I’m a PhD candidate in Computer Science and Engineering at the Hong Kong University of Science and Technology, supervised by Prof. Tristan Braud. I am fortunate to visit the Active Vision Laboratory, University of Oxford advised by Prof. Victor Prisacariu. I received my bachelor’s degree from Shanghai Jiao Tong University. Research Focus: Visual Localization, 3D Reconstruction, improve the user’s Augmented Reality (AR) and Virtual Reality (VR) experience.

🔥 News

  • 2024.04:  🎉🎉 Start visiting in the Active Vision Laboratory, University of Oxford! Thanks Shuai Chen for showing me around the University and Lab!
  • 2024.02:  🎉🎉 One paper is accepted in Conference on Computer Vision and Pattern Recognition (CVPR) 2024. Thanks to all coauthors!
  • 2024.01:  🎉🎉 One paper is accepted in International Conference on Robotics and Automation (ICRA) 2024. Thanks to all coauthors!

📝 Publications and Preprints

* equal contribution

arXiv 2024
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GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting

Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Ming Cheng, Zirui Wang, Victor Adrian Prisacariu, Tristan Braud. (arXiv 2024)

Project

  • GSLoc is a camera pose refinement framework that leverages 3D Gaussian Splatting for scene representation, combined with the 3D foundation model, MASt3R.
CVPR 2024
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360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries

Huajian Huang*, Changkun Liu*, Yipeng Zhu, Hui Cheng, Tristan Braud, and Sai-Kit Yeung (CVPR 2024)

Project

  • 360Loc is the first dataset and benchmark that explores the challenge of cross-device visual positioning, involving 360° reference frames, and query frames from pinhole, ultra-wide FoV fisheye, and 360° cameras.
ICRA 2024
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HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation

Changkun Liu, Shuai Chen, Yukun Zhao, Huajian Huang, Victor Prisacariu, and Tristan Braud (ICRA 2024)

Project

  • This work introduces a novel APR-agnostic framework, HR-APR, that formulates uncertainty estimation as cosine similarity estimation between the query and database features.

📖 Educations

  • 2021.09 - now, Ph.D. in Computer Science and Engineering, The Hong Kong University of Science and Technology.
  • 2017.09 - 2021.06, Bachelor of Engineering in Electronic Science and Technology, Shanghai Jiao Tong University.

💻 Experience

  • 2024.04 - now, Visiting Research Student at the University of Oxford, Oxford, UK.
  • 2020.06 - 2021.05, Intel Asia-Pacific R&D Ltd., Shanghai, China.
  • 2019.07 - 2019.08, University of Washington, Seattle, US.

🎖 Honors and Awards

  • 2024 Overseas Research Award in HKUST
  • 2021-now Postgraduate Studentship in HKUST
  • 2021 Outstanding Graduate of Shanghai Jiao Tong University (Top 20%)
  • 2020 Second-Class Scholarship Awarded by SCSK, Kabuskiki Kaisha in SJTU (Top 4%)
  • 2020 Class B Scholarship of SJTU
  • 2018, 2019 Class C Scholarship of SJTU

Academic Service

  • Reviewer: ICRA