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[Updated: 2021] This page is out of date, please visit my new website My name is Rui Ma (马锐). I'm working as a Research Scientist at AltumView Systems Inc, Canada. My previous and current research interests include computer graphics, computer vision, robotics and natural language processing. I'm motivated to learn, develop and apply state-of-the-art research into practical industrial applicaitons and products. I recieved my Ph.D. in Computer Science in 2018, from School of Computing Science, Simon Fraser University, Canada. At SFU, I worked in the GrUVi Lab under the supervision of Prof. Hao (Richard) Zhang for my PhD study. Before that, I obtained my M.Sc. and B.Sc. both in Computational Mathmatics from Jilin University, China. Email: ruim@sfu.ca LinkedIn Google Scholar |
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Rui Ma,
Akshay Gadi Patil,
Matthew Fisher,
Manyi Li,
Sören Pirk,
Binh-Son Hua,
Sai-Kit Yeung, Xin Tong, Leonidas Guibas, Hao Zhang. "Language-Driven Synthesis of 3D Scenes from Scene Databases". ACM Transactions on Graphics (SIGGRAPH Asia 2018), 37(6).
We introduce a novel framework for using natural language to
generate and edit 3D indoor scenes,
harnessing scene semantics and text-scene grounding knowledge learned from large
annotated 3D scene databases.
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Rui Ma,
Honghua Li,
Changqing Zou,
Zicheng Liao,
Xin Tong
and
Hao Zhang.
"Action-Driven 3D Indoor Scene Evolution". ACM Transactions on Graphics (SIGGRAPH Asia 2016), 35(6).
We introduce a framework for action-driven evolution of 3D indoor
scenes, where the goal
is to simulate how scenes are altered by human actions, and specifically, by object
placements
necessitated by the actions.
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Kai Xu,
Rui Ma,
Hao Zhang,
Chenyang Zhu,
Ariel Shamir,
Daniel Cohen-Or and
Hui Huang.
"Organizing Heterogeneous Scene Collection through Contextual Focal Points". ACM Transactions on Graphics (SIGGRAPH 2014), 33(4).
We introduce focal points for characterizing, comparing, and
organizing collections of complex
and heterogeneous data and apply the concepts and algorithms developed to
collections
of 3D indoor scenes.
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Ibraheem Alhashim,
Honghua Li,
Kai Xu,
Junjie Cao,
Rui Ma and
Hao Zhang.
"Topology-Varying 3D Shape Creation via Structural Blending". ACM Transactions on Graphics (SIGGRAPH 2014), 33(4).
We introduce an algorithm for generating novel 3D models via
topology-varying shape blending.
Given two shapes with different topology, our method blends them topologically and
geometrically,
producing continuous series of in-betweens representing new creations.
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Rui Ma
"Sub-Scene Level Analysis and Synthesis of 3D Indoor Scenes". SFU Ph.D. Thesis, 2017. [
Paper (74.2
MB) |
bibtex]
In this thesis, we address the problems of data-driven 3D indoor scene analysis and
synthesis via sub-scene level processing.
The goal is to improve the understanding of scene
structures through sub-scene level analysis and develop efficient systems to create
complex
scenes by manipulating sub-scenes instead of individual objects.
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Rui Ma
"Analysis and Modeling of 3D Indoor Scenes". SFU Depth Examination Report, 2017 Summer.
This report surveys the recent research progress in graphics
on geometry, structure and
semantic analysis of 3D indoor data and different modeling techniques for
creating
plausible and realistic indoor scenes.
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Rui Ma, Chao Shen, Yu Gao, Ye Lu, Minghua Chen, Jie Liang and
Jianbing Wu
AltumView Systems Inc., Canada "Obstacle Avoidance System based on Embedded Stereo Vision for Unmanned Aerial Vehicles". US Patent US10776939, Granted, 2020 |
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Him Wai Ng, Xing Wang, Yu Gao, Rui Ma and Ye Lu
AltumView Systems Inc., Canada "Enhanced Face-Detection and Face-Tracking for Resource-Limited Embedded Vision Systems". Published December 2018. US Patent US10691925, Granted, 2020 |
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Yu Gao, Xing Wang, Eric Honsch, Rui Ma, Chao Shen, Minghua Chen,
Ye Lu, Jie Liang and Jianbing Wu AltumView Systems Inc., Canada "High-Performance Visual Object Tracking for Embedded Vision Systems". Published December 2018. US Patent US20190304105, Published, 2019 |