to Prof. Maja Pantic’s IBUG group in Imperial College of London, UK
    12.7.2013 to 28.9.2013

  • Visit to Prof. Mark Nixon’s ISIS group in Southampton University, UK
    11.7.2011 to 22.7.2011

  • Visit to Prof. Stan Z. Li’s group in Institute of Automation, Chinese Academy of Sciences
    6.4.2009 to 19.4.2009

Projects

Towards Reading Micro-expressions in the Real World

Strategic research project of the University of OuluFocus institute: Infotech Oulu