| High performance visual tracking with siamese region proposal network B Li, J Yan, W Wu, Z Zhu, X Hu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 861 | 2018 |
| Recurrent convolutional neural network for object recognition M Liang, X Hu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 821 | 2015 |
| Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 733 | 2018 |
| Defense against adversarial attacks using high-level representation guided denoiser F Liao, M Liang, Y Dong, T Pang, X Hu, J Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 345 | 2018 |
| Selective kernel networks X Li, W Wang, X Hu, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 335 | 2019 |
| Evaluate the malignancy of pulmonary nodules using the 3-d deep leaky noisy-or network F Liao, M Liang, Z Li, X Hu, S Song IEEE transactions on neural networks and learning systems 30 (11), 3484-3495, 2019 | 199 | 2019 |
| Joint training of cascaded CNN for face detection H Qin, J Yan, X Li, X Hu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 195 | 2016 |
| Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network X Hu, J Wang IEEE Transactions on Neural Networks 17 (6), 1487-1499, 2006 | 174 | 2006 |
| An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its -Winners-Take-All Application X Hu, J Wang IEEE Transactions on Neural networks 19 (12), 2022-2031, 2008 | 156 | 2008 |
| Understanding the disharmony between dropout and batch normalization by variance shift X Li, S Chen, X Hu, J Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 154 | 2019 |
| Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018 | 149 | 2018 |
| Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems X Hu, J Wang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 115 | 2007 |
| Traffic sign detection based on convolutional neural networks Y Wu, Y Liu, J Li, H Liu, X Hu The 2013 international joint conference on neural networks (IJCNN), 1-7, 2013 | 101 | 2013 |
| Traffic sign detection by ROI extraction and histogram features-based recognition M Liang, M Yuan, X Hu, J Li, H Liu The 2013 international joint conference on Neural networks (IJCNN), 1-8, 2013 | 87 | 2013 |
| Scale-aware face detection Z Hao, Y Liu, H Qin, J Yan, X Li, X Hu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 86 | 2017 |
| Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithms X Hu, Z Huang, Z Wang The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 2, 870-877, 2003 | 84 | 2003 |
| Gated recurrent convolution neural network for ocr J Wang, X Hu Proceedings of the 31st International Conference on Neural Information …, 2017 | 83 | 2017 |
| Delving deeper into convolutional neural networks for camera relocalization J Wu, L Ma, X Hu 2017 IEEE International Conference on Robotics and Automation (ICRA), 5644-5651, 2017 | 75 | 2017 |
| A recurrent neural network for solving a class of general variational inequalities X Hu, J Wang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 66 | 2007 |
| Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. M Liang, X Hu, B Zhang NIPS 1 (9), 15, 2015 | 65 | 2015 |
Ming LiangDepartment of Computer Science and Technology, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
