Researcher in 3D vision, language, and embodied AI
Guofeng (Ryan) Mei
Researcher at Technologies of Vision (TeV), Fondazione Bruno Kessler (FBK).
I work on 3D vision-language models, point cloud understanding, embodied AI, and efficient learning, with a focus on methods that connect geometry, semantics, and real-world interaction.
"Never underestimate your power to change yourself!"
Guofeng Mei (梅国锋) currently serves as a researcher at Technologies of Vision (TeV), Fondazione Bruno Kessler, Italy. He works with Dr. Fabio Poiesi. He earned his Ph.D. in 2023 from the Faculty of Engineering and Information Technology at the University of Technology Sydney, Australia, supervised by Prof. Jian Zhang. Before this, between 2013 and 2016, Guofeng completed his Master's degree at the School of Mathematics and Statistics, Wuhan University, China, under the supervision of Prof. Xiaoqun Wu. In addition, Guofeng has had the opportunity to be a visiting scholar at the Multimedia and Human Understanding Group at the University of Trento, Italy, under the guidance of Prof. Nicu Sebe.
His research interests span optimization, computer vision, natural language processing, and machine learning. He particularly focuses on:
News
| 2026-04 | New 2026 publications were added from Google Scholar, including CVPR 2026 and CVPRW/NTIRE 2026 papers. |
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| 2025-06 | One paper was accepted to ICCV 2025. |
| 2025-06 | Two papers were accepted to IROS 2025. |
| 2025-02 | One paper was accepted to CVPR 2025. |
| 2025-01 | Two papers were accepted to AAAI 2026. |
| 2024-11 | Two papers were accepted to 3DV 2025. |
| 2024-09 | One paper was accepted to ACCV 2024. |
| 2024-07 | One paper was accepted to TCSS 2024 and another to ICPR 2024. |
| 2024-02 | Two papers were accepted to CVPR 2024. |
| 2024-02 | One paper was accepted to IJCV 2024. |
| 2024-01 | One paper was accepted to ICRA 2024. |
| 2023-03 | One paper was accepted to CVPR 2023. |
| 2022-10 | One paper was accepted to BMVC 2022 (Oral). |
| 2022-02 | One paper was accepted to ICME 2022 (Oral). |
Featured Publications (†Equal Contribution, *Corresponding Author(s))
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Publications in 2026
A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene GenerationIn CVPR (CORE A*, CCF A), 2026 -
Publications in 2025
TVEG: Model Selection of the Time-Varying Exponential Family Distributions Graphical ModelsIn IEEE Transactions on Network Science and Engineering, 2025 -
Publications in 2024
Point Cloud Pre-training with Diffusion ModelsIn CVPR (CORE A*), 2024, Seattle WA, USAPDF Code (coming soon) -
Publications in 2023
Graph Matching Optimization Network for Point Cloud RegistrationIn IROS (CORE A), 2023, Romulus, USAA Unified Inferring Framework of Multiplex Epidemic Networks under Multiple Interlayer Interaction ModesIn TNSE (Q1), 2023Cross-source Point Cloud Registration: Challenges, Progress and ProspectsIn Neurocomputing (Q1), 2023 -
Selected Publications Before 2023
Overlap-guided Coarse-to-fine Correspondence Prediction for Point Cloud RegistrationIn ICME (Oral), 2022