(Milton)Chi Chong, Wong

Amiltonwong.github.io

Welcome to Milton's Pages.

Hi, I'm (Milton)Chi Chong Wong. I'm currently a PhD student in computer science major from University of Macau (UM). My research direction focus on 3D computer vision and its application in 3D shape analysis and intelligent transportation system. My current reseach projects are: i) 3D data (point cloud / mesh) processing and analysis ; ii) outdoor scene semantic understanding from 2D images and 3D point clouds ; iii) reliable vehicular pedestrian detection.

  • Email: amilton.wong@connect.um.edu.mo
  • Address: Block E11, Faculty of Science and Technology, University of Macau (UM), Avenida da Universidade, Taipa, Macau, China

    • Publications

    2021

  • C. C. Wong, C. M. Vong, Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation, Proceedings of the International Conference on Computer Vision (ICCV), 2021.[link];

    • 2020

  • Z. Xu, C. M. Vong, C. C. Wong, Q. Liu, Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection, IEEE Trans. Intelligent Transportation Systems, 2020, DOI: 10.1109/TITS.2020.2991848 [link] ;
  • C. C. Wong, C. M. Vong, Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts, Proceedings of the European Conference on Computer Vision (ECCV), 2020.[link];

    • 2019

  • C. C. Wong, Y. Gan, C. M. Vong, Efficient Outdoor Video Semantic Segmentation Using Feedback-Based Fully Convolution Neural Network, IEEE Trans. Industrial Informatics, 2020, 16(8): 5128-5136. [link] ;

    • Research Interests

  • 3D shape analysis using discrete differential geometry and topological data analysis, and deep learning methods
  • semantic segmentation methods
  • intelligent transportation system applications

    • Academic Presentations

  • 2021-10 Proceedings of the International Conference on Computer Vision (ICCV). Topic: Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation
  • 2021-04 iMSI Topological Data Analysis Workshop. Topic: PersFormer: A Transformer Model for Persistence Diagrams
  • 2020-08 Proceedings of the European Conference on Computer Vision (ECCV). Topic: Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts