| Binary neural networks: A survey H Qin, R Gong, X Liu, X Bai, J Song, N Sebe Pattern Recognition 105, 107281, 2020 | 477 | 2020 |
| Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments X Bai, X Wang, X Liu, Q Liu, J Song, N Sebe, B Kim Pattern Recognition 120, 108102, 2021 | 219 | 2021 |
| Feature refinement and filter network for person re-identification X Ning, K Gong, W Li, L Zhang, X Bai, S Tian IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3391-3402, 2020 | 217 | 2020 |
| Self-trained deep ordinal regression for end-to-end video anomaly detection G Pang, C Yan, C Shen, A Hengel, X Bai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 216 | 2020 |
| Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss C Yan, G Pang, X Bai, C Liu, X Ning, L Gu, J Zhou IEEE Transactions on Multimedia 24, 1665-1677, 2021 | 191 | 2021 |
| Multiscale visual attention networks for object detection in VHR remote sensing images C Wang, X Bai, S Wang, J Zhou, P Ren IEEE Geoscience and Remote Sensing Letters 16 (2), 310-314, 2018 | 183 | 2018 |
| Adaptive unimodal cost volume filtering for deep stereo matching Y Zhang, Y Chen, X Bai, S Yu, K Yu, Z Li, K Yang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12926 …, 2020 | 164 | 2020 |
| Graph characteristics from the heat kernel trace B Xiao, ER Hancock, RC Wilson Pattern Recognition 42 (11), 2589-2606, 2009 | 157 | 2009 |
| VHR object detection based on structural feature extraction and query expansion X Bai, H Zhang, J Zhou IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6508-6520, 2014 | 142 | 2014 |
| Uncertainty estimation for stereo matching based on evidential deep learning C Wang, X Wang, J Zhang, L Zhang, X Bai, X Ning, J Zhou, E Hancock Pattern Recognition 124, 108498, 2022 | 141 | 2022 |
| Online sketching hashing C Leng, J Wu, J Cheng, X Bai, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 134 | 2015 |
| On the sampling strategy for evaluation of spectral-spatial methods in hyperspectral image classification J Liang, J Zhou, Y Qian, L Wen, X Bai, Y Gao IEEE Transactions on Geoscience and Remote Sensing 55 (2), 862-880, 2016 | 123 | 2016 |
| Goal-oriented gaze estimation for zero-shot learning Y Liu, L Zhou, X Bai, Y Huang, L Gu, J Zhou, T Harada Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 107 | 2021 |
| HCFNN: high-order coverage function neural network for image classification X Ning, W Tian, Z Yu, W Li, X Bai, Y Wang Pattern Recognition 131, 108873, 2022 | 93 | 2022 |
| Ground target classification in noisy SAR images using convolutional neural networks J Wang, T Zheng, P Lei, X Bai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 87 | 2018 |
| Learning discriminative features by covering local geometric space for point cloud analysis C Wang, X Ning, L Sun, L Zhang, W Li, X Bai IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 86 | 2022 |
| Hyper-sausage coverage function neuron model and learning algorithm for image classification X Ning, W Tian, F He, X Bai, L Sun, W Li Pattern Recognition 136, 109216, 2023 | 85 | 2023 |
| Material based salient object detection from hyperspectral images J Liang, J Zhou, L Tong, X Bai, B Wang Pattern Recognition 76, 476-490, 2018 | 79 | 2018 |
| Adaptive hash retrieval with kernel based similarity X Bai, C Yan, H Yang, L Bai, J Zhou, ER Hancock Pattern Recognition 75, 136-148, 2018 | 78 | 2018 |
| Nonlocal similarity based nonnegative tucker decomposition for hyperspectral image denoising X Bai, F Xu, L Zhou, Y Xing, L Bai, J Zhou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 73 | 2018 |
Jun ZhouSchool of Information and Communication Technology, Griffith UniversityDirección de correo verificada de griffith.edu.au
