Xiao Bai
Xiao Bai
Professor of Computer Science, Beihang University
Verified email at
Cited by
Cited by
Binary neural networks: A survey
H Qin, R Gong, X Liu, X Bai, J Song, N Sebe
Pattern Recognition 105, 107281, 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
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
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
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
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
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
Graph characteristics from the heat kernel trace
B Xiao, ER Hancock, RC Wilson
Pattern Recognition 42 (11), 2589-2606, 2009
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
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
Online sketching hashing
C Leng, J Wu, J Cheng, X Bai, H Lu
Proceedings of the IEEE conference on computer vision and pattern …, 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
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
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
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
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
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
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
Multi-view stereo in the deep learning era: A comprehensive review
X Wang, C Wang, B Liu, X Zhou, L Zhang, J Zheng, X Bai
Displays 70, 102102, 2021
Material based salient object detection from hyperspectral images
J Liang, J Zhou, L Tong, X Bai, B Wang
Pattern Recognition 76, 476-490, 2018
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