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.
ChenWang, 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.
ChenWang, 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.
ChenWang, Jianfei Yang, Lihua Xie, Junsong Yuan.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 31–40, 2019.
Selected as Oral Presentation (5.6%)
@inproceedings{wang2019kervolutional,
title = {Kervolutional Neural Networks},
author = {Wang, Chen and Yang, Jianfei and Xie, Lihua and Yuan, Junsong},
booktitle = {IEEE/CVF 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 Presentation (5.6%)},
keywords = {first}
}
[7]
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning.
ChenWang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer.
European Conference on Computer Vision (ECCV), pp. 52–68, 2020.
Selected as Oral Presentation (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 Presentation (2\%)},
keywords = {first}
}
[8]
Unsupervised Online Learning for Robotic Interestingness with Visual Memory.
ChenWang, 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.
ChenWang, Yuheng Qiu, Dasong Gao, Sebastian Scherer.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Selected as Oral Presentation (4.2%)
@inproceedings{wang2020lifelong,
title = {Lifelong Graph Learning},
author = {Wang, Chen and Qiu, Yuheng and Gao, Dasong and Scherer, Sebastian},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
url = {https://arxiv.org/pdf/2009.00647},
code = {https://github.com/wang-chen/LGL},
video = {https://youtu.be/tmAMuoi8Cs4},
addendum = {Selected as Oral Presentation (4.2%)},
keywords = {first}
}