| 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 | 3090 | 2018 |
| 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 | 2985 | 2018 |
| Selective kernel networks X Li, W Wang, X Hu, J Yang Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2019 | 2778 | 2019 |
| Recurrent convolutional neural network for object recognition M Liang, X Hu Proceedings of the IEEE conference on computer vision and pattern
, 2015 | 1359 | 2015 |
| Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection X Li, W Wang, L Wu, S Chen, X Hu, J Li, J Tang, J Yang Advances in Neural Information Processing Systems 33, 21002-21012, 2020 | 1144 | 2020 |
| 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 | 1022 | 2018 |
| 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 | 501 | 2019 |
| 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 | 385 | 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 | 358 | 2018 |
| Online knowledge distillation via collaborative learning Q Guo, X Wang, Y Wu, Z Yu, D Liang, X Hu, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2020 | 329 | 2020 |
| Generalized focal loss v2: Learning reliable localization quality estimation for dense object detection X Li, W Wang, X Hu, J Li, J Tang, J Yang Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2021 | 281 | 2021 |
| 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 | 275 | 2016 |
| Spatial group-wise enhance: Improving semantic feature learning in convolutional networks X Li, X Hu, J Yang arXiv preprint arXiv:1905.09646, 2019 | 271 | 2019 |
| Line-cnn: End-to-end traffic line detection with line proposal unit X Li, J Li, X Hu, J Yang IEEE Transactions on Intelligent Transportation Systems 21 (1), 248-258, 2019 | 262 | 2019 |
| 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 | 258 | 2006 |
| Gated recurrent convolution neural network for ocr J Wang, X Hu Advances in Neural Information Processing Systems 30, 2017 | 223 | 2017 |
| Pruning from scratch Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12273
, 2020 | 213 | 2020 |
| Knowledge distillation via route constrained optimization X Jin, B Peng, Y Wu, Y Liu, J Liu, D Liang, J Yan, X Hu Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2019 | 207 | 2019 |
| 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 | 197 | 2008 |
| 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 | 170 | 2017 |
Ming LiangDepartment of Computer Science and Technology, Tsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
