Team Lead · 3D Scan & Reconstruction · Style.me

Kaiju Chen 陳楷儒

Self-motivated engineer and team player with 10+ years of experience building fully-automated clothing digitizing systems for virtual try-on services. Expert in computer vision, 3D reconstruction, and deep learning, delivering measurable impact for 40+ global fashion brands.

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10+
Years Experience
8×
Faster Post-Production
50%
Return Reduction
40+
Brands Served

Experience

Professional journey & key contributions

Style.me

Team Lead, 3D Scan & Reconstruction

July 2013 – Present

Taipei City, Taiwan

  • – Lead a team of six engineers developing 3D scanning and reconstruction algorithms, consistently delivering features on schedule.
  • – Architected and implemented a fully-automated clothing digitalization pipeline — 8× faster than manual post-production.
  • – Developed a fully-automated camera calibration algorithm (intrinsic & extrinsic) for RGB and depth cameras, saving 30 minutes of traditional setup per session.
  • – Built depth-camera-based reconstruction algorithms covering all clothing types.
  • – Generated 4K-resolution textures for 3D models using computer vision and deep learning pipelines.
  • – Trained deep learning models for alpha-matte prediction on translucent fabrics such as lace and chiffon.
  • – Implemented geometry processing algorithms: Laplacian smoothing, collision detection, collision handling, 3D object segmentation, and UV unwrapping.
  • – Developed GAN-based image inpainting to automate texture repair.
  • – Defined quality standards and built an automated quality-check scoring system for reconstruction results.
  • – Implemented face reconstruction: 3D avatar customization from a single front-facing image using 3DMM and SynergyNet.
  • – Developed tools for converting 3D models into AR-ready formats.
Computer Vision 3D Reconstruction Deep Learning GANs C/C++ Python TensorFlow PyTorch OpenCV
CyberLink

Software Engineer

Sep 2008 – June 2011

New Taipei City, Taiwan

  • – Implemented application-layer features for PowerDVD 8, 9, and 10.
  • – Built UI components including file browser, file/DVD/BD/UPnP playback using low-level Win32 APIs.
  • – Analyzed and optimized PowerDVD startup performance.
C++ Win32 MFC PowerDVD

Skills

Technical expertise across the stack

Programming Languages

C/C++ Python Matlab

Frameworks & Libraries

TensorFlow PyTorch OpenCV MFC Win32

Developer Tools & Infrastructure

AWS Docker Git Jenkins CMake SVN

Domain Expertise

Computer Vision 3D Reconstruction Deep Learning GANs 3DMM Camera Calibration Alpha Matting UV Unwrapping AR Assets

Education

Academic background

Sep 2011 – June 2013

Ph.D. Candidate in Computer Science

National Chiao Tung University

Hsinchu, Taiwan

Research interests: neural networks, pattern recognition, optimization theory, artificial intelligence

Sep 2005 – June 2007

M.S. in Multimedia Engineering

National Chiao Tung University

Hsinchu, Taiwan

Thesis: Simulated annealing for pattern recognition and seismic applications

Sep 2001 – June 2005

B.S. in Computer Science

National Chiao Tung University

Hsinchu, Taiwan

Publications

Peer-reviewed research contributions

1

“Hough transform neural network for pattern detection and seismic applications”

Kou-Yuan Huang, Kai-Ju Chen, Jiun-Der You, and An-Ching Tung

Neurocomputing (Special Issue) — Vol. 71, Oct. 2008, pp. 3264–3274

2

“Simulated annealing for pattern detection and seismic applications”

Kou-Yuan Huang and Kai-Ju Chen

Journal of Information Science and Engineering — Vol. 25, No. 3, May 2009, pp. 793–805

3

“Multilayer Perceptron for Prediction of 2006 World Cup Football Game”

Kou-Yuan Huang and Kai-Ju Chen

Advances in Artificial Neural Systems, Hindawi Publishing — Volume 2011, Article ID 374816