Profile Picture

陈林蔚

Linwei Chen

I received a B.S. degree in Mechanical Engineering and Automation from China University of Geosciences, Beijing, China, in 2019, and an M.S. degree in Software Engineering from Beijing Institute of Technology, Beijing, China, in 2021. I am currently pursuing an Eng.D. at MIIT Key Laboratory of Complex-field Intelligent Sensing, within the School of Information and Electronics at Beijing Institute of Technology. My research interests include image segmentation, object detection, and remote sensing.

Recent News

[2025.03] One paper is accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025.

[2024.08] One paper is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024.

[2024.02] One paper is accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024.

[2023.12] One paper is accepted by International Conference on Learning Representations (ICLR) 2024.

[2023.09] One paper is accepted by ISPRS Journal of Photogrammetry and Remote Sensing.

[2023.05] One paper is accepted by International Journal of Computer Vision (IJCV).

Selected Publications

Publication Image
Frequency Dynamic Convolution for Dense Image Prediction
Linwei Chen, Lin Gu, Liang Li, Chenggang Yan, Ying Fu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Publication Image
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Publication Image
Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Linwei Chen, Lin Gu, Ying Fu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Publication Image
When Semantic Segmentation Meets Frequency Aliasing
Linwei Chen, Lin Gu, Ying Fu
International Conference on Learning Representations (ICLR), 2024
Publication Image
A Large-scale Climate-aware Satellite Image Dataset for Domain Adaptive Land-Cover Semantic Segmentation
Songlin Liu*, Linwei Chen*, Li Zhang, Jun Hu, Ying Fu
ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Publication Image
Instance Segmentation in the Dark
Linwei Chen, Ying Fu, Kaixuan Wei, Dezhi Zheng, Felix Heide
International Journal of Computer Vision (IJCV), 2023

Publications

2025

  • Frequency Dynamic Convolution for Dense Image Prediction
    Linwei Chen, Lin Gu, Liang Li, Chenggang Yan, Ying Fu*. CVPR

2024

  • Frequency-aware Feature Fusion for Dense Image Prediction
    Linwei Chen, Ying Fu*, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang. TPAMI
  • Frequency-Adaptive Dilated Convolution for Semantic Segmentation
    Linwei Chen, Lin Gu, Ying Fu. CVPR
  • When Semantic Segmentation Meets Frequency Aliasing
    Linwei Chen, Lin Gu, Ying Fu. ICLR

2023

  • Instance Segmentation in the Dark
    Linwei Chen, Ying Fu, Kaixuan Wei, Dezhi Zheng, Felix Heide. IJCV
  • A Large-scale Climate-aware Satellite Image Dataset for Domain Adaptive Land-Cover Semantic Segmentation
    Songlin Liu*, Linwei Chen*, Li Zhang, Jun Hu, Ying Fu. ISPRS Journal of Photogrammetry and Remote Sensing

2022

  • LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss
    Ying Fu, Yang Hong, Linwei Chen, Shaodi You. Knowledge-Based Systems
  • Hybrid supervised instance segmentation by learning label noise suppression
    Linwei Chen, Ying Fu*, Shaodi You, Hongzhe Liu. Neurocomputing
  • Consistency-Aware Map Generation at Multiple Zoom Levels Using Aerial Image
    Linwei Chen, Ying Fu*, Zheng Fang. IEEE J-Stars
  • Level-Aware Consistent Multi-level Map Translation From Satellite Imagery
    Ying Fu*, Zheng Fang, Linwei Chen, Tao Song, Defu Lin. IEEE TGRS

2021

  • Crafting Object Detection in Very Low Light
    Yang Hong, Kaixuan Wei, Linwei Chen, Ying Fu*. BMVC
  • Efficient Hybrid Supervision for Instance Segmentation in Aerial Images
    Linwei Chen, Ying Fu, Shaodi You, Hongzhe Liu. Remote Sensing

Contact Information

Email:
chenlinwei@bit.edu.cn
charleschen2013@163.com

Zhihu
Uno Whoiam

Address:
No.5, Zhongguancun South Street, Haidian District, Beijing 100081, China