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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. (Never ask me to send your CVs to Gim Hee or anything related to that since I do not know you at all !)

News  

28.Feb/2023: Our paper on neural radiance fields accepted by CVPR 2023!
17.Jan/2023: Our paper on large scale Structure-from-Motion accepted by ICRA 2023!
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!

Publications  

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DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields

Yu Chen, Gim Hee Lee

The IEEE Conference on Computer Vision and Pattern Recognition 2023

Paper Web Page   Code   Cite 
@InProceedings{Chen_2023_CVPR,
                  author    = {Chen, Yu and Lee, Gim Hee},
                  title     = {DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields},
                  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
                  month     = {June},
                  year      = {2023},
                  pages     = {24-34}
            }

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

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

The IEEE International Conference on Robotics and Automation (ICRA) 2023

Paper Web Page   Code   Cite

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Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

Yu Chen, Ji Zhao, Laurent Kneip

The IEEE Conference on Computer Vision and Pattern Recognition 2021

Paper Web Page   Code   Cite 
@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},
              }

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Graph-Based Parallel Large Scale Structure from Motion

Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang

Pattern Recognition 2020

Paper Web Page   Code   Cite 
@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},
          }

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Bundle Adjustment Revisited

Yu Chen, Yisong Chen, Guoping Wang

arXiv 2019

Paper Web Page   Code   Cite 
@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},
        }

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

Yu Chen*, Yao Wang*, Peng Lu, Yisong Chen, Guoping Wang (* denotes equal contribution)

Pattern Recognition and Computer Vision 2018

Paper Web Page   Code   Dataset   Cite 
@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},
        }

Research Resources

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"Writing a Good Research Paper"    Vincent Lepetit   


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"Tips for Giving Clear Talks"    Kayvon Fatahalian