蔡志鹏(Zhipeng Cai)
Postdoc at Intel Intelligent Systems Lab, Santa Clara, California, USA (Currently working remotely in Fuzhou, China).
Research Interests: Computer Vision and Machine Learning, especially in 1) robust fitting, 2) point cloud registration, 3) optimization.
Previous Education: I got my Ph.D in Computer Science at The University of Adelaide, Australia, supervised by Prof. Tat-Jun Chin & Prof. David Suter.
Email: czptc2h@gmail.com

News

Publication (Google Scholar Citations):

The arXiv link (if available) of each paper contains modifications after publication. Feel free to contact me if you have any comment : )

2020

Consensus Maximization: Theoretical Analysis and New Algorithms
Zhipeng Cai
Ph.D thesis (Supervised by: Prof. Tat-Jun Chin and Prof. David Suter)
[PDF]
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World
Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu, Yun-Hui Liu
European Conference on Computer Vision (ECCV) 2020
[Paper]

2019

Robust fitting in computer vision: easy or hard?
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
International Journal on Computer Vision (IJCV), Special Issue on Best of ECCV 2018.
[Paper]
Consensus Maximization Tree Search Revisited
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
International Conference on Computer Vision (ICCV) 2019, oral presentation.
[Arxiv preprint] [Code]
Practical Optimal Registration of Terrestrial LiDAR Scan Pairs
Zhipeng Cai, Tat-Jun Chin, Alvaro Parra Bustos, Konrad Schindler
ISPRS Journal of Photogrammetry and Remote Sensing, 2019.
[Arxiv preprint] [PDF] [Code]

2018

Deterministic consensus maximization with biconvex programming
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
European Conference on Computer Vision (ECCV) 2018, oral presentation.
[Arxiv preprint] [Code] [Slides]
Robust fitting in computer vision: easy or hard?
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
European Conference on Computer Vision (ECCV) 2018, oral presentation.
Selected as one of the 12 best papers from the conference
[Arxiv preprint] [Slides]

2016

Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data
Chenglu Wen, Jonathan Li, Huan Luo, Yongtao Yu, Zhipeng Cai, Hanyun Wang, Cheng Wang
IEEE Transactions on Intelligent Transportation Systems, 2016
[PDF]
Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds
Huan Luo, Cheng Wang, Chenglu Wen, Zhipeng Cai, Ziyi Chen, Hanyun Wang, Yongtao Yu, Jonathan Li
IEEE Transactions on Intelligent Transportation Systems, 2016
[PDF]

2015

Occluded Boundary Detection for Small-footprint Ground-borne LIDAR Point Cloud Guided by Last-echo
Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li
IEEE Geoscience and Remote Sensing Letters, 2015
[PDF]
3D-PatchMach: an Optimization Algorithm for Point Cloud Completion
Zhipeng Cai, Cheng Wang, Chenglu Wen, Jonathan Li
Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM2015)
[PDF]

2012

Automatic road extraction from mobile laser scanning data
Hanyun Wang, Zhipeng Cai, Huan Luo, Cheng Wang, Peng Li, Wentao Yang, Suoping Ren, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Scale invariant kernel-based object tracking
Peng Li, Zhipeng Cai, Hanyun Wang, Zhuo Sun, Yunhui Yi, Cheng Wang, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]
Cascade framework for object extraction in image sequences
Peng Li, Zhipeng Cai, Cheng Wang, Zhuo Sun, Hanyun Wang, Jonathan Li
International Conference on Computer Vision in Remote Sensing (CVRS), 2012
[PDF]

Patent:

    1. Interactive three-dimensional point cloud color editing method. Publication number: CN 103489224 A

    2. Three-dimensional point cloud auto-completion method. Publication number: CN 104063898 A

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Working experience

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Last Updated on 22th Nov, 2016

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