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Zilong Zhong
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2020 – today
- 2024
- [j9]Yin Li, Zilong Zhong:
Decoding the application of deep learning in neuroscience: a bibliometric analysis. Frontiers Comput. Neurosci. 18 (2024) - [j8]Zilong Zhong
, Lin Fan:
Introduction to Digital Humanities: Enhancing Scholarship with the Use of Technology. Kathryn C. Wymer. Digit. Scholarsh. Humanit. 39(1): 463-465 (2024) - 2023
- [j7]Sheir A. Zaheer
In-Season Wall-to-Wall Crop-Type Mapping Using Ensemble of Image Segmentation Models. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - 2022
- [j6]Zilong Zhong
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j5]Ying Li
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3412-3432 (2021) - 2020
- [j4]Zilong Zhong
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. IEEE Trans. Cybern. 50(7): 3318-3329 (2020) - [j3]Ying Li
TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation. IEEE Trans. Geosci. Remote. Sens. 58(5): 3588-3600 (2020) - [c5]Zilong Zhong
Squeeze-and-Attention Networks for Semantic Segmentation. CVPR 2020: 13062-13071 - [i4]Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman:
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. CoRR abs/2005.09830 (2020)
2010 – 2019
- 2019
- [b1]Zilong Zhong:
Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification. University of Waterloo, Ontario, Canada, 2019 - [j2]Lingfei Ma
Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(5): 1572-1586 (2019) - [i3]Zilong Zhong, Jonathan Li, David A. Clausi, Alexander Wong:
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification. CoRR abs/1905.04621 (2019) - [i2]Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong:
Squeeze-and-Attention Networks for Semantic Segmentation. CoRR abs/1909.03402 (2019) - 2018
- [j1]Zilong Zhong
Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework. IEEE Trans. Geosci. Remote. Sens. 56(2): 847-858 (2018) - [c4]Zilong Zhong, Jonathan Li:
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. AAAI 2018: 8191-8193 - [i1]Zilong Zhong, Jonathan Li:
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification. CoRR abs/1802.03495 (2018) - 2017
- [c3]Zilong Zhong, Jonathan Li
Deep residual networks for hyperspectral image classification. IGARSS 2017: 1824-1827 - 2016
- [c2]Zilong Zhong, Jonathan Li
Fully convolutional networks for building and road extraction: Preliminary results. IGARSS 2016: 1591-1594 - [c1]Han Jiang, Alex Smith, Zilong Zhong, Jonathan Li
Determining the effect of spatial resolution in land use classification using optical aerial imagery. IGARSS 2016: 2272-2275
Coauthor Index
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last updated on 2024-10-17 21:27 CEST by the dblp team
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