Shengyu Huang

Shengyu Huang 黄盛宇

I am an incoming Research Scientist at Nvidia Dynamic Vision and Learning Group. I received my PhD from ETH Zürich in 2024, mainly advised by Konrad Schindler. Previously, I was an intern at NVIDIA and Google. 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.

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

Publications

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
	LoopSplat: Loop Closure by Registering 3D Gaussian Splats Liyuan Zhu, Yue Li,Erik sandström, Shengyu Huang, Konrad Schindler,Iro Armeni 3DV, 2025 paper / code / project / bibtex
	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.
	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
	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
	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
	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
	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
	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.
	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.
	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.
	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
	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
	Indoor Scene Recognition in 3D Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler IROS, 2020 paper / code / video / bibtex

Experience

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

Misc

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.