Xue Yang

Orcid: 0000-0002-7084-9101

Affiliations:
  • Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
  • Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing, China (former)
  • University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, China (former)


According to our database1, Xue Yang authored at least 42 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes.
CoRR, 2024

2023
Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection.
Remote. Sens., February, 2023

PVT-SAR: An Arbitrarily Oriented SAR Ship Detector With Pyramid Vision Transformer.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision.
CoRR, 2023

PointOBB: Learning Oriented Object Detection via Single Point Supervision.
CoRR, 2023

H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning.
CoRR, 2023

ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer.
CoRR, 2023

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PatchDCT: Patch Refinement for High Quality Instance Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The KFIoU Loss for Rotated Object Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss.
IEEE Geosci. Remote. Sens. Lett., 2022

Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited.
Int. J. Comput. Vis., 2022

On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited.
Int. J. Comput. Vis., 2022

MMRotate: A Rotated Object Detection Benchmark using PyTorch.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dual-path Image Inpainting with Auxiliary GAN Inversion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Sparse Label Assignment for Oriented Object Detection in Aerial Images.
Remote. Sens., 2021

AlphaRotate: A Rotation Detection Benchmark using TensorFlow.
CoRR, 2021

Optimization for Oriented Object Detection via Representation Invariance Loss.
CoRR, 2021

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss.
Proceedings of the 38th International Conference on Machine Learning, 2021

Parallel Multi-Resolution Fusion Network for Image Inpainting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Modulated Loss for Rotated Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Arbitrary-Oriented Object Detection with Circular Smooth Label.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning Modulated Loss for Rotated Object Detection.
CoRR, 2019

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.
CoRR, 2019

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking Classification and Localization for Cascade R-CNN.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks.
Remote. Sens., 2018

A Ship Rotation Detection Model in Remote Sensing Images Based on Feature Fusion Pyramid Network and Deep Reinforcement Learning.
Remote. Sens., 2018

R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
CoRR, 2018

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network.
CoRR, 2018

Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks.
CoRR, 2018

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network.
IEEE Access, 2018

A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection.
IEEE Access, 2018

Object Detection with Head Direction in Remote Sensing Images Based on Rotational Region CNN.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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