| 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 | 1840 | 2018 |
| 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 | 512 | 2018 |
| Robust face recognition via multimodal deep face representation C Ding, D Tao IEEE Transactions on Multimedia 17 (11), 2049-2058, 2015 | 495 | 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 | 418 | 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 | 405 | 2016 |
| 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 | 349 | 2019 |
| Multi-task pose-invariant face recognition C Ding, C Xu, D Tao IEEE Transactions on Image Processing 24 (3), 980-993, 2015 | 295 | 2015 |
| 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 | 245 | 2020 |
| 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 | 201 | 2020 |
| Dual-force convolutional neural networks for accurate brain tumor segmentation S Chen, C Ding, M Liu Pattern Recognition 88, 90-100, 2019 | 189 | 2019 |
| Pose-invariant face recognition with homography-based normalization C Ding, D Tao Pattern Recognition 66, 144–152, 2017 | 151 | 2017 |
| Learning contextual and attentive information for brain tumor segmentation C Zhou, S Chen, C Ding, D Tao MICCAI BrainLes 2018 workshop, 2018 | 138 | 2018 |
| 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 | 107 | 2018 |
| 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 | 105 | 2021 |
| 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 | 104 | 2021 |
| 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 | 86 | 2018 |
| 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 | 80 | 2022 |
| 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 | 72 | 2022 |
| Polysemy Deciphering Network for Human-Object Interaction Detection X Zhong, C Ding, X Qu, D Tao European Conference on Computer Vision (ECCV), 2020 | 71 | 2020 |
| 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 | 55 | 2021 |
Dacheng TaoNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
