Следене
Gao Huang （黄高）
Gao Huang （黄高）
Associate Professor, Tsinghua University
Потвърден имейл адрес: tsinghua.edu.cn - Начална страница
Заглавие
Позовавания
Позовавания
Година
Densely connected convolutional networks
G Huang, Z Liu, L Van Der Maaten, K Weinberger
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
476682017
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
29662017
Deep Networks with Stochastic Depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European Conference on Computer Vision (ECCV), 646-661, 2016
27612016
Trends in extreme learning machines: A review
G Huang, GB Huang, S Song, K You
Neural Networks 61, 32-48, 2015
19592015
Rethinking the value of network pruning
Z Liu, M Sun, T Zhou, G Huang, T Darrell
International Conference on Learning Representations (ICLR), 2018
17242018
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
11172017
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
9912018
Semi-supervised and unsupervised extreme learning machines
G Huang, S Song, JND Gupta, C Wu
IEEE Transactions on Cybernetics 44 (12), 2405 - 2417, 2014
9192014
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
6702021
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
5212019
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
5162019
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
5012022
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
3942021
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
3632022
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
3502018
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
344*2022
Densely connected convolutional networks. arXiv 2016
G Huang, Z Liu, L van der Maaten, KQ Weinberger
arXiv preprint arXiv:1608.06993 1608, 2018
3242018
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
3162018
Densely connected convolutional networks (2016)
G Huang, Z Liu, L van der Maaten, KQ Weinberger
arXiv preprint arXiv:1608.06993 7, 2016
2782016
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20