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

07.2026 Two papers, Detector-Empowered Video Large Language Model for Spatio-Temporal Grounding and Reasoning and DepthART: Scaling Foundation Monocular Depth to Tiny Models, have been accepted by ACMMM 2026!
04.2026 Our work MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples has been accepted by IEEE TPAMI 2026!
04.2026 Our work Direction-Aware Deep Policy Learning for Efficient Capacitated Arc Routing has been accepted by Engineering Applications of Artificial Intelligence 2026!
11.2025 Our work AnoRefiner: Anomaly-Aware Group-Wise Refinement for Zero-Shot Industrial Anomaly Detection is now available on arXiv!
07.2025 2 papers has been accepted by ICCV 2025.

selected publications

2026

  1. ACMMM
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    DepthART: Scaling Foundation Monocular Depth to Tiny Models
    Feng Xue, Wu Chen, Mingshuai Zhao, and 7 more authors
    In ACM Multimedia Conference, 2026

2025

  1. INFFUS
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    Cues3D: Unleashing the power of sole NeRF for consistent and unique instances in open-vocabulary 3D panoptic segmentation
    Feng Xue, Wenzhuang Xu, Guofeng Zhong, and 2 more authors
    In Information Fusion, 2025
  2. TITS
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    Evidence-based Real-time Road Segmentation with RGB-D Data Augmentation
    Feng Xue✝, Yicong Chang✝, Wenzhuang Xu, and 3 more authors
    Transactions on Intelligent Transportation Systems (T-ITS) Journal Version of USNet, 2025

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

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    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