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Changxing Ding
Changxing Ding
在 scut.edu.cn 的电子邮件经过验证 - 首页
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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
18402018
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
5122018
Robust face recognition via multimodal deep face representation
C Ding, D Tao
IEEE Transactions on Multimedia 17 (11), 2049-2058, 2015
4952015
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
4182016
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
4052016
Two-stage cascaded U-Net: 1st place solution to BraTS challenge 2019 segmentation task
Z Jiang, C Ding, M Liu, D Tao
International MICCAI brainlesion workshop, 231-241, 2019
3492019
Multi-task pose-invariant face recognition
C Ding, C Xu, D Tao
IEEE Transactions on Image Processing 24 (3), 980-993, 2015
2952015
GPS-Net: Graph Property Sensing Network for Scene Graph Generation
X Lin, C Ding, J Zeng, D Tao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2452020
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
2012020
Dual-force convolutional neural networks for accurate brain tumor segmentation
S Chen, C Ding, M Liu
Pattern Recognition 88, 90-100, 2019
1892019
Pose-invariant face recognition with homography-based normalization
C Ding, D Tao
Pattern Recognition 66, 144–152, 2017
1512017
Learning contextual and attentive information for brain tumor segmentation
C Zhou, S Chen, C Ding, D Tao
MICCAI BrainLes 2018 workshop, 2018
1382018
Correcting the Triplet Selection Bias for Triplet Loss
B Yu, T Liu, M Gong, C Ding, D Tao
European Conference on Computer Vision (ECCV), 71-87, 2018
1072018
Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
Z Ding, C Ding, Z Shao, D Tao
arXiv preprint arXiv:2107.12666, 2021
1052021
Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection
X Zhong, X Qu, C Ding, D Tao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1042021
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
862018
Multi-task learning with coarse priors for robust part-aware person re-identification
C Ding, K Wang, P Wang, D Tao
IEEE transactions on pattern analysis and machine intelligence 44 (3), 1474-1488, 2022
802022
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Z Shao, X Zhang, M Fang, Z Lin, J Wang, C Ding
ACM International Conference on Multimedia (ACM MM), 2022
722022
Polysemy Deciphering Network for Human-Object Interaction Detection
X Zhong, C Ding, X Qu, D Tao
European Conference on Computer Vision (ECCV), 2020
712020
Polysemy deciphering network for robust human-object interaction detection
X Zhong, C Ding, X Qu, D Tao
International Journal of Computer Vision (IJCV) 129, 1910-1929, 2021
552021
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