Hao (Richard) Zhang (张皓)
GrUVi Lab, School of Computing Science, SFU.
Email: haoz @ sfu . ca
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I am a Full Professor in the School of Computing Science at SFU, an Amazon Scholar, and I
hold a Distinguished University Professorship.
I obtained my Ph.D. from the Dynamic Graphics Project (DGP) at the University of Toronto, and
MMath and BMath degrees from the University of Waterloo.
I direct the GrUVi (Graphics U Vision) Lab, one of the
top places in the world to conduct computer graphics and
computer vision research.
My research is in computer graphics and more broadly, visual computing, with special
interests in geometric modeling, shape analysis, 3D vision, geometric deep learning, and computational design and fabrication.
I have published more than 180 papers on these topics, including
65+ articles in SIGGRAPH (+Asia) and ACM Trans. on Graphics (TOG),
the top venue in computer graphics, and I have an Erdös
number of 3. My research has been sponsored by Adobe, Autodesk, Boeing, Google, Huawei, MITACS, and NSERC.
I am privileged to have worked with many excellent students and postdocs. As of 2022, twelve of them are working as professors themselves.
Awards and honours won by my current and past students include
the Alain Fournier Best Graphics Thesis Award,
Asia Graphics Young Researcher Award,
National Science Fund for Outstanding and Excellent Young Scholars in China (1 杰青, 2 优青), Azrieli Postdoc Fellowship, winners/finalists of Google, NVidia and Adobe PhD Fellowships,
as well as CVPR 2020 Best Student Paper Award and
Best Paper Award at SGP 2008. Major companies where my students have interned include Adobe, Amazon, Facebook (now Meta),
Google, Huawei, and NVidia.
In my spare time, I play badminton regularly, run about 5-10K per week, ski on blue/black runs (see a recent video of Grouse Mountain skiing with kids), and occasionally come up with
cool puzzles to "challenge" prospective grad students.
- [pinned] First ICCV Workshop on 3D Vision and Modeling Challenges in eCommercei, in Paris, October 2, 2023. This is an effort that I intiated at Amazon. Our Amazon team will also present the paper, HAL3D: a hierarchical active learning tool for fine-grained 3D part labelingi, which resulted from work done by my PhD Fenggen Yu as an Amazon intern.
- [pinned] Introducing DS-Fusion (check out the fun video!), to be presented at ICCV 2023. It is a discriminated diffusion based method to automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word, while ensuring that the output remains readable.
- [pinned] A feature story from Amazon Science on my recent CHCCS Achievement Award and my work at Amazon.
- [new] November 22, 2023: Elevated to IEEE Fellow, class of 2024.
- [new] September 26, 2023: We will be presenting two papers at ICCV 2023 in Paris, two papers at NeurIPS 2023 in New Orleans, and four papers at SIGGRAPH Asia in Sydney, Australia! Congratulations to Maham, Fenggen, Qimin,
Aditya, Yizhi, Akshay, Hang, and Zhiqin, along with all my collaborators.
- [new] August 21, 2023: Please check out our latest survey on Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes, in the form of
a Eurographics State-of-the-Art Report (STAR). Great job, Akshay!
- [new] August 1, 2023: I delivered a keynote talk at the Amazon Computer Vision Conference (ACVC) at Palo Alto on August 18.
- [new] June 18, 2023: Join us today for the second workshop on Structural and Compositional Learning on 3D Data at CVPR 2023 in Vancouver.
- [new] June 17, 2023: Congratulations to Akshay and Zhiqin for their successful PhD defenses yesterday. Both theses and defenses received the distinction of "pass as is"! I am proud of you!
- [new] April 6, 2023: I delivered a keynote talk on "An Evolution of Learning Neural Implicit Representations for 3D Shapes" at Computational Visual Media (CVM) 2023.
- [new] March 20, 2023: Welcome Yizhi Wang who has started his postdoc in 2023. Yizhi obtained his PhD from PKU in 2022 and before arri
ving in Vancouver, he made a short visit to Shenzhen University and worked there on a collaborative project on neural 3D reconstruction, ARO-Net, which will be presented at CVPR 2023.
- October 18, 2022: Welcome Dingdong Yang who will be starting his PhD in Spring 2023. Dingdong’s latest stint was as a computer vision engineer at Bytedance, the parent company of TikTok. He obtained his MSc degree from the University of Michigan and Bachelor’s degree from Nanjing University.
- September 8, 2022: Nice to see that three of our papers, GRASS, GRAINS, and SDM-Net, are among the list of Top 103 (H5-index) SIGGRAPH/TOG papers in terms of 5-year citations.
- September 3, 2022: Welcome Yilin Liu, a new PhD to join my group from
Prof. Hui Huang's Visual Computing Research Center at Shenzhen University. Yilin comes
to SFU with already three SIGGRAPH (+Asia) papers, one ECCV paper, and a dataset award under his belt!
- August 7, 2022: A very successful SFU Pre-SIGGRAPH Visual Computing Workshop was held
at SFU downtown campus.
- June 2, 2022: Honored to receive the 2022 Canadian
Human-Computer Communications Society (CHCCS) Achievement Award in computer graphics. I gave an award keynote at Graphics Interface 2022 in Montreal. See also an Amazon Science Feature about the Award and my role at Amazon.
- March 3, 2022: Three papers accepted to CVPR 2022, all on neural implicits:
UNIST (Unpaired Neural Implicit Shape Translation) - aka IM(Implicit)-LOGAN,
RIM-Net (Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures), and
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly - aka BSP-Net+++.
while acknowledging Autodesk for their gift fund support!
- February 28, 2022: Congratulations to Manyi who has officially started as an Associate Researcher
at School of Software, Shandong University.
- November 29, 2021: Starting as an Amazon Scholar today.
... More ...
There is a pleasure in the pathless woods;
There is a rapture on the lonely shore;
There is society, where none intrudes,
By the deep sea, and music in its roar;
I love not man the less, but Nature more.
- Lord Byron