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Yang Xin(杨欣)
Yang Xin(杨欣)
Dirección de correo verificada de hust.edu.cn - Página principal
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Citado por
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Año
Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
Z Liu, B Wu, W Luo, X Yang, W Liu, KT Cheng
Proceedings of the European conference on computer vision (ECCV), 722-737, 2018
6832018
Metapruning: Meta learning for automatic neural network channel pruning
Z Liu, H Mu, X Zhang, Z Guo, X Yang, KT Cheng, J Sun
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
5242019
Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation
Z Yan, X Yang, KT Cheng
IEEE Transactions on Biomedical Engineering 65 (9), 1912-1923, 2018
4562018
A three-stage deep learning model for accurate retinal vessel segmentation
Z Yan, X Yang, KT Cheng
IEEE journal of Biomedical and Health Informatics 23 (4), 1427-1436, 2018
3602018
Attention concatenation volume for accurate and efficient stereo matching
G Xu, J Cheng, P Guo, X Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2652022
Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting Cheng, and Jian Sun. Metapruning: Meta learning for automatic neural network channel pruning
Z Liu
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2572019
Local difference binary for ultrafast and distinctive feature description
X Yang, KTT Cheng
IEEE transactions on pattern analysis and machine intelligence 36 (1), 188-194, 2013
2052013
LDB: An ultra-fast feature for scalable augmented reality on mobile devices
X Yang, KT Cheng
2012 IEEE international symposium on mixed and augmented reality (ISMAR), 49-57, 2012
2042012
Iterative geometry encoding volume for stereo matching
G Xu, X Wang, X Ding, X Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2022023
Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks
MH Le, J Chen, L Wang, Z Wang, W Liu, KTT Cheng, X Yang
Physics in Medicine & Biology 62 (16), 6497, 2017
1872017
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
X Yang, C Liu, Z Wang, J Yang, H Le Min, L Wang, KTT Cheng
Medical image analysis 42, 212-227, 2017
1682017
Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound
Y Wang, N Wang, M Xu, J Yu, C Qin, X Luo, X Yang, T Wang, A Li, D Ni
IEEE transactions on medical imaging 39 (4), 866-876, 2019
1672019
Automated detection of clinically significant prostate cancer in mp-MRI images based on an end-to-end deep neural network
Z Wang, C Liu, D Cheng, L Wang, X Yang, KT Cheng
IEEE transactions on medical imaging 37 (5), 1127-1139, 2018
1652018
Variation-aware federated learning with multi-source decentralized medical image data
Z Yan, J Wicaksana, Z Wang, X Yang, KT Cheng
IEEE Journal of Biomedical and Health Informatics 25 (7), 2615-2628, 2020
1362020
Bi-real net: Binarizing deep network towards real-network performance
Z Liu, W Luo, B Wu, X Yang, W Liu, KT Cheng
International Journal of Computer Vision 128, 202-219, 2020
1122020
Act: An autonomous drone cinematography system for action scenes
C Huang, F Gao, J Pan, Z Yang, W Qiu, P Chen, X Yang, S Shen, ...
2018 ieee international conference on robotics and automation (icra), 7039-7046, 2018
952018
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
J Liang, X Yang, Y Huang, H Li, S He, X Hu, Z Chen, W Xue, J Cheng, ...
Medical image analysis 79, 102461, 2022
912022
Generalizable cross-modality medical image segmentation via style augmentation and dual normalization
Z Zhou, L Qi, X Yang, D Ni, Y Shi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
812022
Fast depth prediction and obstacle avoidance on a monocular drone using probabilistic convolutional neural network
X Yang, J Chen, Y Dang, H Luo, Y Tang, C Liao, P Chen, KT Cheng
IEEE Transactions on Intelligent Transportation Systems 22 (1), 156-167, 2019
792019
FedMix: Mixed supervised federated learning for medical image segmentation
J Wicaksana, Z Yan, D Zhang, X Huang, H Wu, X Yang, KT Cheng
IEEE Transactions on Medical Imaging 42 (7), 1955-1968, 2022
692022
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