| Densely connected convolutional networks G Huang, Z Liu, L Van Der Maaten, K Weinberger IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 47655 | 2017 |
| Learning efficient convolutional networks through network slimming Z Liu, J Li, Z Shen, G Huang, S Yan, C Zhang IEEE International Conference on Computer Vision (ICCV), 2736-2744, 2017 | 2967 | 2017 |
| Deep Networks with Stochastic Depth G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger European Conference on Computer Vision (ECCV), 646-661, 2016 | 2758 | 2016 |
| Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015 | 1957 | 2015 |
| Rethinking the value of network pruning Z Liu, M Sun, T Zhou, G Huang, T Darrell International Conference on Learning Representations (ICLR), 2018 | 1724 | 2018 |
| Snapshot ensembles: Train 1, get M for free G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger International Conference on Learning Representations (ICLR), 2017 | 1117 | 2017 |
| Multi-scale dense networks for resource efficient image classification G Huang, D Chen, T Li, F Wu, L van der Maaten, KQ Weinberger International Conference on Learning Representations (ICLR), 2018 | 1022* | 2018 |
| CondenseNet: An Efficient DenseNet using Learned Group Convolutions G Huang, S Liu, L van der Maaten, KQ Weinberger IEEE Conference on Pattern Recognition and Computer Vision (CVPR) 3 (12), 11, 2018 | 991 | 2018 |
| Semi-supervised and unsupervised extreme learning machines G Huang, S Song, JND Gupta, C Wu IEEE Transactions on Cybernetics 44 (12), 2405 - 2417, 2014 | 919 | 2014 |
| Dynamic neural networks: A survey Y Han, G Huang, S Song, L Yang, H Wang, Y Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 670 | 2021 |
| Convolutional Networks with Dense Connectivity G Huang, Z Liu, G Pleiss, L Van Der Maaten, KQ Weinberger IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 …, 2019 | 521 | 2019 |
| Horizontal pyramid matching for person re-identification Y Fu, Y Wei, Y Zhou, H Shi, G Huang, X Wang, Z Yao, T Huang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 33 …, 2019 | 516 | 2019 |
| Vision Transformer with Deformable Attention Z Xia, X Pan, S Song, LE Li, G Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 500 | 2022 |
| 3D Object Detection with Pointformer X Pan, Z Xia, S Song, LE Li, G Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 394 | 2021 |
| On the Integration of Self-Attention and Convolution X Pan, C Ge, R Lu, S Song, G Chen, Z Huang, G Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 362 | 2022 |
| An empirical study on evaluation metrics of generative adversarial networks Q Xu, G Huang, Y Yuan, C Guo, Y Sun, F Wu, K Weinberger arXiv preprint arXiv:1806.07755, 2018 | 350 | 2018 |
| Regularizing deep networks with semantic data augmentation Y Wang, G Huang, S Song, X Pan, Y Xia, C Wu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 343* | 2022 |
| Densely connected convolutional networks. arXiv 2016 G Huang, Z Liu, L van der Maaten, KQ Weinberger arXiv preprint arXiv:1608.06993 1608, 2018 | 323 | 2018 |
| Resource Aware Person Re-identification across Multiple Resolutions Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8042-8051, 2018 | 316 | 2018 |
| Densely connected convolutional networks (2016) G Huang, Z Liu, L van der Maaten, KQ Weinberger arXiv preprint arXiv:1608.06993 7, 2016 | 278 | 2016 |
Shiji SongTsinghua UniversityVerified email at tsinghua.edu.cn
