Ruiqi Wang



Ph.D Student

Simon Fraser University

News

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07/2024
MVP-SEG, the work I did in 2022, is finally accepted to ECCV 2024.
06/2024
Starting my internship as an Applied Scientist at Amazon Science.

About Me

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I am a Ph.D student in GrUVi Lab at Simon Fraser University, supervised by Prof. Hao(Richard) Zhang.
I have a board interest in computer vision and graphics with deep learning methods. My current research focuses on image understanding and Multi-modal Large Language Models.

Before joined SFU, I received my M.S. degree in Machine Learning and Computer Vision from The Australian National University, under the supervision of Prof. Stephen Gould in December, 2020, with distinction. I completed my B.Eng degree in Digital Media Technology at Beijing Normal University, under the supervison of Prof. Bo Lang in June, 2018, finishing the 4-year program in 3 years.

Publications

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AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising
preprints 2024
Presented a novel diffusion-based method for 2D motion analogies that is applied to raw, unannotated videos of articulated characters.
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Image
ECCV 2024
Introduced the first active learning (AL) framework for high-accuracy instance segmentation of moveable parts from RGB images of real indoor scenes.
Towards Interpretable Attention Networks for Cervical Cancer Analysis
EMBC 2021
Presented an interpretable deep learning model with residual attention for cervical cancer image analysis.

Working experience

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  • Applied Scientist Intern, Amazon Science, 2024/06 - 2024/10
  • Visiting Scientist, Data61 at CSIRO, 2020/11 - 2021/05


  • Awards

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  • Ph.D. Research Scholarship, Simon Fraser University, 2023, 2024
  • Graduate Fellowship, Simon Fraser University, 2023
  • Bruce Hall Residential Scholarship, The Australian National University, 2019-2020
  • Excellent Graduate Scholarship, Beijing Normal University, 2018
  • Dean’s Honour Roll, Beijing Normal University, 2016, 2017 and 2018


  • TAs

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    SFU

  • Summer 2023: CMPT 729 Reinforcement Learning, under Prof. Jason Peng.
  • Spring 2023: CMPT 713 Natural Language Processing, under Prof. Angel Chang.
  • ANU

  • S2 2020: COMP1730/COMP6730 Programming for Scientist, under Prof. Patrik Haslum
  • S2 2020: COMP3670/COMP6670 Introduction to Machine Learning, under Prof. Liang Zheng.


  • Services

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  • Conflict of Interest Coordinator, SIGGRAPH ASIA 2024
  • Reviewer, CVPR 2025