Zisha Zhong

Orcid: 0000-0002-2086-8435

According to our database1, Zisha Zhong authored at least 12 papers between 2015 and 2022.

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

2022
Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2022

2020
PackDet: Packed Long-Head Object Detector.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
3-D Surface Segmentation Meets Conditional Random Fields.
CoRR, 2019

2018
3D fully convolutional networks for co-segmentation of tumors on PET-CT images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Improving tumor co-segmentation on PET-CT images with 3D co-matting.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCT.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Structured binary feature extraction for hyperspectral imagery classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Efficient Multiple Feature Fusion With Hashing for Hyperspectral Imagery Classification: A Comparative Study.
IEEE Trans. Geosci. Remote. Sens., 2016

2015
Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2015

Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2015

Sparse Hierarchical Clustering for VHR Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2015


  Loading...