X. Cao, K. Lai, G. -S. J. Hsu, M. Smith and S. N. Yanushkevich, "Cross-Spectrum Thermal Face Pattern Generator," in IEEE Access, vol. 10, pp. 9576-9586, 2022, DOI: 10.1109/ACCESS.2022.3144308. Jan. 2022
G.-S. Hsu, H.-Y. Wu, C.-H. Tsai, S. N. Yanushkevich, Marina L. Gavrilova, “Masked Face Recognition From Synthesis to Reality,” IEEE Access 10: 37938-37952 (2022)
Md. Shopon, G.-S. Hsu, M. L. Gavrilova, “Multiview Gait Recognition on Unconstrained Path Using Graph Convolutional Neural Network,” IEEE Access 10: 54572-54588 (2022).
Bhatia, Yajurv, ASM H. Bari, Gee-Sern J. Hsu, and Marina Gavrilova. 2022. "Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network" Sensors 22, no. 1: 403.
G.-S. Hsu, R.-C. Xie, Z.-T. Chen, “Wasserstein Divergence GAN With Cross-Age Identity Expert and Attribute Retainer for Facial Age Transformation,” IEEE Access 9: 39695-39706 (2021)
M. L. Gavrilova, G.-S. Hsu, K. Saeed, S. N. Yanushkevich, “IEEE Access Special Section Editorial: Intelligent Biometric Systems for Secure Societies,” IEEE Access 9: 71418-71421 (2021).
J. Jam, C. Kendrick, K. Walker, V. Drouard, G.-S. Hsu, M.- H. Yap, “A comprehensive review of past and present image inpainting methods,” Comput. Vis. Image Underst. 203: 103147 (2021).
R. -C. Xie, Z. -T. Chen and G. -S. Hsu “Successive Multitask GAN for Age Progression and Regression,” Journal of Information Science and Engineering, vol. 37 No. 4, Jul. 2021.
G.-S. Hsu, R.-C. Xie and Z. -T. Chen, "Wasserstein Divergence GAN With Cross-Age Identity Expert and Attribute Retainer for Facial Age Transformation," IEEE Access, vol. 9, 39695-39706, 2021, DOI: 10.1109/ACCESS.2021.3062499. Feb. 2021.
Jireh Jam, Connah Kendrick, Kevin Walker, Vincent Drouard, Jison Gee-Sern Hsu, Moi Hoon Yap, “A comprehensive review of past and present image inpainting methods,” Computer Vision and Image Understanding (CVIU), vol. 203, 2021, DOI: 10.1016/j.cviu.2020.103147. Feb. 2021.
G.-S. Hsu and C.-H. Tang, “Dual-View Normalization for Face Recognition,” IEEE Access, DOI: 10.1109/ACCESS.2020.3014877, Aug. 2020.
G.-S. Hsu, R.-C Xie, A. Ambikapathi, K.-J. Chou, “A Deep Learning Framework for Heart Rate Estimation from Facial Videos,” Neurocomputing, Jul. 2020.
G.-S. Hsu, W.-F. Huang and M.-H. Yap, “Edge-Embedded Multi-Dropout Framework for Real-Time Face Alignment,” IEEE Access, DOI: 10.1109/ACCESS.2019.2960325, Dec. 2019.
G.-S. Hsu, W.-F.Huang and J.-H. Kang, “Deep Hierarchical Network with Line SegmentLearning for Quantitative Analysis of Facial Palsy,” IEEE Access, DOI: 10.1109/ACCESS.2018.2884969, Dec.
G.-S. Hsu, H.-C.Shie, C.-H. Hsieh and J.-S. Chan, “Fast Landmark Localization with 3D ComponentReconstruction and CNN for Cross-Pose Recognition,” IEEE Trans. Circuits andSystems for Video Technology, vol. 28, no. 11, 3194-3207, Nov. 2018.
G.-S. Hsu, A. Ambikapathi, S.-L. Chung and H.-C. Shie, “Robust Cross-Pose Face Recognition using Landmark Oriented DepthWarping”, Journal of Visual Communication and Image Representation, vol. 53, 273-280, May 2018.
C.-C. Ng, M. H. Yap, Y.-T. Cheng, G.-S. Hsu, “Hybrid Ageing Patterns for Face Age Estimation,” Image and Vision Computing, vol. 69, 92-102, Jan. 2018,
G.-S. Hsu, H.-C. Peng, D.-Y. Lin and C.-Y. Lin, “Face Recognition Across Poses Using a Single 3D Reference Model”, IEICE Trans. on Information & Systems, vol. E98-D (6), 1238-1246, Jun. 2015.
G.-S. Hsu, Y.-L. Liu, H.-C. Peng and P.-X. Wu, “RGB-D based Face Reconstruction and Recognition,” IEEE Trans. on Information Forensics & Security, vol.9, is.12, 2110-2118, Dec. 2014.
G.-S. Hsu and T.-Y. Chu, “A Framework for Making Face Detection Benchmark Databases,” IEEE Trans. on Circuits and Systems for Video Technology, vol.24, is.2, 230-241, Feb. 2014.
P.-H. Lee, G.-S. Hsu, Y.-P. Hung and T. Chen, “Facial Trait Code,” IEEE Trans. on Circuits and Systems for Video Technology, vol.23, is.4, 648-660, Apr. 2013.
G.-S. Hsu, H.-C. Peng, S.-M. Yeh and C.-Y. Lin, “Multivariate Dice Recognition Using Invariant Features,” Optical Engineering, vol.52, is.4, Apr, 2013.
G.-S. Hsu, J.-C. Chen and Y.-J. Chung, “Application-Oriented License Plate Recognition,” IEEE Trans. on Vehicular Technology, vol.62, is.2, 552-561, Feb. 2013.
P.-H. Lee, G.-S. Hsu, Y.-W. Wang and Y.-P. Hung, “Subject-Specific and Pose-Oriented Facial Features for Face Recognition Across Poses,” IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.42, is.5, 1357-1368, Oct. 2012.
D.H. Hung, G.-S. Hsu, S.-L. Chung, H. Saito, “Real-Time Counting People in Crowded Areas using Local Empirical Templates and Density Ratios,” IEICE Trans. Info & Syst, vol. E95-D, no.7, 1791-1803, Jul. 2012.
Hsu, Gee-Sern, Yu-Hong Lin, and Chin-Cheng Chang. "Pretrained Pixel-Aligned Reference Network for 3D Human Reconstruction." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
G.-S. Hsu, C.-H. Tsai and H.-Y. Wu, “Dual-Generator Face Reenactment” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
G.-S. Hsu, R.-C. Xie, Z.-T. Chen, Y-H Lin, "AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics ", ECCV, 2022.
Y.-H. Lin, C.-H. Tang, Z.-T. Chen, G.-S. Hsu, Md. Shopon, Marina L. Gavrilova, ”Age-Style and Alignment Augmentation for Facial Age Estimation,” CAIP (2) 2021: 297-307.
C.-H. Tang, Y.-M. Chou, G.-S. Hsu, “Multi-View Normalization For Face Recognition,” ICIP 2021: 2343-2347
G.-S. Hsu, H.-Y. Wu, “Pose-Guided And Style-Transferred Face Reenactment,” ICIP 2021: 2458-2462
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap,“Symmetric Skip Connection Wasserstein GAN for High-resolution Facial Image Inpainting,” VISIGRAPP 2021.
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap, “R-MNet: A Perceptual Adversarial Network for Image Inpainting,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021.
Chia-Hao Tang, Gee-Sern Jison Hsu, “Discriminative Representation Learning for Face Recognition,” The International Conference on Artificial Intelligence and Computer Vision (AICV), 2020.
G.-S. Hsu, H.-Y. Wu and M.-H. Yap, “A Comprehensive Study on Loss Functions for Cross-Factor Face Recognition,” IEEE Int’l Conference on CVPRW, 2020.
G.-S. J. Hsu, C. -H. Tang, S. Yanushkevich and M. L. Gavrilova, "Contrastive Data Learning for Facial Pose and Illumination Normalization," ICPR, 2020
G.-S. Hsu, C.-H. Tang and M.-H. Yap, “Face Synthesis and Recognition Using Disentangled Representation-Learning Wasserstein GAN,” IEEE Int’l Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019.
H.-Y. Wu, M-H. Chang and G.-S. Hsu, “Comparison of Face Recognition Loss Functions,” Int’l Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019.
G.-S. Hsu, S.-T. Wu, S.-L. Chung and C.-F. Chen, “Identification of Partially Occluded Pharmaceutical Blister Packages,” IEEE Int’l Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019.
G.-S. Hsu, C.-H. Tang and M.-H. Yap, “Face Recognition with Disentangled Facial Representation Learning and Data Augmentation,” IEEE Int’l Conference on Image Processing (ICIP), 2019.
G.-S. Hsu, M.-H. Chang, “Deep Hybrid Network for Automatic Quantitative Analysis of Facial Paralysis,” AVSS 2018.
G.-S. Hsu, W.-F. Huang and J.-H. Kang, “Hierarchical Network for Facial Palsy Detection,” CVPRW 2018.
G.-S. Hsu, K.-C Ho, “Edge-Coupled and Multi-Dropout Face Alignment,” ICIP 2018.
G.-S. Hsu, K.-C Ho, C.-H. Hsieh, “Mixture of trees with three layers,” Int’l Conference on Advanced Robotics and Intelligent Systems (ARIS), 2017.
G.-S. Hsu, C.-H. Hsieh, “Cross-pose landmark localization using multi-dropout framework,” IEEE Int’l Joint Conference on Biometrics (IJCB), 2017.
J.-S. Chan, G.-S. Hsu, H.-C. Shie and Y.-X. Chen, “Face Recognition by Facial Attribute Assisted Network,” ICIP 2017, Beijing.
G.-S. Hsu and C.-H. Hsieh, “Multi-Dropout Regression for Wide-Angle Landmark Localization,” ICIP 2017, Beijing.
G.-S. Hsu, A. Ambikapathi, M.-S. Chen “Deep Learning with Time-Frequency Representation for Pulse Estimation,” IJCB 2017, Denver.
G.-S. Hsu, A. Ambikapathi, S.-L. Chung “Robust License Plate Detection in the Wild,” AVSS 2017, Lecce.
C.-C. Ng, Y.-T. Cheng, G.-S. Hsu and M. H. Yap, “Multi-layer Age Regression for Face Age Estimation,” IAPR Int’l Conference on Machine Vision Applications (MVA), 2017.
G.-S. Hsu, Y.-T. Cheng, C.-C. Ng and M. H. Yap, “Component Bio-Inspired Features with Moving Segmentation for Age Estimation,” CVPRW 2017.
G.-S. Hsu and C.-W. Chiu, “A Comparison Study on Real-time Tracking Motorcycle License Plates,” IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016, Bordeaux.
G.-S. Hsu, K.-H. Chang and S.-C. Huang, “Regressive Tree Structured Model for Facial Land-mark Localization,” IEEE Int’l Conference on Computer Vision (ICCV), 2015, Santiago, Chile.
G.-S. Hsu, K.-H. Chang, S.-C. Huang and S.-L. Chung, “Face Detection and Landmark Localization using Bilayer Tree Structured Model,” ICIP 2015, Quebec.
G.-S. Hsu, S.-D. Zeng, C.-W. Chiu and S.-L. Chung, “A Comparison Study on Motorcycle License Plate Detection,” IEEE Int’l Conference on Multimedia & Expo Workshops (ICMEW) 2015, Turin, Italy.
G.-S. Hsu, Y.-L. Liu, H.-C. Peng and S.-L. Chung, “RGB-D based Face Reconstruction and Recognition,” Int’l Conference on Pattern Recognition (ICPR), 2014, Stockholm.
G.-S. Hsu, K.-H. Chang and H.-C. Peng, “Landmark Based Facial Component Reconstruction for Recognition Across Pose,” CVPRW 2014, awarded the Best Paper in Workshops on Biometrics, 2014.
G.-S. Hsu and S.-M. Yeh, “Heterogeneous Feature Code for Expression Recognition,” Oral presentation, IEEE Int’l Conference on Image Processing (ICIP), 2013, Melbourne.
D. H. Hung, H. Saito and G.-S. Hsu, “Detecting Fall Incidents of the Elderly Based on Human-Ground Contact Areas,” 516-521, IAPR Asian Conference on Pattern Recognition (ACPR), 2013.
G.-S. Hsu and D.-Y. Lin, “Face Recognition using Sparse Representation with Illumination Normalization and Component Features,” Asian-Pacific Signal and Information Processing Assoc. (APSIPA) Annual Summit & Conference, 2013.
G.-S. Hsu and H.-C. Peng, “Face Recognition Across Pose using a Single 3D Reference Model,” 869-874, CVPRW 2013.
G.-S. Hsu and Truong Tan Loc, “A Comparison Study on Appearance-Based Object Recognition,” 3500-3503, ICPR 2012.
G.-S. Hsu, H. P. Nguyen, C.-H. Wu and S.-L. Chung, “Pedestrian Tracking in Low Contrast Regions using Aggregated Background Model and Silhouette Components,” 3680-3683, ICPR 2012.
G.-S. Hsu, C.-H. Peng and C.-Y. Lin, “Color and Illumination Invariant Dice Recognition,” 857-862, IEEE Int’l Conference on Systems, Man, and Cybernetics (SMC), 2012.
G.-S. Hsu, C.H. Peng and C.Y. Lin, “Dice Recognition in Uncontrolled Illumination Conditions by Local Invariant Features,” vol. 2, 188-195, Int’l Conference on Computer Analysis of Images and Patterns (CAIP), 2011, Seville, Spain.
G.S. Hsu, P. Alexandra and C.H. Peng, “Invariant Features for Dice Recognition Across Illumination,” 3112-3115, Proc. IEEE Int’l Conference Multimedia Technology (ICMT), 2011, Hangzhou, China; awarded the Best Paper.
G.S. Hsu, P. Alexandra and J.C. Chen, “License Plate Recognition for Categorized Applications,” 220-225, Proc. IEEE Conference Vehicular Electronics and Safety (ICVES), 2011, Beijing.
G.S. Hsu, T.H. Tran, and S.L. Chung, “Benchmark Face Detection using a Face Recognition Database,” 3821-3824, ICIP 2010, Hong Kong.
P.H. Lee, G.S. Hsu, and Y.P. Hung, “Probabilistic Facial Trait Code for Face Recognition,” 2429-2432, ICIP 2010, Hong Kong.
H.H. Dao, G.S. Hsu, and S.L. Chung, “Local Empirical Templates and Density Ratios for People Counting,” 90-101, Proc. Asian Conference on Computer Vision (ACCV), 2010, Queenstown, New Zealand.
P.H. Lee, G.S. Hsu, and Y.P. Hung, “Robust Face Recognition using Probabilistic Facial Trait Code,” 271-284, Proc. European Conference on Computer Vision (ECCV), 2010, Crete, Greece.
Sanjida Nasreen Tumpa, K. N. Pavan Kumar, Madeena Sultana, Gee-Sern Jison Hsu, Orly Yadid-Pecht, Svetlana Yanushkevich, Marina L. Gavrilova, "Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies" Chap1