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Dong LIANG
标题
引用次数
引用次数
年份
I can find you! Boundary-guided Separated Attention Network for Camouflaged Object Detection
H Zhu, P Li, H Xie, X Yan, D Liang, D Chen, M Wei, J Qin
Thirty-Sixth AAAI Conference on Artificial Intelligence(AAAI)2022, 2022
912022
Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification
X Zhao, Z He, S Zhang, D Liang
Pattern Recognition 48 (6), 1947-1960, 2015
882015
Co-occurrence probability-based pixel pairs background model for robust object detection in dynamic scenes
D Liang, M Hashimoto, K Iwata, X Zhao
Pattern Recognition 48 (4), 1374-1390, 2015
772015
Semantically Contrastive Learning for Low-light Image Enhancement
D Liang, L Li, M Wei, S Yang, L Zhang, W Yang, Y Du, H Zhou
Thirty-Sixth AAAI Conference on Artificial Intelligence(AAAI)2022 (arXiv …, 2022
712022
A sparse-representation-based robust inspection system for hidden defects classification in casting components
X Zhao, Z He, S Zhang, D Liang
Neurocomputing 153, 1-10, 2015
472015
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
D Liang, Q Geng, Z Wei, DA Vorontsov, EL Kim, M Wei, H Zhou
IEEE Transactions on Geoscience and Remote Sensing, 2022
432022
TIB-Net: Drone detection network with tiny iterative backbone
H Sun, J Yang, J Shen, D Liang, L Ning-Zhong, H Zhou
Ieee Access 8, 130697-130707, 2020
432020
Learning calibrated-guidance for object detection in aerial images
Z Wei, D Liang, D Zhang, L Zhang, Q Geng, M Wei, H Zhou
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
342022
Design optimization of large-mode-area all-solid photonic bandgap fibers for high-power laser applications
S Saitoh, K Saitoh, M Kashiwagi, S Matsuo, L Dong
Journal of lightwave technology 32 (3), 440-449, 2013
312013
Learning rules in spiking neural networks: A survey
Z Yi, J Lian, Q Liu, H Zhu, D Liang, J Liu
Neurocomputing 531, 163-179, 2023
252023
Foreground detection based on co-occurrence background model with hypothesis on degradation modification in dynamic scenes
W Zhou, S Kaneko, M Hashimoto, Y Satoh, D Liang
Signal Processing 160, 66-79, 2019
232019
Active terahertz imaging dataset for concealed object detection
D Liang, F Xue, L Li
arXiv preprint arXiv:2105.03677, 2021
222021
Robust visual tracking via nonlocal regularized multi-view sparse representation
B Kang, WP Zhu, D Liang, M Chen
Pattern Recognition 88, 75-89, 2019
212019
Spatio-temporal attention model for foreground detection in cross-scene surveillance videos
D Liang, J Pan, H Sun, H Zhou
Sensors 19 (23), 5142, 2019
192019
Concealed object segmentation in terahertz imaging via adversarial learning
D Liang, J Pan, Y Yu, H Zhou
International Journal for Light and Electron Optics (Optik) 185, 1104-1114, 2019
182019
Cross-scene foreground segmentation with supervised and unsupervised model communication
D Liang, B Kang, X Liu, P Gao, X Tan, S Kaneko
Pattern Recognition 117, 107995, 2021
172021
Improvements and experiments of a compact statistical background model
D Liang, S Kaneko
arXiv preprint arXiv:1405.6275, 2014
172014
Robust multi‐feature visual tracking via multi‐task kernel‐based sparse learning
B Kang, WP Zhu, D Liang
IET Image Processing 11 (12), 1172-1178, 2017
162017
Adaptive local spatial modeling for online change detection under abrupt dynamic background
D Liang, S Kaneko, H Sun, B Kang
2017 IEEE International Conference on Image Processing (ICIP), 2020-2024, 2017
162017
Grayscale-thermal tracking via inverse sparse representation-based collaborative encoding
B Kang, D Liang, W Ding, H Zhou, WP Zhu
IEEE Transactions on Image Processing 29, 3401-3415, 2019
152019
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