Renjie Wan
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Renjie Wan

Assistant Professor
Department of Computer Science
Hong Kong Baptist University
Email: wanpeoplejie [at] gmail (dot) com

Google Scholar / Twitter / HKBU Scholars

Current Research Interests
  • Neural Radiance Fields
  • Implicit Neural Representation
  • Image Processing
  • AI security

I am an Assistant Professor at the Department of Computer Science of Hong Kong Baptist University.

I obtained my Ph.D. degree from NTU in 2019 supervised by Prof. Alex C. Kot, Prof. Boxin Shi, and Prof. Tan Ah Hwee.

Before joining HKBU, I was a Wallenberg-NTU Presidential Postdoctoral Fellow of Nanyang Technological University from 2020 to 2022.

I have several Ph.D. openings at this moment. If you want to work with me in the future, please feel free to drop me an email. All emails/CVs are carefully read and evaluated. Only matched candidates will be responded.

Renjie's Research Group

Ph.D. Students
  • Ziyuan Luo (Fall 2022)
  • Qi Song (Fall 2023)
  • Ruofei Wang (Fall 2023)
  • Xiufeng Huang (Fall 2023)
Research Assistants
  • Yangyi Zhao
  • Langxi Huang

Teaching

  • COMP3065: AI Application Development, Spring 2023/2024/2025, HKBU
  • COMP7035: Python for Data Analysis and Machine Intelligence, Fall 2022/2023/2024, HKBU

Selected Publications (*corresponding author)

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Neural Underwater Scene Representation
Yunkai Tang, Chengxuan Zhu, Renjie WAN*, Chao Xu, Boxin Shi*
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Colorizing Monochrome Radiance Fields
Yean Cheng, Renjie WAN*, Shucheng Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi*
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CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan*
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Cross-Image Disentanglement for Low-Light Enhancement in Real World
Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot, Bihan Wen
TCSVT 2023/ Code
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Occlusion-Free Scene Recovery via Neural Radiance Fields
Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi
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Coarse-to-fine Disentangling Demoiring Framework for Recaptured Screen Images
Ce Wang, Bin He, Shengsen Wu, Renjie Wan, Boxin Shi, Ling-Yu Duan
TPAMI 2023
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Purifying Low-light Images via Near-Infrared Enlightened Image
Renjie Wan, Boxin Shi, Wenhan Yang, Bihan Wen, Ling-Yu Duan, Alex C. Kot
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Neural Transmitted Radiance Fields
Chengxuan Zhu, Renjie Wan, Boxin Shi
NeurIPS 2022 / Paper / Project Page
Benchmarking Single Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Haoliang Li, Yuchen Hong, Ling-Yu Duan, Alex C. Kot
TPAMI 2022 / Paper / Project Page
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan*, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
AAAI2022/ Paper/ Project webpage
Learning Meta Pattern for Face Anti-Spoofing
Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, Alex C. Kot
IEEE Transactions on Information Forensics & Security, 2022
Face Image Reflection Removal
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
International Journal of Computer Vision 2020
CoRRN: Cooperative Reflection Removal Network
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
TPAMI 2019/ Dataset/ Code
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
CVPR 2018/ Paper
Region-Aware Reflection Removal with Unified Content and Gradient Priors
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Gao Wen, Alex C. Kot
IEEE Transactions on Image Processing 2018/ Paper
Benchmarking Single-Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
International Conference on Computer Vision 2017/ Paper
Depth of field guided reflection removal
Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot
International Conference on Image Processing 2016/ Code