Yafei Yang

I am a fourth-year PhD student (HKPFS) in the Department of Computing at The Hong Kong Polytechnic University, supervised by Prof. Bo Yang, co-supervised by Prof. Jiannong Cao.

Previously, I got my B.Eng degree from Department of Computer Science (double majoring in Finance) at The University of Hong Kong with First Class Honors, supervised by Prof. Wenping Wang.

In my undergraduate study, I have been exchanged to UC Berkeley and National University of Singapore.

My general research interests lie in computer vision and machine learning. Currently, I am focusing on object-centric representation learning, covering the segmentation and generation of objects.

Email / Google Scholar / Github

RayletDF: Raylet Distance Fields for Generalizable 3D Surface Reconstruction from Point Clouds or Gaussians
Shenxing Wei*, Jinxi Li*, Yafei Yang, Siyuan Zhou, Bo Yang
International Conference on Computer Vision (ICCV), 2025
Hightlight

arXiv / Code

We present a generalizable method for 3D surface reconstruction from raw point clouds or pre-estimated 3D Gaussians by 3DGS from RGB images. .

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
Yafei Yang, Zihui Zhang, Bo Yang
International Conference on Machine Learning (ICML), 2025
arXiv / Code

We study the challenging problem of unsupervised multi-object segmentation on single images.

GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
Zihui Zhang, Yafei Yang, Hongtao Wen, Bo Yang
International Conference on Learning Representations (ICLR), 2025
Spotlight

arXiv / Code

We propose an unsupervised framework to separate learning objectness and search objects in 3D scenes.

Benchmarking and Analysis of Unsupervised Object Segmentation from Real-World Single Images
Yafei Yang, Bo Yang
International Journal of Computer Vision (IJCV), 2024 (IF=11.6)

arXiv / Springer Access / Code

The journal version of our paper at NeurIPS 2022. Complete benchmark and analysis are included.

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
Yafei Yang, Bo Yang
Advances in Neural Information Processing Systems (NeurIPS), 2022
arXiv / Project Page/ Code

We systematically investigate the effectiveness of existing unsupervised models on challenging real-world images.

Recognition Award for The Most Appreciated Teaching Assistant (MATA) Award 2022/23.

Outstanding Award (top 1) for The Most Appreciated Teaching Assistant (MATA) Award 2023/24.

Fall, 2024: Machine Learning and Data Analytics (The Hong Kong Polytechnic University).

Spring, 2024: Creative Digital Media Design (The Hong Kong Polytechnic University).

Fall, 2023: Machine Learning and Data Analytics (The Hong Kong Polytechnic University).

Spring, 2023: Creative Digital Media Design (The Hong Kong Polytechnic University).

Spring&Fall, 2021&2022: Machine Learning and Data Analytics (The Hong Kong Polytechnic University).

Spring, 2019: COMP2396 Object-oriented Programming and Java (The University of Hong Kong).

Last update: 2025.06. Thanks.