Shengyu Huang 黄盛宇

I am a 4th-year PhD student in Photogrammetry and Remote Sensing Lab of ETH Zürich, jointly advised by Konrad Schindler and Andreas Wieser. I will join NVIDIA Zürich as a Research Scientist this November. Previously, I was a Student Researcher at Google, and a Research Scientist Intern at NVIDIA.

I obtained my master degree in Geomatics Engineering from ETH Zürich. My undergraduate study was done in Shanghai, where I spent my first year in Mathematics but changed my direction and completed a bachelor in Surveying and Mapping Engineering at Tongji University.

I co-organize the ETH Geomatics Seminar, please reach out if you are interested in presenting. The previous grogram can be found here.

Email  /  Google Scholar  /  Github /  LinkedIn  /  Twitter  /  CV

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My research interest lies in 3D vision, machine learning and robotics. If you find my work interesting and would like to chat or want to do master thesis/semetser project with me, feel free to shoot me an e-mail!

* denotes equal contribution; # denotes mentored students.

Neural fields
clean-usnob Dynamic LiDAR Re-simulation using Compositional Neural Fields
Hanfeng Wu#, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindle, Shengyu Huang
CVPR, 2024, (Highlight)
CVPR Data-Driven Autonomous Driving Simulation Workshop, 2024, (Oral)
paper / code / project / bibtex
Supervised master thesis at ETH Zurich.

clean-usnob Neural LiDAR Fields for Novel View Synthesis
Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany
ICCV, 2023
ICCV Neural Fields for Autonomous Driving and Robotics Workshop, 2023, (Oral)
paper / project / poster / bibtex

clean-usnob Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler
CVPR, 2023
paper / project / video/ bibtex

clean-usnob ImpliCity: City Modeling from Satellite with Deep Implicit Occupancy Fields
Corinne Stucker, Bingxin Ke#, Yuanwen Yue#, Shengyu Huang, Iro Armeni, Konrad Schindler
ISPRS Congress, 2022, (Best Young Author Award)
paper / code / bibtex
Supervised semester project at ETH Zurich.
2D diffusion prior
clean-usnob Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler
CVPR, 2024, (Oral, Best Paper Award Candidate)
paper / code / project / bibtex

clean-usnob DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
Yuru Jia#, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
ECCV, 2024
paper / project / code (coming soon) / bibtex
Supervised master thesis at ETH Zurich.

Point clouds
clean-usnob Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
Liyuan Zhu#, Shengyu Huang, Konrad Schindler,Iro Armeni
CVPR, 2024, (Highlight)
paper / code / project / bibtex
Supervised master thesis at ETH Zurich.

clean-usnob NSS: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change
Tao Sun#, Yan Hao#, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni
arxiv, 2023
paper / code(coming soon) / project
Supervised student project for 3DV at ETH Zurich.

clean-usnob DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow
Liyuan Zhu#, Yuru Jia#, Shengyu Huang, Nicholas Meyer, Andreas Wieser,Konrad Schindler,Jordan Aaron
CVPR Workshop, 2023, (Best Paper Award)
paper / code / project / poster/ bibtex
Supervised semester project at ETH Zurich.

clean-usnob Dynamic 3D Scene Analysis by Point Cloud Accumulation
Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser,Konrad Schindler
ECCV, 2022
paper / code / project / video/ poster/ bibtex

clean-usnob PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang*, Zan Gojcic*, Mikhail Usvyatsov, Andreas Wieser,Konrad Schindler
CVPR, 2021, (Oral)
paper / code / project / video/ poster/ talk(中文) / bibtex

clean-usnob Indoor Scene Recognition in 3D
Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler
IROS, 2020
paper / code / video / bibtex


Ph.D. student, ETH Zurich, Oct. 2020 - present

Student Researcher, Google, July - December. 2023

Research Scientist intern, NVIDIA Toronto AI Lab, April - Dec. 2022

M.Sc. in Geomatics, ETH Zurich, Sep. 2018 - Aug. 2020

B.Eng. in Surveying and Mapping Enginnering, Tongji University, Sep. 2015 - June 2018

Freshman, Mathematics, Tongji University, Sep. 2014 - Sep. 2015

Academic Service

Workshop organizer: Neural Fields Beyond Conventional Camera at ECCV'24

Conference reviewer: Siggraph Asia'24, CVPR'21 & 22 & 23 &24, ICCV'21 & 23, ECCV'22, 3DV'22 & 23, IROS'20 & 21

Journal reviewer: ToG, T-PAMI, RA-L, ISPRS Journal


I am a die-hard Lakers fan, Kobe Bryant inspires me the most so far. During my undergraduate study, I fell in love with Chinese indie music, Zhi Li 李志 was one of my favorites, I admire him for bringing live music to rural areas in China, check his “叁叁肆”计划 if you are interested. I think 罗大佑 is the greatest Chinese singer. Besides research / work, I like running, hiking, photography, skiing, and playing basketball.

Last update: Feb. 2024. Thanks for the template.