Feng Xue 薛峰

via Sommarive, 9, 38123 Povo, Trento, Italy

Feng Xue is a postdoctoral researcher working with Prof. Nicu Sebe at the Multimedia and Human Understanding Group (MHUG), University of Trento, Italy. Previously, he earned his Ph.D. degree in computer science and technology (2023) from the Beijing University of Posts and Telecommunications (BUPT), and his MA.Eng. degree in computer technology (2019) from BUPT, China. His Ph.D. thesis advisor is Prof. Anlong Ming, and he also works closely with Prof. Yu Zhou. His research interests lie in Open-World Visual Perception for Robots and Open-Domain Generalization.

news

01.2024	Our work MuSc : Zero-Shot Anomaly Classification and Segmentation by Mutual Scoring of the Unlabeled Images has been accepted by ICLR 2024 !
01.2024	Two works have been accepted by T-ITS 2024 !
10.2023	Our work Indoor Obstacle Discovery on Reflective Ground via Monocular Camera has been accepted by IJCV 2023 !
03.2023	Our work Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects has been accepted by CVPR 2023 !
04.2022	Our work MARF: Multi-scale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners has been accepted by IEEE T-CYB 2023 !

selected publications

2023

IJCV

Indoor Obstacle Discovery on Reflective Ground via Monocular Camera

Feng Xue, Yicong Chang, Tianxi Wang, and 2 more authors

International Journal of Computer Vision (IJCV), 2023

arXiv Bib HTML Code Website

@article{ijcv_org,
  title = {Indoor Obstacle Discovery on Reflective Ground via Monocular Camera},
  author = {Xue, Feng and Chang, Yicong and Wang, Tianxi and Zhou, Yu and Ming, Anlong},
  journal = {International Journal of Computer Vision (IJCV)},
  year = {2023},
  volume = {},
  number = {},
  pages = {1573-1405},
  xdoi = {},
}

CVPR

Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects

Wenteng Liang✝, Feng Xue✝, Yihao Liu, and 2 more authors

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Bib PDF Supp Code Slides Website

@inproceedings{unsniffer,
  author = {Liang✝, Wenteng and Xue✝, Feng and Liu, Yihao and Zhong, Guofeng and Ming, Anlong},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  title = {Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects},
  year = {2023},
}

2022

ICRA

Monocular Depth Distribution Alignment with Low Computation

Fei Sheng✝, Feng Xue✝, Yicong Chang, and 2 more authors

In IEEE International Conference on Robotics and Automation (ICRA), 2022

arXiv Bib HTML Code

@inproceedings{DANet2021,
  author = {Sheng✝, Fei and Xue✝, Feng and Chang, Yicong and Liang, Wenteng and Ming, Anlong},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  title = {Monocular Depth Distribution Alignment with Low Computation},
  year = {2022},
  xdoi = {10.1109/ICRA46639.2022.9811937},
}

2021

Boundary-induced and scene-aggregated network for monocular depth prediction

Feng Xue, Junfeng Cao, Yu Zhou, and 3 more authors

Pattern Recognition (PR), 2021

arXiv Bib HTML Code Slides

@article{depthpr2021,
  title = {Boundary-induced and scene-aggregated network for monocular depth prediction},
  journal = {Pattern Recognition (PR)},
  volume = {115},
  pages = {107901},
  year = {2021},
  author = {Xue, Feng and Cao, Junfeng and Zhou, Yu and Sheng, Fei and Wang, Yankai and Ming, Anlong},
  xdoi = {10.1016/j.patcog.2021.107901},
}

2020

TIP

Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression

Feng Xue, Anlong Ming, and Yu Zhou

IEEE Transactions on Image Processing (TIP), 2020

arXiv Bib Code

@article{tip,
  title = {Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression},
  author = {Xue, Feng and Ming, Anlong and Zhou, Yu},
  journal = {IEEE Transactions on Image Processing (TIP)},
  year = {2020},
  volume = {29},
  number = {},
  pages = {9373-9386},
  xdoi = {10.1109/TIP.2020.3026636},
}

2019

ICRA

A Novel Multi-layer Framework for Tiny Obstacle Discovery

Feng Xue, Anlong Ming, Menghan Zhou, and 1 more author

In IEEE International Conference on Robotics and Automation (ICRA), 2019

arXiv Bib HTML Code Slides

@inproceedings{ICRA,
  author = {Xue, Feng and Ming, Anlong and Zhou, Menghan and Zhou, Yu},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  title = {A Novel Multi-layer Framework for Tiny Obstacle Discovery},
  year = {2019},
  xdoi = {10.1109/ICRA.2019.8794279},
}