Search Results - "Gee-Sern Hsu"

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  1. 1

    Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network by Bhatia, Yajurv, Bari, Asm Hossain, Hsu, Gee-Sern Jison, Gavrilova, Marina

    Published in Sensors (Basel, Switzerland) (01-01-2022)
    “…Motion capture sensor-based gait emotion recognition is an emerging sub-domain of human emotion recognition. Its applications span a variety of fields…”
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    Journal Article
  2. 2

    A comprehensive review of past and present image inpainting methods by Jam, Jireh, Kendrick, Connah, Walker, Kevin, Drouard, Vincent, Hsu, Jison Gee-Sern, Yap, Moi Hoon

    Published in Computer vision and image understanding (01-02-2021)
    “…Images can be described as visual representations or likeness of something (person or object) which can be reproduced or captured, e.g. a hand drawing,…”
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    Journal Article
  3. 3

    RGB-D-Based Face Reconstruction and Recognition by Hsu, Gee-Sern Jison, Yu-Lun Liu, Hsiao-Chia Peng, Po-Xun Wu

    “…Most RGB-D-based research focuses on scene reconstruction, gesture analysis, and simultaneous localization and mapping, but only a few study its impacts on…”
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    Journal Article
  4. 4

    IEEE Access Special Section Editorial: Intelligent Biometric Systems for Secure Societies by Gavrilova, Marina L., Hsu, Gee-Sern, Saeed, Khalid, Yanushkevich, Svetlana

    Published in IEEE access (2021)
    “…Recent discourse in security domains points to the emergence of intelligent biometric systems as some of the most potent authentication systems for government…”
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    Journal Article
  5. 5

    Dual-View Normalization for Face Recognition by Hsu, Gee-Sern, Tang, Chia-Hao

    Published in IEEE access (01-01-2020)
    “…Face normalization refers to a family of approaches that rotate a non-frontal face to the frontal pose for better handling of face recognition. While a great…”
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    Journal Article
  6. 6

    A Framework for Making Face Detection Benchmark Databases by HSU, Gee-Sern, CHU, Tsu-Ying

    “…The images in face detection benchmark databases are mostly taken by consumer cameras, and thus are constrained by popular preferences, including a frontal…”
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    Journal Article
  7. 7

    Edge-Embedded Multi-Dropout Framework for Real-Time Face Alignment by Hsu, Gee-Sern, Huang, Wen-Fong, Yap, Moi Hoon

    Published in IEEE access (2020)
    “…We propose the Edge-Embedded Multi-Dropout (EEMD) framework for real-time face alignment. The EEMD framework extracts facial edge features and explores…”
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    Journal Article
  8. 8

    Wasserstein Divergence GAN With Cross-Age Identity Expert and Attribute Retainer for Facial Age Transformation by Hsu, Gee-Sern, Xie, Rui-Cang, Chen, Zhi-Ting

    Published in IEEE access (2021)
    “…We propose the Wasserstein Divergence GAN with an identity expert and an attribute retainer for facial age transformation. The Wasserstein Divergence GAN…”
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    Journal Article
  9. 9

    Multiview Gait Recognition on Unconstrained Path Using Graph Convolutional Neural Network by Shopon, Md, Hsu, Gee-Sern Jison, Gavrilova, Marina L.

    Published in IEEE access (2022)
    “…Human gait recognition is a valuable biometric trait with vast applications in security domain. In most situations, the gait data is collected while the…”
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    Journal Article
  10. 10

    Cross-Spectrum Thermal Face Pattern Generator by Cao, Xingdong, Lai, Kenneth, Hsu, Gee-Sern Jison, Smith, Michael, Yanushkevich, Svetlana N.

    Published in IEEE access (2022)
    “…Conversion of a visible face image into a thermal face image (V2T), or one thermal face image into another one given a different target temperature (T2T), is…”
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    Journal Article
  11. 11

    Masked Face Recognition From Synthesis to Reality by Hsu, Gee-Sern Jison, Wu, Hung-Yi, Tsai, Chun-Hung, Yanushkevich, Svetlana, Gavrilova, Marina L.

    Published in IEEE access (2022)
    “…As we have been seriously hit by the COVID-19 pandemic, wearing a facial mask is a crucial action that we can take for our protection. This paper reports a…”
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    Journal Article
  12. 12

    Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy by Hsu, Gee-Sern Jison, Kang, Jiunn-Horng, Huang, Wen-Fong

    Published in IEEE access (2019)
    “…We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell's palsy, is the most common type…”
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    Journal Article
  13. 13

    Regressive Tree Structured Model for Facial Landmark Localization by Hsu, Gee-Sern, Chang, Kai-Hsiang, Huang, Shih-Chieh

    “…Although the Tree Structured Model (TSM) is proven effective for solving face detection, pose estimation and landmark localization in an unified model, its…”
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    Conference Proceeding Journal Article
  14. 14

    Face recognition by facial attribute assisted network by Chan, Jui-Shan, Hsu, Gee-Sern Jison, Shie, Hung-Cheng, Chen, Yan-Xiang

    “…We propose the Facial Attribute Assistant Network (FAAN) for face recognition in the wild. The FAAN is developed to imitate some general human description of a…”
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    Conference Proceeding
  15. 15

    Application-Oriented License Plate Recognition by Hsu, Gee-Sern, Chen, Jiun-Chang, Chung, Yu-Zu

    Published in IEEE transactions on vehicular technology (01-02-2013)
    “…We split the applications of vehicle license plate recognition (LPR) into three major categories and propose a solution with parameter settings that are…”
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    Journal Article
  16. 16

    Facial Trait Code by LEE, Ping-Han, HSU, Gee-Sern, CHEN, Tsuhan, HUNG, Yi-Ping

    “…We propose a facial trait code (FTC) to encode human facial images, and apply it to face recognition. Extracted from an exhaustive set of local patches cropped…”
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    Journal Article
  17. 17

    A deep learning framework for heart rate estimation from facial videos by Hsu, Gee-Sern Jison, Xie, Rui-Cang, Ambikapathi, ArulMurugan, Chou, Kae-Jy

    Published in Neurocomputing (Amsterdam) (05-12-2020)
    “…Accurate heart rate is vital to acquiring critical physical data of human subjects. For this reason, facial video-based heart rate estimation has recently…”
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    Journal Article
  18. 18

    Dual-Generator Face Reenactment by Hsu, Gee-Sern, Tsai, Chun-Hung, Wu, Hung-Yi

    “…We propose the Dual-Generator (DG) network for largepose face reenactment. Given a source face and a reference face as inputs, the DG network can generate an…”
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    Conference Proceeding
  19. 19

    Hybrid Ageing Patterns for face age estimation by Ng, Choon-Ching, Yap, Moi Hoon, Cheng, Yi-Tseng, Hsu, Gee-Sern

    Published in Image and vision computing (01-01-2018)
    “…Wrinkles can be embedded in several image-based applications as a descriptor for human skin. However, wrinkle-based age estimation research has not been widely…”
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    Journal Article
  20. 20

    Face detection and landmark localization using Bilayer Tree Structured Model by Gee-Sern Hsu, Kai-Hsiang Chang, Shih-Chieh Huang, Sheng-Luen Chung

    “…Although the Tree Structured Model (TSM) is proven effective for face detection, pose estimation and landmark localization, its sluggish runtime makes it…”
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    Conference Proceeding