Pong Chi YUEN, Prof

Research Output

Research output per year 1993 2000 2004 2005 2006 2009 2010 2016 2018 2019 2021 2022 2023

• 127 Journal article
• 109 Conference proceeding
• 5 Conference article
• 4 Chapter
• 11 More
  • 4 Conference paper
  • 4 Editorial
  • 1 Entry for encyclopedia/dictionary
  • 1 Review article
  • 1 Patent

Research output per year

Research output per year

Search results

• Robust shapelets learning: Transform-invariant prototypes

  Deng, H., Chen, W., Ma, A. J., Shen, Q., YUEN, P. C. & Feng, G., 2018, Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Proceedings. Lai, J-H., Liu, C-L., Tan, T., Chen, X., Zha, H., Zhou, J. & Zheng, N. (eds.). Springer Verlag, p. 491-502 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11258 LNCS).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Prototype 100%
  • Mathematical transformations 95%
  • Learning 83%
  • Time series 81%
  • Transform 66%
  2 Citations (Scopus)

• Robust visual tracking using dynamic feature weighting based on multiple dictionary learning

  Liu, R., LAN, X., YUEN, P. C. & Feng, G. C., 28 Nov 2016, 2016 24th European Signal Processing Conference, EUSIPCO 2016. European Signal Processing Conference, EUSIPCO, p. 2166-2170 5 p. 7760632. (European Signal Processing Conference; vol. 2016-November).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Glossaries 100%
  • Experiments 18%
  13 Citations (Scopus)

• Robust Visual Tracking via Basis Matching

  Zhang, S., LAN, X., Qi, Y. & YUEN, P. C., Mar 2017, In: IEEE Transactions on Circuits and Systems for Video Technology. 27, 3, p. 421-430 10 p., 7428913.

  Research output: Contribution to journal › Journal article › peer-review

  • Classifiers 100%
  • Set theory 90%
  75 Citations (Scopus)

• Salient region preservation for image deformation

  Zhang, Y., Lai, J., YUEN, P. C. & Xie, X., 1 Nov 2014, In: Journal of Electronic Imaging. 23, 6, 063012.

  Research output: Contribution to journal › Journal article › peer-review

  • matrices 100%
  • Singular value decomposition 46%
  • preserving 45%
  • decomposition 34%
  • performance 20%

• SecureFace: Face Template Protection

  Mai, G., Cao, K., Lan, X. & Yuen, P. C., Jan 2021, In: IEEE Transactions on Information Forensics and Security. 16, p. 262-277 16 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Benchmarking 100%
  • Biometrics 94%
  31 Citations (Scopus)

• Segmented snake for contour detection

  Wong, Y. Y., YUEN, P. C. & TONG, C. S., Nov 1998, In: Pattern Recognition. 31, 11, p. 1669-1679 11 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Computer graphics 100%
  • Object recognition 96%
  • Global optimization 96%
  • Computer vision 78%
  54 Citations (Scopus)

• Selection of distinguish points for class distribution preserving transform for biometric template protection

  Feng, Y. C. & YUEN, P. C., 2007, Advances in Biometrics - International Conference, ICB 2007, Proceedings. Springer Verlag, p. 636-645 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4642 LNCS).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Biometrics 100%
  • Template 98%
  • Transform 59%
  • Class 24%
  • Strings 19%
  7 Citations (Scopus)

• Self-Fusion Convolutional Neural Networks

  GONG, S., ZHANG, S., YANG, J. & YUEN, P. C., Dec 2021, In: Pattern Recognition Letters. 152, p. 50-55 6 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Convolutional neural networks 100%
  • Fusion reactions 88%
  • Convolution 18%
  • Electric fuses 9%
  2 Citations (Scopus)

• Semi-supervised learning in medical image database

  Li, C. H. & YUEN, P. C., 2001, Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings. Cheung, D., Williams, G. J. & Li, Q. (eds.). Springer Verlag, p. 154-160 7 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 2035).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Image Database 100%
  • Semi-supervised Learning 89%
  • Medical Image 82%
  • Semi-supervised learning 68%
  • Semi-supervised Clustering 34%
  8 Citations (Scopus)

• Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions

  Wang, Q., YUEN, P. C. & Feng, G., Sept 2013, In: Pattern Recognition. 46, 9, p. 2576-2587 12 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Topology 100%
  • Hinges 77%
  • Pattern recognition 64%
  • Learning algorithms 61%
  • Experiments 26%
  44 Citations (Scopus)

• Semi-supervised metric learning VIA topology representation

  Wang, Q. Y., Yuen, P. C. & Feng, G. C., Aug 2012, Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. IEEE, p. 639-643 5 p. 6333904. (European Signal Processing Conference).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Topology 100%
  • Hinges 77%
  • Pattern recognition 64%
  • Learning algorithms 61%
  • Experiments 26%
  1 Citation (Scopus)

• Semi-supervised Region Metric Learning for Person Re-identification

  Li, J., Ma, A. J. & Yuen, P. C., Aug 2018, In: International Journal of Computer Vision. 126, 8, p. 855-874 20 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Cameras 100%
  • Labels 80%
  • Semi-supervised learning 57%
  • Personnel 35%
  • Classifiers 33%
  46 Citations (Scopus)

• Shannon wavelet kernel based subspace LDA approach in face recognition

  Chen, W. S., Fang, B., YUEN, P. C. & Lai, J. H., 2006, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society, p. 708-713 6 p. 4072179. (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; vol. 1).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Discriminant analysis 100%
  • Face recognition 89%
  • Lighting 18%
  3 Citations (Scopus)

• Shot boundary detection: An information saliency approach

  Wu, X., YUEN, P. C., Liu, C. & Huang, J., 2008, Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008. p. 808-812 5 p. 4566416. (Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008; vol. 2).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
  16 Citations (Scopus)

• Similarity learning based on semi-supervised graph for classification

  Wang, Q., YUEN, P. C., Feng, G. & Wang, P. S., Jun 2012, In: International Journal of Pattern Recognition and Artificial Intelligence. 26, 4, 12500097.

  Research output: Contribution to journal › Journal article › peer-review

  • Labels 100%
  2 Citations (Scopus)

• Similarity learning for semi-supervised multi-class boosting

  Wang, Q. Y., YUEN, P. C. & Feng, G. C., 2011, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. p. 2164-2167 4 p. 5946756. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
  4 Citations (Scopus)

• SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation

  Yeh, H-W., Yang, B., Yuen, P. C. & Harada, T., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. IEEE, p. 474-483 10 p. (Proceedings - IEEE Workshop on Applications of Computer Vision (WACV)).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Ablation 100%
  • Gaussian distribution 91%
  • Labels 69%
  • Semantics 55%

• Spatial-temporal Regularized Multi-modality Correlation Filters for Tracking with Re-detection

  Lan, X., Yang, Z., Zhang, W. & Yuen, P. C., May 2021, In: ACM Transactions on Multimedia Computing, Communications and Applications. 17, 2, p. 1-16 16 p., 57.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  File

  • Infrared radiation 100%
  • Object tracking 62%
  • Adaptive algorithms 58%
  • Target tracking 55%
  • Computer vision 48%
  5 Citations (Scopus)

  25 Downloads (Pure)

• Spectroface: A Fourier-based approach for human face recognition

  Lai, J. H., Yuen, P. C. & Feng, G. C., Jan 1999, Proceedings of the second International Conference on Multimodal Interface . International Conference on Multimodal Interface , p. VI 115-120 6 p.

  Research output: Chapter in book/report/conference proceeding › Conference proceeding

  • Face recognition 100%
  • Template matching 41%
  • Fourier transforms 34%
  • Wavelet transforms 32%

• Stroke extraction and stroke sequence estimation on signatures

  Lau, K. K., YUEN, P. C. & Tang, Y. Y., 2002, In: Proceedings - International Conference on Pattern Recognition. 16, 3, p. 119-122 4 p.

  Research output: Contribution to journal › Journal article › peer-review

  22 Citations (Scopus)

• Subspace KDA algorithm for non-linear feature extraction in face identification

  Chen, W. S., YUEN, P. C. & Lai, J. H., 2007, Computational Intelligence and Security - International Conference, CIS 2006, Revised Selected Papers. Springer Verlag, p. 1106-1114 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4456 LNAI).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Fisher Discriminant Analysis 100%
  • Feature Extraction 91%
  • Discriminant Analysis 72%
  • Discriminant analysis 65%
  • Feature extraction 47%

• Supervised neighborhood topology learning for human action recognition

  Ma, J., YUEN, P. C., Zou, W. & Lai, J. H., 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. p. 476-481 6 p. 5457662. (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Topology 100%
  • Labels 25%
  • Learning algorithms 24%
  4 Citations (Scopus)

• Supervised spatio-temporal neighborhood topology learning for action recognition

  Ma, A. J., YUEN, P. C., Zou, W. W. W. & Lai, J. H., 2013, In: IEEE Transactions on Circuits and Systems for Video Technology. 23, 8, p. 1447-1460 14 p., 6469204.

  Research output: Contribution to journal › Journal article › peer-review

  • Topology 100%
  • Labels 41%
  • Learning algorithms 20%
  22 Citations (Scopus)

• Temporal matrix completion with locally linear latent factors for medical applications

  Ma, A. J., Chan, C. P., Chan, F. K. S., Yuen, P. C., Yip, T. C. F., Tse, Y. K., Wong, V. W. S. & Wong, G. L. H., Jul 2020, In: Artificial Intelligence in Medicine. 107, 101883.

  Research output: Contribution to journal › Journal article › peer-review

  • Medical applications 100%
  • Tensors 88%
  • Health 32%
  • Datasets 23%
  • Wales 17%
  2 Citations (Scopus)

• Temporal similarity analysis of remote photoplethysmography for fast 3D mask face presentation attack detection

  Liu, S. Q., Lan, X. & Yuen, P. C., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. IEEE, p. 2597-2605 9 p. 9093337. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Photoplethysmography 100%
  • Masks 66%
  • Lighting 16%
  • Smartphones 9%
  • Cameras 7%
  18 Citations (Scopus)

• Text string detection for loosely constructed characters with arbitrary orientations

  Zhang, Y., Lai, J. & YUEN, P. C., 30 Nov 2015, In: Neurocomputing. 168, p. 970-978 9 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Datasets 100%
  • Stroke 86%
  • Experiments 14%
  8 Citations (Scopus)

• The solution space for Fisher discriminant analysis and the uniqueness under constraints

  Zheng, W., Lai, J. & YUEN, P. C., 2004, In: Lecture Notes in Computer Science. 3338, p. 313-319 7 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Fisher Discriminant Analysis 100%
  • Linear transformations 77%
  • Discriminant analysis 65%
  • Projection 45%
  • Uniqueness 44%

• The visual object tracking VOT2016 challenge results

  Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Čehovin, L., Vojír, T., Häger, G., Lukežič, A., Fernández, G., Gupta, A., Petrosino, A., Memarmoghadam, A., Martin, A. G., Montero, A. S., Vedaldi, A., Robinson, A., Ma, A. J., Varfolomieiev, A., Alatan, A., & 119 othersErdem, A., Ghanem, B., Liu, B., Han, B., Martinez, B., Chang, C. M., Xu, C., Sun, C., Kim, D., Chen, D., Du, D., Mishra, D., Yeung, D. Y., Gundogdu, E., Erdem, E., Khan, F., Porikli, F., Zhao, F., Bunyak, F., Battistone, F., Zhu, G., Roffo, G., Sai Subrahmanyam, G. R. K., Bastos, G., Seetharaman, G., Medeiros, H., Li, H., Qi, H., Bischof, H., Possegger, H., Lu, H., Lee, H., Nam, H., Chang, H. J., Drummond, I., Valmadre, J., Jeong, J. C., Cho, J. I., Lee, J. Y., Zhu, J., Feng, J., Gao, J., Choi, J. Y., Xiao, J., Kim, J. W., Jeong, J., Henriques, J. F., Lang, J., Choi, J., Martinez, J. M., Xing, J., Gao, J., Palaniappan, K., Lebeda, K., Gao, K., Mikolajczyk, K., Qin, L., Wang, L., Wen, L., Bertinetto, L., Rapuru, M. K., Poostchi, M., Maresca, M., Danelljan, M., Mueller, M., Zhang, M., Arens, M., Valstar, M., Tang, M., Baek, M., Khan, M. H., Wang, N., Fan, N., Al-Shakarji, N., Miksik, O., Akin, O., Moallem, P., Senna, P., Torr, P. H. S., YUEN, P. C., Huang, Q., Nieto, R. M., Pelapur, R., Bowden, R., Laganière, R., Stolkin, R., Walsh, R., Krah, S. B., Li, S., Zhang, S., Yao, S., Hadfield, S., Melzi, S., Lyu, S., Li, S., Becker, S., Golodetz, S., Kakanuru, S., Choi, S., Hu, T., Mauthner, T., Zhang, T., Pridmore, T., Santopietro, V., Hu, W., Li, W., Hübner, W., LAN, X., Wang, X., Li, X., Li, Y., Demiris, Y., Wang, Y., Qi, Y., Yuan, Z., Cai, Z., Xu, Z., He, Z. & Chi, Z., 2016, Computer Vision – ECCV 2016 Workshops, Proceedings. Jegou, H. & Hua, G. (eds.). Springer Verlag, p. 777-823 47 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9914 LNCS).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Visual Tracking 100%
  • Object Tracking 87%
  • Object tracking 53%
  • Websites 42%
  • Computer vision 42%
  923 Citations (Scopus)

• Tongue image matching using color content

  Li, C. H. & Yuen, P. C., Feb 2002, In: Pattern Recognition. 35, 2, p. 407-419 13 p.

  Research output: Contribution to journal › Journal article › peer-review

  File

  • Image matching 100%
  • Color 59%
  • Color matching 39%
  • Distance measurement 34%
  • Classifiers 19%
  71 Citations (Scopus)

• Tongue Texture Analysis Using Gabor Wavelet Opponent Colour Features for Tongue Diagnosis in Traditional Chinese Medicine

  YUEN, PONG. C., KUANG, Z. Y., WU, W. & WU, Y. T., Oct 2000, Texture Analysis in Machine Vision. Pietikäinen, M. K. (ed.). Singapore: World Scientific Publishing Co. Pte Ltd, p. 179-188 10 p. (Series in Machine Perception and Artificial Intelligence; vol. 40).

  Research output: Chapter in book/report/conference proceeding › Chapter › peer-review

  • Medicine 100%
  • Textures 79%
  • Color 71%
  • Experiments 17%
  • Standardization 15%

• Topology aware data-driven inverse kinematics

  HO, S. L., Shum, H. P. H., CHEUNG, Y. M. & YUEN, P. C., Oct 2013, In: Computer Graphics Forum. 32, 7, p. 61-70 10 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Inverse kinematics 100%
  • Topology 58%
  • Touch screens 51%
  • Animation 43%
  • Kinematics 34%
  18 Citations (Scopus)

• Torso orientation: A new clue for occlusion-aware human pose estimation

  Yu, Y., Yang, B. & YUEN, P. C., 28 Nov 2016, 2016 24th European Signal Processing Conference, EUSIPCO 2016. European Signal Processing Conference, EUSIPCO, p. 908-912 5 p. 7760380. (European Signal Processing Conference; vol. 2016-November).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Visibility 100%
  • Labels 85%
  • Experiments 35%

• Transductive learning: Learning Iris data with two labeled data

  Li, C. H. & YUEN, P. C., 2001, Artificial Neural Networks - ICANN 2001 - International Conference, Proceedings. Hornik, K., Dorffner, G. & Bischof, H. (eds.). Springer Verlag, p. 231-236 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2130).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Iris 100%
  • Labeled data 74%
  • Learning 57%
  • Similarity 36%
  • Sampling 29%
  3 Citations (Scopus)

• UA-CRNN: Uncertainty-aware convolutional recurrent neural network for mortality risk prediction

  Tan, Q., Ma, A. J., Ye, M., Yang, B., Deng, H., Wong, V. W. S., Tse, Y. K., Yip, T. C. F., Wong, G. L. H., Ching, J. Y. L., Chan, F. K. L. & YUEN, P. C., 3 Nov 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 109-118 10 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Recurrent Neural Networks 100%
  • Mortality Risk 90%
  • Time Series Data 65%
  • Prediction 56%
  • Information Uncertainty 45%
  16 Citations (Scopus)

• Ulcer detection in wireless capsule endoscopy images

  Yu, L., Yuen, P. C. & Lai, J., Nov 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). IEEE, p. 45-48 4 p. 6460068. (Proceedings - International Conference on Pattern Recognition).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Endoscopy 100%
  • Fusion reactions 65%
  • Patents and inventions 47%
  • Image processing 31%
  • Classifiers 28%
  43 Citations (Scopus)

• Universal writing model for recovery of writing sequence of static handwriting images

  Lau, K. K., YUEN, P. C. & Tang, Y. Y., Aug 2005, In: International Journal of Pattern Recognition and Artificial Intelligence. 19, 5, p. 603-630 28 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Recovery 100%
  • Testing 76%
  • Distribution functions 76%
  • Statistical methods 62%
  • Set theory 47%
  7 Citations (Scopus)

• Unsupervised embedding learning via invariant and spreading instance feature

  Ye, M., Zhang, X., YUEN, P. C. & Chang, S. F., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 6203-6212 10 p. 8953747. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Supervised learning 100%
  • Testing 48%
  321 Citations (Scopus)

• Variance projection function and its application to eye detection for human face recognition

  Feng, G. C. & YUEN, P. C., Jul 1998, In: Pattern Recognition Letters. 19, 9, p. 899-906 8 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Face recognition 100%
  158 Citations (Scopus)

• Variation generalized feature learning via intra-view variation adaptation

  Li, J., Ye, M., Ma, A. J. & Yuen, P. C., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 826-832 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Learning algorithms 100%
  • Fusion reactions 96%
  • Testing 62%
  • Experiments 42%

• Very low resolution face recognition problem

  Zou, W. W. W. & YUEN, P. C., Jan 2012, In: IEEE Transactions on Image Processing. 21, 1, p. 327-340 14 p., 5957296.

  Research output: Contribution to journal › Journal article › peer-review

  • Face recognition 100%
  • Image resolution 74%
  • Cameras 24%
  424 Citations (Scopus)

• Very low resolution face recognition problem

  Zou, W. & YUEN, P. C., 2010, IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010. 5634490. (IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Face Recognition 100%
  • Super-resolution 38%
  • Camera 21%
  • Image Recognition 13%
  • Image Quality 13%
  25 Citations (Scopus)

• Video-shot transition detection: A spatio-temporal saliency approach

  Wu, X., Lai, J. & YUEN, P. C., Dec 2010, In: International Journal of Pattern Recognition and Artificial Intelligence. 24, 8, p. 1295-1309 15 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Error detection 100%
  • Detectors 70%
  1 Citation (Scopus)

• View synthesis under perspective projection

  Feng, G. C., Lai, J. H. & YUEN, P. C., Aug 2000, In: International Journal of Pattern Recognition and Artificial Intelligence. 14, 5, p. 649-661 13 p.

  Research output: Contribution to journal › Journal article › peer-review

• Virtual view face image synthesis using 3D spring-based face model from a single image

  Feng, G. C., YUEN, P. C. & Lai, J. H., 2000, Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000. IEEE Computer Society, p. 530-535 6 p. 840685. (Proceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Computer graphics 100%
  • Computer vision 78%
  4 Citations (Scopus)

• Visible thermal person re-identification via dual-constrained top-ranking

  Ye, M., Wang, Z., Lan, X. & Yuen, P. C., Jul 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 1092-1099 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  Open Access

  • Cameras 100%
  • Hot Temperature 67%
  • Experiments 25%
  231 Citations (Scopus)

• Vulnerabilities in binary face template

  Feng, Y. C. & YUEN, P. C., 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012. p. 105-110 6 p. 6239223. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Personal computers 100%
  6 Citations (Scopus)

• Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognition

  Dai, D. Q. & Yuen, P. C., 24 Jun 2003, Audio- and Video-Based Biometric Person Authentication: 4th International Conference, AVBPA 2003 Guildford, UK, June 9–11, 2003 Proceedings. Kittler, J. & Nixon, M. S. (eds.). 1st ed. Springer Berlin Heidelberg, p. 137-144 8 p. (Lecture Notes in Computer Science; vol. 2688).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Face Recognition 100%
  • Dimensionality Reduction 76%
  • Scatter 72%
  • Discriminant Analysis 70%
  • Wavelet Transform 68%
  9 Citations (Scopus)

• Wavelet based discriminant analysis for face recognition

  Dai, D. Q. & YUEN, P. C., 1 Apr 2006, In: Applied Mathematics and Computation. 175, 1, p. 307-318 12 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Face Recognition 100%
  • Discriminant Analysis 70%
  • Discriminant analysis 63%
  • Face recognition 56%
  • Wavelets 52%
  27 Citations (Scopus)

• Wavelet-based PCA for human face recognition

  Yuen, P. C., Dai, D. Q. & Feng, G. C., 1998, p. 223-228. 6 p.

  Research output: Contribution to conference › Conference paper › peer-review

  • Face recognition 100%
  • Wavelet transforms 48%
  • Frequency bands 46%
  18 Citations (Scopus)

• Wavelet kernel construction for kernel discriminant analysis on face recognition

  Chen, W. S., YUEN, P. C., Huang, J. & Lai, J., 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop. 1640487. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2006).

  Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Discriminant analysis 100%
  • Face recognition 89%
  • Splines 22%
  • Lighting 18%
  6 Citations (Scopus)