Renjie Wan

Assistant Professor

Department of Computer Science

Hong Kong Baptist University

Email: renjiewan [at] hkbu (dot) edu (dot) hk

Personal Email (Preferred): 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.

For all paper review requests, please send invitations to my Personal Email.

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

Collaborators in PKU

Chengxuan Zhu
Yean Cheng
Xuanning Cui
Yunkai Tang

Teaching

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

Selected Publications (*corresponding author)

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan*

ICCV 2023/ Project Page with Paper and Code

Cross-Image Disentanglement for Low-Light Enhancement in Real World

Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot, Bihan Wen

TCSVT 2023

Occlusion-Free Scene Recovery via Neural Radiance Fields

Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi

CVPR 2023/ Paper/ Project Page with Code

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

Purifying Low-light Images via Near-Infrared Enlightened Image

Renjie Wan, Boxin Shi, Wenhan Yang, Bihan Wen, Ling-Yu Duan, Alex C. Kot

TMM 2022/ Paper

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

Reflection scene separation from a single image

Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot

CVPR 2020

Learning to jointly generate and separate reflections

Daiqian Ma, Renjie Wan, Ce Wang, Boxin Shi Ling-Yu Duan

ICCV 2019

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