| 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 | 1260 | 2009 |
| 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 | 759 | 2006 |
| 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 | 637 | 2020 |
| 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 | 514 | 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 | 350 | 2019 |
| Gabor convolutional networks S Luan, C Chen, B Zhang, J Han, J Liu IEEE Transactions on Image Processing 27 (9), 4357-4366, 2018 | 343 | 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 | 243 | 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 | 221 | 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 | 209 | 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 | 192 | 2017 |
| 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 | 170 | 2016 |
| 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 | 167 | 2021 |
| 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 | 158 | 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 | 152 | 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 | 138 | 2019 |
| 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 | 133 | 2015 |
| 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 | 130 | 2018 |
| 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 | 125 | 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 | 102 | 2020 |
| Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR) Z Han, J Jiao, B Zhang, Q Ye, J Liu Pattern Recognition 44 (9), 2170-2183, 2011 | 102 | 2011 |
Rongrong Ji 纪荣嵘Professor, Xiamen UniversityVerified email at xmu.edu.cn
