Feng Xue 薛峰

MHUG, University of Trento (UniTrento), PostDoc.
VRobotit Lab, Beijing University of Posts and Telecommunications (BUPT), Ph.D.

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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

08.2024 Our work SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model has been accepted by ACMMM 2024 !
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 !

selected publications

2023

  1. 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
  2. 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

2022

  1. 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

2021

  1. BSNet.gif
    Boundary-induced and scene-aggregated network for monocular depth prediction
    Feng Xue, Junfeng Cao, Yu Zhou, and 3 more authors
    Pattern Recognition (PR), 2021

2020

  1. TOD.png
    Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression
    Feng XueAnlong Ming, and Yu Zhou
    IEEE Transactions on Image Processing (TIP), 2020

2019

  1. A Novel Multi-layer Framework for Tiny Obstacle Discovery
    Feng XueAnlong Ming, Menghan Zhou, and 1 more author
    In IEEE International Conference on Robotics and Automation (ICRA), 2019