Peicheng Zhou

Orcid: 0000-0003-2468-3128

According to our database1, Peicheng Zhou authored at least 16 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
On Improving Bounding Box Representations for Oriented Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Instance-Aware Distillation for Efficient Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

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

2019
Person Reidentification via Structural Deep Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection.
IEEE Trans. Image Process., 2019

Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
Duplex Metric Learning for Image Set Classification.
IEEE Trans. Image Process., 2018

2016
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2016

Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping.
Multidimens. Syst. Signal Process., 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

RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images.
IET Comput. Vis., 2015

Negative Bootstrapping for Weakly Supervised Target Detection in Remote Sensing Images.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014
Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


  Loading...