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Chen Yu              

PhD student in the Computer Vision and Robotic Perception Laboratory at NUS.

I'm currently a 1st year Ph.D student in the National University of Singapore and I'm advised by Prof. Gim Hee Lee. I worked at Segway Robotics during 2020.07-2021.12, where I designed algorithms to enhance the robustness of mapping algorithms for canteen robots and low-speed autonomous driving cars. Before that, I obtained my M.S. degree in Electronic Engineering and Computer Science School, Peking University, where I was advised by Prof. Yisong Chen and co-supervised by Prof. Shuhan Shen. I also spent 4 years in Beihang University, where I majored in software engineering. Now, I'm eager to tackle 3D computer vision problem by combining deep learning and geometric methods.


News  

01/2022: I joined the CVRP lab of SoC in the National University of Singapore as a phd student!
05/2021: Our paper on rotation averaging got accepted at CVPR 2021!
07/2020: I joined Segway Robotics to be a SLAM engineer!
07/2020: Our paper on large-scale SfM got accepted at Pattern Recognition 2020!
06/2020: I successfully defended my MS thesis on distributed large-scale Structure-from-Motion!
04/2019: I joined the rising self-driving startup TuSimple as a research intern on the group of High-Definition Localization and Mapping!
09/2018: I joined Megvii Beijing as a algorithm intern on the group of SLAM!
09/2018: Our paper on semantic SfM got accepted at PRCV 2018!


My Research  

AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion

Yu Chen, Zihao Yu, Shu Song, Tianning Yu, Jianming Li, Gim Hee Lee

     

Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

Yu Chen, Ji Zhao, Laurent Kneip

IEEE Conference on Computer Vision and Pattern Recognition 2021

     
@inproceedings{DBLP:conf/cvpr/Chen0K21,
                  author    = {Yu Chen and
                    Ji Zhao and
                    Laurent Kneip},
                    title     = {Hybrid Rotation Averaging: {A} Fast and Robust Rotation Averaging
                    Approach},
                    booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition},
                    pages     = {10358--10367},
                    year      = {2021},
              }

Graph-Based Parallel Large Scale Structure from Motion

Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang

Pattern Recognition 2020

     
@article{DBLP:journals/pr/ChenSCW20,
          author    = {Yu Chen and
                       Shuhan Shen and
                       Yisong Chen and
                       Guoping Wang},
          title     = {Graph-based parallel large scale structure from motion},
          journal   = {Pattern Recognition},
          volume    = {107},
          pages     = {107537},
          year      = {2020},
        }

Bundle Adjustment Revisited

Yu Chen, Yisong Chen, Guoping Wang

arXiv 2019

     
@article{DBLP:journals/corr/abs-1912-03858,
          author    = {Yu Chen and
                       Yisong Chen and
                       Guoping Wang},
          title     = {Bundle Adjustment Revisited},
          journal   = {CoRR},
          volume    = {abs/1912.03858},
          year      = {2019},
        }

Large-Scale Structure from Motion with Semantic Constraints of Aerial Images

Yu Chen, Yao Wang, Peng Lu, Yisong Chen, Guoping Wang

Pattern Recognition and Computer Vision 2018

       
@inproceedings{DBLP:conf/prcv/ChenWLCW18,
          author    = {Yu Chen and
                       Yao Wang and
                       Peng Lu and
                       Yisong Chen and
                       Guoping Wang},
          title     = {Large-Scale Structure from Motion with Semantic Constraints of Aerial
                       Images},
          booktitle = {Pattern Recognition and Computer Vision - First Chinese Conference},
          series    = {Lecture Notes in Computer Science},
          volume    = {11256},
          pages     = {347--359},
          publisher = {Springer},
          year      = {2018},
        }