Xiaoxu Feng

Orcid: 0000-0003-2639-2447

According to our database1, Xiaoxu Feng authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Attention Erasing and Instance Sampling for Weakly Supervised Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

DIMA: Digging Into Multigranular Archetype for Fine-Grained Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement.
CoRR, 2024

2023
Learning to Assess Image Quality Like an Observer.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

2022
DFENet for Domain Adaptation-Based Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

R²IPoints: Pursuing Rotation-Insensitive Point Representation for Aerial Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Scale-Aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2022

SAENet: Self-Supervised Adversarial and Equivariant Network for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Guided Proposal Generation for Weakly Supervised Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A spatial feature adaptive network for text detection.
Multim. Tools Appl., 2022

Weakly Supervised Rotation-Invariant Aerial Object Detection Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning.
IEEE Trans. Geosci. Remote. Sens., 2021

TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

2020
Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2020

2019
Rotation-Invariant Latent Semantic Representation Learning for Object Detection in VHR Optical Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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