Curriculum Vitae

Guofeng (Ryan) Mei · Researcher in 3D Computer Vision, Machine Learning, and Deep Learning

Profile

I am a researcher at Fondazione Bruno Kessler (FBK), Technologies of Vision (TeV), Trento, Italy. My research focuses on 3D vision-language models, 3D scene understanding, point cloud registration and representation learning, embodied AI, and efficient learning.

Email: gfmeiwhu@outlook.com Alt email: guofengmei@whu.edu.cn Office: FBK - DI Center - TeV, Via Sommarive, 18, 38123 Trento, Italy

Work and Research Experience

May 2023 - Current

Researcher

Fondazione Bruno Kessler, Trento, Italy

  • Conduct research in AI, 3D vision, and vision-language models.
  • Develop and evaluate models for 3D scene understanding and multimodal learning.
  • Supervise Ph.D. students and support junior researchers.
Aug. 2019 - Mar. 2023

Ph.D. Researcher

University of Technology Sydney, Sydney, Australia

  • Researched robust 3D point cloud registration, correspondence estimation, and geometric feature learning.
  • Designed unsupervised learning methods for 3D point cloud representation learning.
2016 - 2019

Algorithm Engineer roles

Xiaomi Corporation, Mogu Inc., ZTE Corporation, and Eisoo Ltd.

  • Worked on NLP, recommendation, search, anomaly detection, distributed data processing, and computer vision applications.

Education

Aug. 2019 - Mar. 2023

Ph.D. in Computer Science

University of Technology Sydney, Australia. Thesis: Robust 3D Point Cloud Registration Based on Deep Learning and Optimization. Supervisor: Prof. Jian Zhang.

Jan. 2022 - Aug. 2022

Visiting Ph.D. Student

University of Trento, Italy. Research topic: Unsupervised 3D Point Cloud Representation Learning. Supervisor: Prof. Nicu Sebe.

Sep. 2013 - Jun. 2016

M.Sc. in Computational Mathematics

Wuhan University, China. Thesis: Optimization-based Structure Identification in Complex Networks. Supervisor: Prof. Xiaoqun Wu.

Selected Publications

  1. Guofeng Mei, Wei Lin, Luigi Riz, Yujiao Wu, Fabio Poiesi, Yiming Wang. Efficient Encoder-Free Fourier-based 3D Large Multimodal Model. CVPR, 2026.
  2. Qinfeng Xiao†, Guofeng Mei†, Bo Yang, Liying Zhang, Jian Zhang, Kit-lun Yick. Universal 3D Shape Matching via Coarse-to-Fine Language Guidance. CVPR, 2026.
  3. Wentao Qu†, Guofeng Mei†, Yang Wu, Yongshun Gong, Xiaoshui Huang, Liang Xiao. A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation. CVPR, 2026.
  4. Guofeng Mei, Wei Lin, Luigi Riz, Yujiao Wu, Fabio Poiesi, Yiming Wang. PerLA: Perceptive 3D Language Assistant. CVPR, 2025.
  5. Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi. Vocabulary-Free 3D Instance Segmentation with Vision and Language Assistant. 3DV, 2025.
  6. Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi. Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding. CVPR Highlight, 2024.
  7. Guofeng Mei, Hao Tang, Juan Liu, Xiaoshui Huang, Jian Zhang, Qiang Wu, Luc Van Gool. Unsupervised Probabilistic Approach for Point Cloud Registration. CVPR, 2023.
  8. Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Elisa Ricci, Nicu Sebe, Qiang Wu, Jian Zhang. Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering. IJCV, 2024.

†Equal contribution. See the publications page for a longer list.

Skills

Programming: Python, C/C++, Java, Scala, MATLAB

Libraries: PyTorch, TensorFlow, Scikit-learn, NumPy, OpenCV, Open3D

Data and tools: Apache Spark, Hadoop, Hive, MySQL, Microsoft SQL Server, Redis

Development: Git, Docker, SLURM, Linux, macOS, Windows, LaTeX

Languages: English and Mandarin Chinese

Professional Service

Journal reviewer: TPAMI, TIP, TMM, TMC, TVCG, TCSVT, CIM, RA-L, PR, and CVIU.

Conference reviewer: CVPR, ICCV, ICML, ICLR, NeurIPS, ECCV, ACM MM, ICRA, WACV, BMVC, ICME, ICASSP, and IROS.

Honors and Awards

  • Outstanding Reviewer, ECCV Program Committee, 2026.
  • Silver Reviewer, ICML Program Committee, 2026.
  • Outstanding Reviewer, ICCV Program Committee, 2025.
  • Outstanding Reviewer, CVPR Program Committee, 2025.
  • Outstanding Reviewer, CVPR Program Committee, 2024.
  • Gold Reviewer, NeurIPS Program Committee, 2024.
  • UTS International Research Scholarship (Top 2%), Australia, 2019–2023.
  • UTS President's Scholarship (Top 5%), Australia, 2019–2023.
  • Graduate Student Academic Innovation Scholarship, China, 2017 and 2018.
  • Outstanding Graduate Student of Wuhan University, China, Spring 2016.
  • National Scholarship for Graduate Students (Top 1%), China, Fall 2014.
  • Excellent Graduation Thesis of Hubei Province (Top 5%), China, Spring 2013.
  • National Encouragement Scholarship for Undergraduate Students, China, Fall 2012.
  • First Prize, National Undergraduate Mathematics Contest (Top 5%), China, Fall 2012.
  • National Scholarship for Undergraduate Students (Top 1%), China, Fall 2011.