Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor B Zhang, Y Gao, S Zhao, J Liu IEEE transactions on image processing 19 (2), 533-544, 2009 | 1290 | 2009 |
Hrank: Filter pruning using high-rank feature map M Lin, R Ji, Y Wang, Y Zhang, B Zhang, Y Tian, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 822 | 2020 |
Histogram of gabor phase patterns (hgpp): A novel object representation approach for face recognition B Zhang, S Shan, X Chen, W Gao IEEE Transactions on Image processing 16 (1), 57-68, 2006 | 765 | 2006 |
Towards optimal structured cnn pruning via generative adversarial learning S Lin, R Ji, C Yan, B Zhang, L Cao, Q Ye, F Huang, D Doermann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 617 | 2019 |
Crowd counting and density estimation by trellis encoder-decoder networks X Jiang, Z Xiao, B Zhang, X Zhen, X Cao, D Doermann, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 395 | 2019 |
Gabor convolutional networks S Luan, C Chen, B Zhang, J Han, J Liu IEEE Transactions on Image Processing 27 (9), 4357-4366, 2018 | 395 | 2018 |
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. S Lin, R Ji, Y Li, Y Wu, F Huang, B Zhang IJCAI 2 (7), 8, 2018 | 277 | 2018 |
Learning compact and discriminative stacked autoencoder for hyperspectral image classification P Zhou, J Han, G Cheng, B Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4823-4833, 2019 | 271 | 2019 |
Channel pruning via automatic structure search M Lin, R Ji, Y Zhang, B Zhang, Y Wu, Y Tian arXiv preprint arXiv:2001.08565, 2020 | 267 | 2020 |
Cross-modality binary code learning via fusion similarity hashing H Liu, R Ji, Y Wu, F Huang, B Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 221 | 2017 |
Memory attention networks for skeleton-based action recognition C Li, C Xie, B Zhang, J Han, X Zhen, J Chen IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4800-4814, 2021 | 206 | 2021 |
Land-use scene classification using multi-scale completed local binary patterns C Chen, B Zhang, H Su, W Li, L Wang Signal, image and video processing 10, 745-752, 2016 | 178 | 2016 |
Action recognition using 3D histograms of texture and a multi-class boosting classifier B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao IEEE Transactions on Image processing 26 (10), 4648-4660, 2017 | 169 | 2017 |
Directional binary code with application to PolyU near-infrared face database B Zhang, L Zhang, D Zhang, L Shen Pattern recognition letters 31 (14), 2337-2344, 2010 | 157 | 2010 |
Exploiting kernel sparsity and entropy for interpretable CNN compression Y Li, S Lin, B Zhang, J Liu, D Doermann, Y Wu, F Huang, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 156 | 2019 |
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. G Wu, Z Lin, J Han, L Liu, G Ding, B Zhang, J Shen IJCAI 1 (3), 5, 2018 | 155 | 2018 |
Geometric reinforcement learning for path planning of UAVs B Zhang, Z Mao, W Liu, J Liu Journal of Intelligent & Robotic Systems 77, 391-409, 2015 | 142 | 2015 |
Automatic modulation classification based on deep learning for unmanned aerial vehicles D Zhang, W Ding, B Zhang, C Xie, H Li, C Liu, J Han Sensors 18 (3), 924, 2018 | 137 | 2018 |
Rotated binary neural network M Lin, R Ji, Z Xu, B Zhang, Y Wang, Y Wu, F Huang, CW Lin Advances in neural information processing systems 33, 7474-7485, 2020 | 134 | 2020 |
Fundamentals and Applications J Zhang, PEMFC Electrocatalysts, C Layers Springer, 2008 | 124 | 2008 |