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2020 – today
- 2024
[j11]Keyan Wang
, Jia Jia, Peicheng Zhou, Haoyi Ma, Liyun Yang, Kai Liu, Yunsong Li:
Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization. Remote. Sens. 16(18): 3431 (2024)- [j10]Keyan Wang, Xueyan Wu, Peicheng Zhou, Zuntian Chen, Rui Zhang, Liyun Yang, Yunsong Li:
AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4208-4221 (2024) - 2023
- [j9]Cong Li, Gong Cheng, Guangxing Wang, Peicheng Zhou, Junwei Han:
Instance-Aware Distillation for Efficient Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j8]Yanqing Yao, Gong Cheng, Guangxing Wang, Shengyang Li, Peicheng Zhou, Xingxing Xie, Junwei Han:
On Improving Bounding Box Representations for Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - 2020
- [i1]Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han:
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning. CoRR abs/2007.06143 (2020)
2010 – 2019
- 2019
- [j7]Peicheng Zhou, Junwei Han, Gong Cheng, Baochang Zhang:
Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(7): 4823-4833 (2019) - [j6]Gong Cheng, Junwei Han, Peicheng Zhou, Dong Xu:
Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection. IEEE Trans. Image Process. 28(1): 265-278 (2019) - [j5]Xun Yang, Peicheng Zhou, Meng Wang:
Person Reidentification via Structural Deep Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2987-2998 (2019) - 2018
- [j4]Gong Cheng, Peicheng Zhou, Junwei Han:
Duplex Metric Learning for Image Set Classification. IEEE Trans. Image Process. 27(1): 281-292 (2018) - 2016
- [j3]Peicheng Zhou, Gong Cheng, Zhenbao Liu, Shuhui Bu, Xintao Hu:
Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping. Multidimens. Syst. Signal Process. 27(4): 925-944 (2016) - [j2]Gong Cheng, Peicheng Zhou, Junwei Han:
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(12): 7405-7415 (2016) - [c5]Gong Cheng, Peicheng Zhou, Junwei Han:
RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection. CVPR 2016: 2884-2893 - [c4]Gong Cheng, Chengcheng Ma, Peicheng Zhou, Xiwen Yao, Junwei Han:
Scene classification of high resolution remote sensing images using convolutional neural networks. IGARSS 2016: 767-770 - [c3]Xiwen Yao, Junwei Han, Gong Cheng, Peicheng Zhou, Lei Guo:
Semantic annotation of satellite images via joint multi-feature learning with diversity constraint. IGARSS 2016: 5441-5444 - 2015
- [j1]Gong Cheng, Peicheng Zhou, Junwei Han, Lei Guo, Jungong Han:
Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images. IET Comput. Vis. 9(5): 639-647 (2015) - [c2]Peicheng Zhou, Dingwen Zhang, Gong Cheng, Junwei Han:
Negative Bootstrapping for Weakly Supervised Target Detection in Remote Sensing Images. BigMM 2015: 318-323 - 2014
- [c1]Gong Cheng, Junwei Han, Peicheng Zhou, Lei Guo:
Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images. IGARSS 2014: 2479-2482
Coauthor Index
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