Guofeng Mei

Guofeng (Ryan) Mei

Researcher of Technologies of Vision (TeV), Fondazione Bruno Kessler (FBK)

Address: FBK - DI Center - TeV, Via Sommarive, 18, 38123 Trento, Italy
Email: gfmeiwhu@gmail.com

Never underestimate your power to change yourself!

Guofeng Mei currently serves as a researcher at Technologies of Vision (TeV), Fondazione Bruno Kessler, Italy, under the mentorship of 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 (e.g., nerf, registration, segmentation, classification)
  • Low-level vision (e.g., image/video restoration, super-resolution, denoising, deblurring, HDR deghosting)
  • Multi-modalities (e.g., language-vision models)
  • Depth estimation
  • Semantic segmentation
  • Object detection
  • Efficient network design (e.g., pruning, knowledge distillation, quantization, unsupervised learning)
  • Complex network

News

2024-02 We have 2 papers accepted to CVPR 2024.
2024-02 We have 1 paper accepted to IJCV 2024.
2024-01 We have 1 paper accepted to ICRA 2024.
2023-03 We have 1 paper accepted to CVPR 2023.
2022-10 We have 1 paper accepted to BMVC 2022 (Oral).
2022-02 We have 1 paper accepted to ICME 2022 (Oral).

Featured Publications

    Publications in 2024
  1. CVPR (Highlight)
    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
    PDF Code
    CVPR
    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
    PDF Code (coming soon)
    IJCV
    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
    PDF Code
    2. Publications in 2023
  2. CVPR
    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
    PDF Code (coming soon)
    WACV
    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
    PDF Code
    IROS
    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
    PDF
    RA-L
    Attentive Multimodal Fusion for Optical and Scene Flow
    Youjie Zhou, Guofeng Mei, Yiming Wang, Fabio Poiesi, Yi Wan
    In RA-L (Q1), 2023
    PDF Code
    TNSE
    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
    PDF
    Neurocomputing
    Cross-source Point Cloud Registration: Challenges, Progress and Prospects
    Xiaoshui Huang, Guofeng Mei, Jian Zhang
    In Neurocomputing (Q1), 2023
    PDF
    3. Selected Publications Before 2023
  3. ICME
    Overlap-guided Coarse-to-fine Correspondence Prediction for Point Cloud Registration
    Guofeng Mei, Xiaoshui Huang, Jian Zhang, Qiang Wu
    In ICME (CORE A), 2022
    PDF
    BMVC
    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 (CORE A), 2022
    PDF Code
    CVPR
    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
    PDF Code
    TCYB
    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
    PDF