I am a Researcher at at Camera Intelligence Lab, Peking University. My current research area lies on Computational Photography and Photometric Stereo. Specifically, I explore the field of illumination planning in photometric stereo, focusing on optimizing lighting conditions to achieve comparable performance to that of large-scale images while using a minimal number of images. I am pursuing my PhD in Peking University’s Computer Science Department with Prof. Boxin Shi. Prior to that, I received my Master degree of Computer Science and Engineering from Sejong University, South Korea.

Contact

junhoong95_AT_stu_DOT_pku_DOT_edu_DOT_cn.

News

• [26/08/2023] ReLeaPS code is released on github.
• [13/07/2023] ReLeaPS (Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo) is accepted by International Conference of Computer Vision (ICCV) 2023.
• [01/09/2021] Pursuing Ph.D in Computer Applied Technology with Prof. Boxin Shi at Camera Intelligence Lab, Peking University.

Education

• B.S. in Manufacturing Engineering, University of Malaya, 2019
• M.S. in Computer Science and Engineering, Sejong University, 2021
• Ph.D in Computer Applied Technology, Peking University, 2025 (expected)

Work experience

• July 2021-August 2022: Research Assistant @ HCI Lab, Sejong University
  • Autonomous Navigation with Deep Reinforcement Learning
  • Supervisor: Professor Yong-Guk Kim
• June 2018-August 2018: Intern Research Assistant @ HCI Lab, Sejong University
  • Car and drone navigation in AirSim for obstacle avoidance
  • Supervisor: Professor Yong-Guk Kim

Publications

ReLeaPS: Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo

Chan, Jun Hoong, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, and Boxin Shi. "ReLeaPS: Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo." In International Conference on Computer Vision, 2023.

Estimating spatially-varying lighting in urban scenes with disentangled representation

Tang, Jiajun, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li, and Boxin Shi. "Estimating spatially-varying lighting in urban scenes with disentangled representation." In European Conference on Computer Vision, pp. 454-469. Cham: Springer Nature Switzerland, 2022.