Zilong Zhong

According to our database, Zilong Zhong authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

In-Season Wall-to-Wall Crop-Type Mapping Using Ensemble of Image Segmentation Models.

Sheir A. Zaheer, Youngryel Ryu, Junghee Lee, Zilong Zhong, Kyungdo Lee

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework.

Zilong Zhong, Ying Li, Lingfei Ma, Jonathan Li, Wei-Shi Zheng

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.

Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Michael A. Chapman, Dongpu Cao, Jonathan Li

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation.

Ying Li, Lingfei Ma, Zilong Zhong, Dongpu Cao, Jonathan Li

IEEE Trans. Geosci. Remote. Sens., 2020

Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification.

Zilong Zhong, Jonathan Li, David A. Clausi, Alexander Wong

IEEE Trans. Cybern., 2020

Squeeze-and-Attention Networks for Semantic Segmentation.

Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Jonathan Li, Alexander Wong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification.

Zilong Zhong

PhD thesis, 2019

Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.

Lingfei Ma, Ying Li, Jonathan Li, Zilong Zhong, Michael A. Chapman

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Squeeze-and-Attention Networks for Semantic Segmentation.

Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong

CoRR, 2019

2018

Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework.

Zilong Zhong, Jonathan Li, Zhiming Luo, Michael A. Chapman

IEEE Trans. Geosci. Remote. Sens., 2018

Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification.

Zilong Zhong, Jonathan Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep residual networks for hyperspectral image classification.

Zilong Zhong, Jonathan Li, Lingfei Ma, Han Jiang, He Zhao

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Fully convolutional networks for building and road extraction: Preliminary results.

Zilong Zhong, Jonathan Li, Weihong Cui, Han Jiang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Determining the effect of spatial resolution in land use classification using optical aerial imagery.

Han Jiang, Alex Smith, Zilong Zhong, Jonathan Li

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016