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Feilin Han 韩菲琳

fiona  M.A. Supervisor
Department of Film and TV Technology,
Beijing Film Academy,
Xitucheng Road 4, Beijing, China
E-mail: hanfeilin at bfa dot edu dot cn

Biography

My research interests mainly lie in Film PreViz and Virtual Production, especially in 3D Human Digitalization (i.e., Motion Capture, Real-time Animation, Modeling) and Cinematic Virtual Reality (i.e., Virtual Cinematography, Camera Motion Control). I am also interested in human-AI interaction solutions for computer vision and virtual reality.

I got my Ph.D. degree at Zhejiang University in 2019, working in the College of Computer Science and Technology, and majoring in Digital Art and Design, and got B.Eng. degree in Digital Media Technology at Shandong University in 2014. I spent rewarding time at National Centre for Computer Animation in 2017, Taiwan Tsing Hua University in 2013, and the University of California, Los Angeles in 2011.

I am looking for M.A. or MFA students to join our team, who are self-motivated and studying computer science, digital media technology, or related major with an engineering background. I hope you are good at programming and English, and highly interested in digital film technology. Don't hesitate to contact me via email, with your CV, transcripts, papers (if applicable), research proposal, and other representative materials you want present.

Selected Publications

icvrv2022 
  • A Metadata Generation System with Semantic Understanding for Video Retrieval in Film Production
    Feilin Han, Zhaoxu Meng
    IEEE International Conference on Virtual Reality and Visualization(ICVRV), 2022, EI, Oral, BEST PAPER AWARD

chinavr2022 
  • Application of Sketch-based Modeling in Film Previs
    Ying Zhong, Feilin Han
    ChinaVR 2022, Oral

icme2022 
JAMPT2022 
chinamm2021 
  • Research on Semantic Annotation for Film Media Management
    Zhaoxu Meng, Feilin Han
    ChinaMM, 2021

mm2018 
eccv2016 

Projects

Research on the application and influence of artificial intelligence on film production, PI
Supported by National Social Science Fundation Art Project, 2021.1 - 2022.12

Multi-view Learning Methods in Marker-less 3D Human Motion Capture, PI
Supported by Beijing Natural Science Foundation, 2021.1 - 2022.12

Research on Real-time Motion Capture in Film Virtual Production, PI
Supported by Beijing Municipal Education Commission Fundation, 2021.1 - 2023.12