Portrait of Guofeng Mei

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.

FBK - DI Center - TeV, Via Sommarive, 18, 38123 Trento, Italy

"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:

  • 3D vision-language models
  • Multimodal learning
  • 3D visual grounding
  • Point cloud registration
  • Graph matching
  • Image and video restoration
  • 3D instance segmentation
  • Embodied AI
  • Efficient learning
  • Optimization and optimal transport

News

2026-04 New 2026 publications were added from Google Scholar, including CVPR 2026 and CVPRW/NTIRE 2026 papers.
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))

  1. Publications in 2026
    Efficient Encoder-Free Fourier-based 3D Large Multimodal Model
    Guofeng Mei, Wei Lin, Luigi Riz, Yujiao Wu, Fabio Poiesi, Yiming Wang
    In CVPR (CORE A*, CCF A), 2026
    Universal 3D Shape Matching via Coarse-to-Fine Language Guidance
    Qinfeng Xiao, Guofeng Mei, Bo Yang, Liying Zhang, Jian Zhang, Kit-lun Yick
    In CVPR (CORE A*, CCF A), 2026
    A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation
    Wentao Qu, Guofeng Mei, Yang Wu, Yongshun Gong, Xiaoshui Huang, Liang Xiao
    In CVPR (CORE A*, CCF A), 2026
    GLASS: Graph and Vision-Language Assisted Semantic Shape Correspondence
    Qinfeng Xiao, Guofeng Mei, Qilong Liu, Chenyuan Yi, Fabio Poiesi, Jian Zhang, Bo Yang, Kit-lun Yick
    In CVPR (CORE A*), 2026
    Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
    Wentao Qu, Guofeng Mei, Jing Wang, Yujiao Wu, Xiaoshui Huang, Liang Xiao
    In AAAI (CCF A), 2026, Singapore
    Obstruction Reasoning for Robotic Grasping
    Runyu Jiao, Matteo Bortolon, Francesco Giuliari, Alice Fasoli, Sergio Povoli, Guofeng Mei, Yiming Wang, Fabio Poiesi
    In CVPR (CORE A*, CCF A), 2026
    Action-guided Generation of 3D Functionality Segmentation Data
    Jaime Corsetti, Francesco Giuliari, Davide Boscaini, Pedro Hermosilla, Andrea Pilzer, Guofeng Mei, Alexandros Delitzas, Francis Engelmann, Fabio Poiesi
    In CVPR Workshops, 2026
    Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
    Bin Ren, Xiaoshui Huang, Mengyuan Liu, Hong Liu, Fabio Poiesi, Nicu Sebe, Guofeng Mei*
    In AAAI (CCF A), 2026, Singapore
    The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report
    Bin Ren, Hang Guo, Yan Shu, Jiaqi Ma, Ziteng Cui, Shuhong Liu, Guofeng Mei, Lei Sun, Zongwei Wu, Fahad Shahbaz Khan, et al.
    In CVPR NTIRE Workshop, 2026
  2. Publications in 2025
    PerLA: Perceptive 3D Language Assistant
    Guofeng Mei, Wei Lin, Luigi Riz, Yujiao Wu, Fabio Poiesi, Yiming Wang
    In CVPR (CORE A*, CCF A), 2025, Nashville, USA
    3DV
    Vocabulary-Free 3D Instance Segmentation with Vision and Language Assistant
    Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi
    In International Conference on 3D Vision (3DV), 2025
    TVEG: Model Selection of the Time-Varying Exponential Family Distributions Graphical Models
    Juan Liu, Guofeng Mei, Yuanqing Xia, Xiaoqun Wu, Jinhu Lü
    In IEEE Transactions on Network Science and Engineering, 2025
    3DV
    Fully-Geometric Cross-Attention for Point Cloud Registration
    Weijie Wang, Guofeng Mei, Jian Zhang, Nicu Sebe, Bruno Lepri, Fabio Poiesi
    In International Conference on 3D Vision (3DV), 2025
    Free-form Language-based Robotic Reasoning and Grasping
    Runyu Jiao, Alice Fasoli, Francesco Giuliari, Matteo Bortolon, Sergio Povoli, Guofeng Mei, Yiming Wang, Fabio Poiesi
    In IROS (CORE A), 2025, Hangzhou, China
    PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling
    Abiao Li, Chenlei Lv, Yuming Fang, Yifan Zuo, Jian Zhang, Guofeng Mei
    In ICCV (CORE A*, CCF A), 2025, Hawaii, USA
  3. Publications in 2024
    Multimodal Fusion SLAM with Fourier Attention
    Youjie Zhou, Guofeng Mei, Yiming Wang, Fabio Poiesi, Yi Wan
    In RA-L (Q1), 2024
    Bringing masked autoencoders explicit contrastive properties for point cloud self-supervised learning
    Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe
    In Asian Conference on Computer Vision (ACCV), 2024
    GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
    Abiao Li, Chenlei Lv, Guofeng Mei, Yifan Zuo, Jian Zhang, Yuming Fang
    In International Conference on Pattern Recognition (ICPR), 2024
    The consistent transmission laws under the consistent intervention policy
    Juan Liu, Guofeng Mei, Yuanqing Xia
    In IEEE Transactions on Computational Social Systems, 2024
    Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding
    Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi
    In CVPR (CORE A*), 2024, Seattle WA, USA
    Point Cloud Pre-training with Diffusion Models
    Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong
    In CVPR (CORE A*), 2024, Seattle WA, USA
    Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering
    Guofeng Mei, Cristiano Saltori, Elisa Ricci, Nicu Sebe, Qiang Wu, Jian Zhang, Fabio Poiesi
    In IJCV (CORE A*), 2024
  4. Publications in 2023
    Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
    Guofeng Mei, Hao Tang, X. Huang, W. Wang, J. Liu, J. Zhang, Luc Van Gool, Q. Wu
    In CVPR (CORE A*), 2023, Vancouver, Canada
    Overlap-guided Gaussian Mixture Models for Point Cloud Registration
    Guofeng Mei, Fabio Poiesi, Cristiano Saltori, Jian Zhang, Elisa Ricci, Nicu Sebe
    In WACV (CORE A), 2023, Hawaii, USA
    Graph Matching Optimization Network for Point Cloud Registration
    Qianliang Wu, Yaqi Shen, Haobo Jiang, Guofeng Mei, Y. Ding, L. Luo, J. Xie, J. Yang
    In IROS (CORE A), 2023, Romulus, USA
    Attentive Multimodal Fusion for Optical and Scene Flow
    Youjie Zhou, Guofeng Mei, Yiming Wang, Fabio Poiesi, Yi Wan
    In RA-L (Q1), 2023
    A Unified Inferring Framework of Multiplex Epidemic Networks under Multiple Interlayer Interaction Modes
    Juan Liu, Guofeng Mei, Xiaoqun Wu, Yuanqing Xia
    In TNSE (Q1), 2023
    Cross-source Point Cloud Registration: Challenges, Progress and Prospects
    Xiaoshui Huang, Guofeng Mei, Jian Zhang
    In Neurocomputing (Q1), 2023
  5. Selected Publications Before 2023
    Overlap-guided Coarse-to-fine Correspondence Prediction for Point Cloud Registration
    Guofeng Mei, Xiaoshui Huang, Jian Zhang, Qiang Wu
    In ICME (Oral), 2022
    Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
    Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Elisa Ricci, Nicu Sebe, Qiang Wu, Jian Zhang
    In BMVC (Oral), 2022
    Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences
    Xiaoshui Huang, Guofeng Mei, Jian Zhang
    In CVPR (CORE A*), 2020, Vancouver, Canada
    Compressive-sensing-based Structure Identification for Multilayer Network
    Guofeng Mei, Xiaoqun Wu, Yingfei Wang, Mi Hu, Jun-An Lu, Guanrong Chen
    In TCYB (Q1), 2017