Changxing Ding
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Robust face recognition via multimodal deep face representation
C Ding, D Tao
IEEE Transactions on Multimedia 17 (11), 2049-2058, 2015
Multi-directional multi-level dual-cross patterns for robust face recognition
C Ding, J Choi, D Tao, LS Davis
IEEE transactions on pattern analysis and machine intelligence 38 (3), 518-531, 2016
A comprehensive survey on pose-invariant face recognition
C Ding, D Tao
ACM Transactions on intelligent systems and technology (TIST) 7 (3), 1-42, 2016
Trunk-branch ensemble convolutional neural networks for video-based face recognition
C Ding, D Tao
IEEE transactions on pattern analysis and machine intelligence 40 (4), 1002-1014, 2018
Multi-task pose-invariant face recognition
C Ding, C Xu, D Tao
IEEE Transactions on Image Processing 24 (3), 980-993, 2015
Pose-invariant face recognition with homography-based normalization
C Ding, D Tao
Pattern Recognition 66, 144–152, 2017
Dual-force convolutional neural networks for accurate brain tumor segmentation
S Chen, C Ding, M Liu
Pattern Recognition 88, 90-100, 2019
Learning contextual and attentive information for brain tumor segmentation
C Zhou, S Chen, C Ding, D Tao
MICCAI BrainLes 2018 workshop (The 3rd position in 64 teams of BRATS Challenge), 2018
The 2013 face recognition evaluation in mobile environment
M GŁnther, A Costa-Pazo, C Ding, E Boutellaa, G Chiachia, H Zhang, ...
2013 International Conference on Biometrics (ICB), 1-7, 2013
Report on the FG 2015 Video Person Recognition Evaluation
JR Beveridge, H Zhang, BA Draper, PJ Flynn, Z Feng, P Huber, J Kittler, ...
Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International†…, 2015
Two-Stage Cascaded U-Net: 1st Place Solution to BraTS Challenge 2019 Segmentation Task
Z Jiang, C Ding, M Liu, D Tao
MICCAI BrainLes 2019 workshop, 231-241, 2019
Correcting the Triplet Selection Bias for Triplet Loss
B Yu, T Liu, M Gong, C Ding, D Tao
ECCV 2018, 71-87, 2018
Automated inspection of E-shaped magnetic core elements using K-tSL-center clustering and active shape models
H Gao, C Ding, C Song, J Mei
IEEE Transactions on Industrial Informatics 9 (3), 1782-1789, 2013
One-pass multi-task networks with cross-task guided attention for brain tumor segmentation
C Zhou, C Ding, X Wang, Z Lu, D Tao
IEEE Transactions on Image Processing 29, 4516-4529, 2020
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
C Zhou, C Ding, Z Lu, X Wang, D Tao
MICCAI 2018, 637-645, 2018
GPS-Net: Graph Property Sensing Network for Scene Graph Generation
X Lin, C Ding, J Zeng, D Tao
CVPR 2020, 2020
Report on the BTAS 2016 Video Person Recognition Evaluation
W Scheirer, PJ Flynn, C Ding, G Guo, V Štruc, M Al Jazaery, K Grm, ...
Proc. IEEE BTAS, 2016
Soft-Ranking Label Encoding for Robust Facial Age Estimation
X Zeng, J Huang, C Ding
IEEE Access 8, 134209-134218, 2020
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification
K Wang, C Ding, SJ Maybank, D Tao
IEEE Transactions on Image Processing 29, 3416-3428, 2019
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