First Author Publications

I publish papers in both robotics and computer vision.

Full Publication List, Google Scholar, CMU Scholar, DBLP, arXiv, and Air Series Articles.

[1]

Non-iterative SLAM.

Chen Wang, Junsong Yuan, Lihua Xie.

International Conference on Advanced Robotics (ICAR), pp. 83–90, 2017.

Best Paper Award in Robotic Planning

@inproceedings{wang2017non,
  title = {Non-iterative SLAM},
  author = {Wang, Chen and Yuan, Junsong and Xie, Lihua},
  booktitle = {International Conference on Advanced Robotics (ICAR)},
  pages = {83--90},
  year = {2017},
  organization = {IEEE},
  url = {https://arxiv.org/pdf/1701.05294},
  video = {https://youtu.be/Ed_6wYIKRfs},
  addendum = {Best Paper Award in Robotic Planning},
  keywords = {first}
}

[2]

Non-iterative RGB-D-inertial Odometry.

Chen Wang, Minh-Chung Hoang, Lihua Xie, Junsong Yuan.

arXiv preprint arXiv:1710.05502, 2017.

@article{wang2017noniterative,
  title = {Non-iterative RGB-D-inertial Odometry},
  author = {Wang, Chen and Hoang, Minh-Chung and Xie, Lihua and Yuan, Junsong},
  journal = {arXiv preprint arXiv:1710.05502},
  url = {https://arxiv.org/pdf/1710.05502},
  video = {https://youtu.be/zqOkHardugI},
  year = {2017},
  keywords = {first}
}

[3]

Ultra-Wideband Aided Fast Localization and Mapping System.

Chen Wang, Handuo Zhang, Thien-Minh Nguyen, Lihua Xie.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1602–1609, 2017.

@inproceedings{wang2017ultra,
  title = {Ultra-Wideband Aided Fast Localization and Mapping System},
  author = {Wang, Chen and Zhang, Handuo and Nguyen, Thien-Minh and Xie, Lihua},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2017},
  pages = {1602--1609},
  url = {https://arxiv.org/pdf/1710.00156},
  code = {https://github.com/wang-chen/localization},
  organization = {IEEE},
  keywords = {first}
}

[4]

Kernel Cross-Correlator.

Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan.

Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp. 4179–4186, 2018.

@inproceedings{wang2018kernel,
  title = {Kernel Cross-Correlator},
  author = {Wang, Chen and Zhang, Le and Xie, Lihua and Yuan, Junsong},
  booktitle = {Thirty-Second AAAI Conference on Artificial Intelligence (AAAI)},
  pages = {4179--4186},
  year = {2018},
  url = {https://arxiv.org/pdf/1709.05936},
  code = {https://github.com/wang-chen/KCC},
  keywords = {first}
}

[5]

Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators.

Chen Wang, Tete Ji, Thien-Minh Nguyen, Lihua Xie.

2018 International Conference on Robotics and Automation (ICRA), pp. 836–841, 2018.

@inproceedings{wang2018correlation,
  title = {Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators},
  author = {Wang, Chen and Ji, Tete and Nguyen, Thien-Minh and Xie, Lihua},
  booktitle = {2018 International Conference on Robotics and Automation (ICRA)},
  pages = {836--841},
  year = {2018},
  url = {https://arxiv.org/pdf/1802.07078},
  code = {https://github.com/wang-chen/correlation_flow},
  keywords = {first}
}

[6]

Kervolutional Neural Networks.

Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan.

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 31–40, 2019.

Selected as Oral Paper (5.6%)

@inproceedings{wang2019kervolutional,
  title = {Kervolutional Neural Networks},
  author = {Wang, Chen and Yang, Jianfei and Xie, Lihua and Yuan, Junsong},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {31--40},
  year = {2019},
  url = {https://arxiv.org/pdf/1904.03955},
  code = {https://github.com/wang-chen/kervolution},
  addendum = {Selected as Oral Paper (5.6%)},
  keywords = {first}
}

[7]

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning.

Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer.

European Conference on Computer Vision (ECCV), pp. 52–68, 2020.

Selected as Oral Paper (2%)

@inproceedings{wang2020visual,
  title = {Visual Memorability for Robotic Interestingness via Unsupervised Online Learning},
  author = {Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Scherer, Sebastian},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2020},
  pages = {52--68},
  url = {https://arxiv.org/pdf/2005.08829},
  code = {https://github.com/wang-chen/interestingness/tree/eccv},
  video = {https://youtu.be/PXIcm17fEko},
  addendum = {Selected as Oral Paper (2\%)},
  keywords = {first}
}

[8]

Unsupervised Online Learning for Robotic Interestingness with Visual Memory.

Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Seungchan Kim, Sebastian Scherer.

IEEE Transactions on Robotics (TRO), 2021.

@article{wang2021unsupervised,
  title = {Unsupervised Online Learning for Robotic Interestingness with Visual Memory},
  author = {Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Kim, Seungchan and Scherer, Sebastian},
  journal = {IEEE Transactions on Robotics (TRO)},
  url = {https://arxiv.org/pdf/2111.09793},
  code = {https://github.com/wang-chen/interestingness},
  year = {2021},
  keywords = {first}
}

[9]

Lifelong graph learning.

Chen Wang, Yuheng Qiu, Dasong Gao, Sebastian Scherer.

arXiv preprint arXiv: 2009.00647, 2021.

@article{wang2020lifelong,
  title = {Lifelong graph learning},
  author = {Wang, Chen and Qiu, Yuheng and Gao, Dasong and Scherer, Sebastian},
  journal = {arXiv preprint arXiv: 2009.00647},
  year = {2021},
  url = {https://arxiv.org/pdf/2009.00647},
  code = {https://github.com/wang-chen/LGL},
  keywords = {first}
}