Dr. LIU Xueting (Tina)

Associate Professor | Programme Leader
Yam Pak Charitable Foundation School of Computing and Information Sciences


Key Research Areas

  • Computer graphics
  • Computer vision
  • Computational and intelligent art
  • Manga and anime analysis
  • Creative visual computing
  • Artistic content understanding, generation, stylization
  • Deep learning for artistic content

 

 

 

 

Core Areas of Expertise

Dr. Liu specializes in computer graphics and computer vision, with a strong emphasis on computational and intelligent art. Her work integrates deep learning with manga and anime analysis, creative visual computing, and artistic content understanding, generation, and stylization.

 

 Recent Publications

2025
  • Instance-guided anime editing with a curated large-scale dataset.
  • Screentone‐Preserved Manga Retargeting.
  • Robust Character Stroke Segmentation For Diverse Fonts Via Contour Matching and Chain Propagation.
2024
  • Sketch2manga: Shaded manga screening from sketch with diffusion models
  • Body part segmentation of anime characters
  • A Contrastive Unified Encoding Framework for Sticker Style Editing
  • Cartoon Animation Outpainting With Region-Guided Motion Inference
2023
  • Shading-guided manga screening from reference
  • Panel-page-aware comic genre understanding
  • Separating shading and reflectance from cartoon illustrations
  • AddCR: A data-driven cartoon remastering

 

 Awards & Patents

  • A Manga Segmentation Method and Device, China Patent CN104809721B.