Pong Chi YUEN, Prof

1993 …2022

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  • Kernel parameter optimization for kernel-based LDA methods

    Huang, J., Chen, X., YUEN, P. C., Zhang, J., Chen, W. S. & Lai, J. H., 2008, 2008 International Joint Conference on Neural Networks, IJCNN 2008. p. 3840-3846 7 p. 4634350. (Proceedings of the International Joint Conference on Neural Networks).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • Kernel subspace LDA with convolution kernel function for face recognition

    Chen, W. S., YUEN, P. C. & Ji, Z., 2010, 2010 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2010. p. 158-163 6 p. 5576309. (2010 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2010).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • Kernel subspace LDA with optimized kernel parameters on face recognition

    Huang, J., YUEN, P. C., Chen, W. S. & Lai, J. H., 2004, Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004. p. 327-332 6 p. (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    47 Citations (Scopus)
  • Learning a discriminative sparse tri-value transform

    Qui, Z., Qiu, G. & YUEN, P. C., 2008, 2008 19th International Conference on Pattern Recognition, ICPR 2008. 4761291. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

  • Learning the relationship between high and low resolution images in kernel space for face super resolution

    Zou, W. W. W. & YUEN, P. C., 2010, Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010. p. 1152-1155 4 p. 5595878. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    13 Citations (Scopus)
  • Linear dependency modeling for feature fusion

    Ma, A. J. H. & YUEN, P. C., 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 2041-2048 8 p. 6126477. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    15 Citations (Scopus)
  • Modeling spatial relations of human body parts for indexing and retrieving close character interactions

    HO, S. L., CHAN, C. P., CHEUNG, Y. M. & YUEN, P. C., 13 Nov 2015, Proceedings - VRST 2015: 21st ACM Symposium on Virtual Reality Software and Technology. Spencer, S. N. (ed.). Association for Computing Machinery (ACM), p. 187-190 4 p. (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST; vol. 13-15-November-2015).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    Open Access
    2 Citations (Scopus)
  • Motion capture data completion and denoising by singular value thresholding

    Lai, R. Y. Q., Yuen, P. C. & Lee, K. K. W., Apr 2011, The European Association for Computer Graphics 32nd Annual Conference: Eurographics 2011: Short Papers. The Eurographics Association, p. 45-48 4 p.

    Research output: Chapter in book/report/conference proceedingConference contribution

  • Mouth state estimation in mobile computing environment

    YUEN, P. C., Lai, J. H. & Huang, Q. Y., 2004, Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004. p. 705-710 6 p. (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    8 Citations (Scopus)
  • Multi-adversarial discriminative deep domain generalization for face presentation attack detection

    Shao, R., LAN, X., Li, J. & YUEN, P. C., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 10015-10023 9 p. 8953226. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    32 Citations (Scopus)
  • Multi-cue visual tracking using robust feature-level fusion based on joint sparse representation

    LAN, X., Ma, A. J. & YUEN, P. C., 24 Sep 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 1194-1201 8 p. 6909552. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    136 Citations (Scopus)
  • Multi-template ASM method for feature points detection of facial image with diverse expressions

    Li, Y., Lai, J. H. & YUEN, P. C., 2006, FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition. p. 435-440 6 p. 1613058. (FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition; vol. 2006).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    14 Citations (Scopus)
  • Online dictionary learning on symmetric positive definite manifolds with vision applications

    Zhang, S., Kasiviswanathan, S., YUEN, P. C. & Harandi, M., Jan 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AAAI press, p. 3165-3173 9 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    35 Citations (Scopus)
  • On the guessability of binary biometric templates: A practical guessing entropy based approach

    Mai, G., LIM, M. H. & YUEN, P. C., 29 Jan 2018, IEEE International Joint Conference on Biometrics, IJCB 2017. IEEE, p. 367-374 8 p. (IEEE International Joint Conference on Biometrics, IJCB 2017; vol. 2018-January).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • Open-Set Adversarial Defense

    Shao, R., Perera, P., YUEN, P. C. & Patel, V. M., 19 Nov 2020, Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). 1st ed. Springer Science and Business Media Deutschland GmbH, p. 682-698 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12362 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    Open Access
  • Protecting face biometric data on smartcard with reed-solomon code

    Feng, Y. C. & YUEN, P. C., 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop. 1640469. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2006).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    31 Citations (Scopus)
  • Rank-lifting strategy based kernel regularized discriminant analysis method for face recognition

    Chen, W. S., YUEN, P. C. & Xie, X., 2010, 2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings. p. 141-145 5 p. 5659142. (2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

  • Recovery of writing sequence of static images of handwriting using UWM

    Lau, K. K., YUEN, P. C. & Tang, Y. Y., 2003, Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society, p. 1123-1128 6 p. 1227831. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; vol. 2003-January).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
  • Reduced analytical dependency modeling for classifier fusion

    Ma, A. J. & YUEN, P. C., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 3 ed. p. 792-805 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7574 LNCS, no. PART 3).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection

    Liu, S. Q., LAN, X. & YUEN, P. C., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Weiss, Y., Ferrari, V., Sminchisescu, C. & Hebert, M. (eds.). Springer Verlag, p. 577-594 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11220 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • Robust anchor embedding for unsupervised video person re-identification in the wild

    Ye, M., LAN, X. & YUEN, P. C., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer Verlag, p. 176-193 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11211 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    6 Citations (Scopus)
  • Robust collaborative discriminative learning for RGB-infrared tracking

    LAN, X., Ye, M., Zhang, S. & YUEN, P. C., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 7008-7015 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    31 Citations (Scopus)
  • 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 proceedingConference contributionpeer-review

    1 Citation (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 proceedingConference contributionpeer-review

    12 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 proceedingConference contributionpeer-review

    Open Access
    7 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 proceedingConference contributionpeer-review

    5 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 proceedingConference contributionpeer-review

    1 Citation (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 proceedingConference contributionpeer-review

    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 proceedingConference contributionpeer-review

    15 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 proceedingConference contributionpeer-review

    4 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 proceedingConference contributionpeer-review

  • 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 proceedingConference contributionpeer-review

    4 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 proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • 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 others, Erdem, 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 proceedingConference contributionpeer-review

    554 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 proceedingConference contributionpeer-review

  • 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 proceedingConference contributionpeer-review

    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 proceedingConference contributionpeer-review

    3 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 proceedingConference contributionpeer-review

    35 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 proceedingConference contributionpeer-review

    36 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 proceedingConference contributionpeer-review

    Open Access
  • 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 proceedingConference contributionpeer-review

    19 Citations (Scopus)
  • 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 proceedingConference contributionpeer-review

    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 proceedingConference contributionpeer-review

    Open Access
    91 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 proceedingConference contributionpeer-review

    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 proceedingConference contributionpeer-review

    7 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 proceedingConference contributionpeer-review

    6 Citations (Scopus)
  • Weakly supervised learning on pre-image problem in kernel methods

    Zheng, W. S., Lai, J. H. & YUEN, P. C., 2006, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. p. 711-715 5 p. 1699304. (Proceedings - International Conference on Pattern Recognition; vol. 2).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

    10 Citations (Scopus)
  • Weakly Supervised rPPG Estimation for Respiratory Rate Estimation

    Du, J., Liu, S., Zhang, B. & Yuen, P. C., Oct 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE, p. 2391-2397 7 p. (IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)).

    Research output: Chapter in book/report/conference proceedingConference contributionpeer-review