About Me

I’m now a first-year PhD student in computer science at the University of Maryland (College Park), working with Prof. Matthias Zwicker. Before that, I got my master’s degree in Data Science and Information Technology at TBSI, Tsinghua University(THU), supervised by Prof. Lu Fang and Prof. Qionghai Dai. Prior to that, I spent wonderful 4 years at Sun Yat-Sen University(SYSU), and obtained my bachelor’s degree in 2021.

My research interests mainly lie in 3D computer vision, especially in:

3D Representation: Geometric Primitive based 3D Modeling (such as Quadrics and CAD)
3D Reconstruction: Semantic-aware Reconstruction and Rendering from images and video
3D Understanding: Hierarchical 3D Scene Parsing and Navigation

My goal is to model, reconstruct, and manipuate the 3D world in a more efficient and interpretable manner.

News

[Feb. 2024] Our paper SketchSplat is accepted by ICCV 2025! Code will be available soon!
[Feb. 2024] Our paper OmniSeg3D is accepted by CVPR 2024 and code is available now!
[July. 2023] Our paper PARF is accepted by ICCV 2023!
[July. 2022] Our paper ParseMVS is accepted by ACM MM 2022!

Publications

	SketchSplat: 3D Edge Reconstruction via Differentiable Multi-view Sketch Splatting Haiyang Ying, Matthias Zwicker^† (ICCV 2025) The International Conference on Computer Vision 2025 [ArXiv] [Code(coming soon)]
	OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Fu Fang^† (CVPR 2024) [ArXiv] [Project Page] [Code]
	PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis Haiyang Ying, Baowei Jiang, Jinzhi Zhang, Di Xu, Tao Yu^†, Qionghai Dai, Fu Fang^† (ICCV 2023) The International Conference on Computer Vision 2023 [ArXiv] [Paper] [Project Page] [Code(coming soon)]
	ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis Haiyang Ying^, Jinzhi Zhang^, Yuzhe Chen, Zheng Cao, Jing Xiao, Ruqi Huang^†, Fu Fang^† The 30th ACM International Conference on Multimedia (ACM MM 2022) [Paper][Code]

Research Experiences

Semantic-Aware Indoor Scene Reconstruction and Rendering Sep. 2022 – May. 2023 Propose a semantic-aware hybrid representation for indoor scene modeling.
Design a framework for fast indoor scene reconstruction and rendering with RGB-D input.
Implement the proposed framework based on Instant-NGP to achieve higher-quality rendering.
Mentor: Prof. Lu Fang and Tao Yu
Semantic-Aware Sparse View 3D Reconstruction Sep. 2021 – Aug. 2022
Propose a semantic-based representation to encode geometry, texture, and visibility on primitives.
Design a pipeline for multi-view 3D reconstruction under sparse observations.
Explore the capacity of implicit function for local representation and optimization.
Mentor: Prof. Lu Fang and Prof. Ruqi Huang
Dynamic Vascular 3D Reconstruction (B.S. Thesis) Oct. 2020 – Aug. 2021
Propose to model 3D dynamic tissue with implicit representation.
Design a pipeline for 3D reconstruction with multi-view cone beam CT images.
Mentor: Prof. Lu Fang

Education

Ph.D. student, Computer Science
Sept. 2024 - Present, University of Maryland (College Park), US.
M.Phil., Data Science and Information Technology
Sept. 2021 - Jun. 2024, Tsinghua University, China.
B.Eng., Electronic Information Science and Technology
Sept. 2017 - Jun. 2021, Sun Yat-Sen University, China.

Honors & Awards

2021, Excellent Graduate, Sun Yat-Sen University.
2019, 2020, National Scholarship, the Minister of Education, China.
2018, 1nd Prize, College Electronic Design Competition, Guangdong, China.
2018, 2019, 2020, Excellence Student the 1st-class Scholarship, Sun Yat-Sen University.
2018, AEON Scholarship, Sun Yat-Sen University.

Teaching Experiences

Fall 2022, Teaching Assistant, Tsinghua University.
Course: Media and Cognition (English)
Fall 2023, Teaching Assistant, Tsinghua University.
Course: Machine Vision (English)

Haiyang Ying