About Me
I am Shi QIU (邱实). Currently, I am working as a Research Assistant Professor at the Department of Computer Science and Engineering, the Chinese University of Hong Kong (CUHK). I am also affiliated with CUHK’s Institute of Medical Intelligence and XR, led by Prof. Pheng Ann Heng. Previously, I obtained my PhD degree from ANU (with Data61-CSIRO), under the supervision of Dr. Saeed Anwar and Prof. Nick Barnes.
My current research focuses on 3D vision, visualization, human computer interaction, etc. I mainly explore these techniques with AI and Extended Reality (XR), especially for their applications in medical study.
For CUHK students: my student consultation hours are from 2:00 PM to 4:00 PM every Tuesday.
News
- One paper accepted in ECCV. Congrats to Runsong! (06/2024)
- Invited as a Guest Editor for Applied Sciences. (04/2024)
- Invited as an Area Chair for ACM MM’24. (01/2024)
- Direct Grant (PI, 150,000 HKD) approved. (12/2023)
- One paper accepted in WACV. (11/2023)
- Joined CUHK CSE. (09/2023)
- My PhD thesis is available on the ANU Open Research. (08/2023)
- One paper accepted in ICCV. Congrats to Ruikai! (07/2023)
- A survey of LLMs is available on arXiv. (07/2023)
- Qualified for HDR (MPhil, PhD) Supervisor at ANU. (04/2023)
- Delivered a seminar at CUHK CSE, HKSAR. (02/2023)
- Submitted PhD thesis. (12/2022)
- Completed PhD oral presentation. (12/2022)
- One paper accepted in BMVC. (09/2022)
- One paper accepted in ACCV. (09/2022)
- Joined Tencent’s XR Vision Labs as a research intern. (08/2022)
- Updating since 06/2022.
Publications
Profile Links: Google Scholar, CUHK CSE
- PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
R Zhu, S Qiu, Q Wu, KH Hui, PA Heng, CW Fu
European Conference on Computer Vision (ECCV), 2024
[arXiv][ECVA][supp][poster][project page] - SSP: Semi-Signed Prioritized Neural Fitting for Surface Reconstruction From Unoriented Point Clouds
R Zhu, D Kang, KH Hui, Y Qian, S Qiu, Z Dong, L Bao, PA Heng, CW Fu
IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
[CVF][supp][poster][project page] - P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
R Cui, S Qiu, S Anwar, J Liu, C Xing, J Zhang, N Barnes
IEEE International Conference on Computer Vision (ICCV), 2023
[arXiv][IEEE][CVF][supp][poster][project page] - A Comprehensive Overview of Large Language Models
H Naveed, AU Khan*, S Qiu*, M Saqib*, S Anwar, M Usman, N Akhta, N Barnes, A Mian
arxiv, 2023
[arXiv][project page] - PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis
J Hong*, S Qiu*, W Li, S Anwar, M Harandi, N Barnes, L Petersson
arxiv, 2022
[arXiv][project page] - Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion
Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes
British Machine Vision Conference (BMVC), 2022
[arXiv][BMVC][supp][poster][video][project page] - PU-Transformer: Point Cloud Upsampling Transformer
Shi Qiu, Saeed Anwar, Nick Barnes
Asian Conference on Computer Vision (ACCV), 2022
[arXiv][CVF][supp][poster][project page] - PnP-3D: A Plug-and-Play for 3D Point Clouds
Shi Qiu, Saeed Anwar, Nick Barnes
IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI), 2021
[arXiv][IEEE][project page] - Investigating Attention Mechanism in 3D Point Cloud Object Detection
Shi Qiu*, Yunfan Wu*, Saeed Anwar, Chongyi Li
International Conference on 3D Vision (3DV), 2021
[arXiv][IEEE][poster][project page] - Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu, Saeed Anwar, Nick Barnes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[arXiv][IEEE][CVF][supp][poster][project page] - Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu, Saeed Anwar, Nick Barnes
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
[arXiv][IEEE][CVF][supp][oral video][project page] - Geometric Back-projection Network for Point Cloud Classification
Shi Qiu, Saeed Anwar, Nick Barnes
IEEE Transactions on Multimedia (TMM, ESI Highly Cited Paper), 2021
[arXiv][IEEE][project page]
Education Background
- PhD in Engineering and Computer Science
The Australian National University, Australia (2019-2022) - MSc in ICT Innovation (Digital Media Technology) with Distinction
University College London, UK (2016-2017)
Supervised by: Dr. Sebastian Friston and Prof. Anthony Steed
KTH Royal Institute of Technology, Sweden (2015-2016) - Minor Degree in Entrepreneurship
EIT Digital Master School, EU (2015-2017) - BEng in Electronic and Information Engineering
Dalian University of Technology, China (2010-2015)
Work Experience
- Research Assistant Professor (09/2023-Now)
Dept of Computer Science and Engineering, CUHK, HKSAR - Research Intern (08/2022-11/2022)
Tencent’s XR Vision Labs, Canberra, Australia - Teaching Assistant (2020-2021)
ANU CECS, Canberra, Australia - Research PhD Student (2019-2023)
Data61 CSIRO, Canberra, Australia - Research Engineer (2018-2019)
Vivo AI Lab, Shenzhen, China
Teaching
- ENGG1120E Linear Algebra for Engineers (2024 Term 2, CUHK, Instructor)
- COMP6670 Introduction to Machine Learning (2020-2021, ANU, Tutor)
- ENGN4528 Computer Vision (2021 ANU, Tutor)
Research Interest
- 3D Computer Vision
- 3D VR/AR
- Medical XR
- Previously worked on point clouds related topics.
Professional Services
- Area Chair: ACM MM’24.
- Conference Reviewer: CVPR, ICCV, ECCV, AAAI, MICCAI, VR, ISMAR, etc.
- Journal Reviewer: TOG, TVCG, TIP, TCSVT, PR, RA-L, T-ITS, T-IV, ISPRS, etc.
Misc
- I am a national 2nd-level athlete (China) in Tennis.
- I have completed 10+ full/half marathons.
- I like football, cooking, music, etc.
Contact
- Email: shiqiu@cse.cuhk.edu.hk
- Email: shiqiu@cuhk.edu.hk
- Address: Ho Sin Hang Engineering Building, Shatin, HKSAR China