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 | 588 | 2018 |
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 | 448 | 2019 |
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 | 404 | 2018 |
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 | 310 | 2018 |
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 | 220 | 2019 |
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 | 204 | 2013 |
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 | 194 | 2012 |
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 | 166 | 2017 |
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 | 156 | 2017 |
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 | 152 | 2022 |
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 | 146 | 2018 |
Segment anything model for medical images? Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou, R Chen, J Yu, J Chen, ... Medical Image Analysis 92, 103061, 2024 | 131 | 2024 |
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 | 103 | 2020 |
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 | 88 | 2020 |
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 | 78 | 2018 |
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 | 72 | 2023 |
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 | 64 | 2019 |
A skeletal similarity metric for quality evaluation of retinal vessel segmentation Z Yan, X Yang, KT Cheng IEEE transactions on medical imaging 37 (4), 1045-1057, 2017 | 62 | 2017 |
In defense of the commons: Young children negatively evaluate and sanction free riders F Yang, YJ Choi, A Misch, X Yang, Y Dunham Psychological science 29 (10), 1598-1611, 2018 | 59 | 2018 |
Bi-modality medical image synthesis using semi-supervised sequential generative adversarial networks X Yang, Y Lin, Z Wang, X Li, KT Cheng IEEE journal of biomedical and health informatics 24 (3), 855-865, 2019 | 58 | 2019 |