Xiwen Yao

Orcid: 0000-0002-7466-7428

According to our database1, Xiwen Yao authored at least 58 papers between 2015 and 2024.

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

Timeline

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Bibliography

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

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

Towards Large-Scale Small Object Detection: Survey and Benchmarks.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

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

Semantic segmentation guided pseudo label mining and instance re-detection for weakly supervised object detection in remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023

Building a Bridge of Bounding Box Regression Between Oriented and Horizontal Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Mining High-Quality Pseudoinstance Soft Labels for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Robust Few-Shot Aerial Image Object Detection via Unbiased Proposals Filtration.
IEEE Trans. Geosci. Remote. Sens., 2023

Uncertainty Exploration: Toward Explainable SAR Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Physics Inspired Hybrid Attention for SAR Target Recognition.
CoRR, 2023

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Solo-to-Collaborative Dual-Attention Network for One-Shot Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

AIFS-DATASET for Few-Shot Aerial Image Scene Classification.
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

Prototype-CNN for Few-Shot Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Dual-Aligned Oriented Detector.
IEEE Trans. Geosci. Remote. Sens., 2022

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

SPNet: Siamese-Prototype Network for Few-Shot Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

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

Guiding Clean Features for Object Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Progressively Dual Prior Guided Few-shot Semantic Segmentation.
CoRR, 2022

Towards Large-Scale Small Object Detection: Survey and Benchmarks.
CoRR, 2022

Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Non-target Knowledge for Few-shot Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification.
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

Two-Stream Encoder GAN With Progressive Training for Co-Saliency Detection.
IEEE Signal Process. Lett., 2021

Weighted bilateral <i>K</i>-means algorithm for fast co-clustering and fast spectral clustering.
Pattern Recognit., 2021

Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2021

Physically Explainable CNN for SAR Image Classification.
CoRR, 2021

Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals.
Comput. Methods Programs Biomed., 2021

Psychophysiological data-driven multi-feature information fusion and recognition of miner fatigue in high-altitude and cold areas.
Comput. Biol. Medicine, 2021

Oriented R-CNN for Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion.
Remote. Sens., 2020

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning.
CoRR, 2020

Linear and nonlinear analyses of normal and fatigue heart rate variability signals for miners in high-altitude and cold areas.
Comput. Methods Programs Biomed., 2020

2019
Scene Classification of High Resolution Remote Sensing Images Via Self-Paced Deep Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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

Learning Region Response Ranking Features for Remote Sensing Image Scene Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Performance Comparison of Two Pooling Strategies for Remote Sensing Image Scene Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs.
IEEE Trans. Geosci. Remote. Sens., 2018

Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

Discriminative Joint-Feature Topic Model With Dual Constraints for WCE Classification.
IEEE Trans. Cybern., 2018

2017
Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering.
IEEE Trans. Image Process., 2017

Remote Sensing Image Scene Classification Using Bag of Convolutional Features.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2016

Semantic annotation of satellite images via joint multi-feature learning with diversity constraint.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Scene classification of high resolution remote sensing images using convolutional neural networks.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF.
Neurocomputing, 2015

Semantic Segmentation based on Stacked Discriminative Autoencoders and Context-Constrained Weakly Supervised Learning.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015


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