Scholar
Tuo Feng
Google Scholar ID: UZm4ZRsAAAAJ
University of Technology Sydney, PHD candidate
Citations & Impact
Citations
1,308
H-index
10
i10-index
10
Publications
14
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- A Survey of World Models for Autonomous Driving, arXiv preprint, 2025
- Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data, Book chapter, 2025
- LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels, CVPR 2024 Conference paper, 2024
- Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds, AAAI 2024 Conference paper, 2024
- Clustering based point cloud representation learning for 3d analysis, ICCV 2023 Conference paper, 2023
- Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest—Part B, IEEE JSTARS Journal article, 2021
- A Novel Object Re-Track Framework for 3D Point Clouds, ACM Multimedia 2020 Conference paper, 2020
- A Dense Pointnet++ Architecture for 3D Point Cloud Semantic Segmentation, IGARSS 2019 Conference paper, 2019
- Spatial Attention for Multi-Scale Feature Refinement for Object Detection, ICCVW 2019 Conference paper, 2019
Research Experience
- Involved in multiple research projects related to 3D perception and autonomous driving, and served as an outstanding reviewer at CVPR 2025.
Education
- Obtained a degree from the University of Technology Sydney, NSW, specific time and advisor information not provided.
Background
- Research interests: Computer Vision, Autonomous Driving. Professional field: 3D point cloud processing, scene representation learning.
