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Guoliang Kang
Guoliang Kang
Dirección de correo verificada de buaa.edu.cn - Página principal
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Año
Random erasing data augmentation
Z Zhong, L Zheng, G Kang, S Li, Y Yang
Proceedings of the AAAI conference on artificial intelligence 34 (07), 13001 …, 2020
35472020
Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification
W Deng, L Zheng, Q Ye, G Kang, Y Yang, J Jiao
Proceedings of the IEEE conference on computer vision and pattern …, 2018
10852018
Soft filter pruning for accelerating deep convolutional neural networks
Y He, G Kang, X Dong, Y Fu, Y Yang
IJCAI 2018, 2018
10662018
Contrastive adaptation network for single-and multi-source domain adaptation
G Kang, L Jiang, Y Wei, Y Yang, A Hauptmann
IEEE transactions on pattern analysis and machine intelligence 44 (4), 1793-1804, 2020
981*2020
Multi-modal curriculum learning for semi-supervised image classification
C Gong, D Tao, SJ Maybank, W Liu, G Kang, J Yang
IEEE Transactions on Image Processing 25 (7), 3249-3260, 2016
3362016
Multi-interest network with dynamic routing for recommendation at Tmall
C Li, Z Liu, M Wu, Y Xu, H Zhao, P Huang, G Kang, Q Chen, W Li, DL Lee
Proceedings of the 28th ACM international conference on information and …, 2019
3122019
Self-produced guidance for weakly-supervised object localization
X Zhang, Y Wei, G Kang, Y Yang, T Huang
Proceedings of the European conference on computer vision (ECCV), 597-613, 2018
2652018
Asymptotic soft filter pruning for deep convolutional neural networks
Y He, X Dong, G Kang, Y Fu, C Yan, Y Yang
IEEE transactions on cybernetics 50 (8), 3594-3604, 2019
179*2019
Content-consistent matching for domain adaptive semantic segmentation
G Li, G Kang, W Liu, Y Wei, Y Yang
European conference on computer vision, 440-456, 2020
1492020
Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization
G Kang, L Zheng, Y Yan, Y Yang
Proceedings of the European conference on computer vision (ECCV), 401-416, 2018
1462018
Shakeout: A new approach to regularized deep neural network training
G Kang, J Li, D Tao
IEEE transactions on pattern analysis and machine intelligence 40 (5), 1245-1258, 2017
130*2017
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
G Kang, Y Wei, Y Yang, Y Zhuang, A Hauptmann
Advances in Neural Information Processing Systems (Oral) 33, 2020
1242020
Few-shot segmentation via cycle-consistent transformer
G Zhang, G Kang, Y Yang, Y Wei
Advances in Neural Information Processing Systems 34, 21984-21996, 2021
1172021
Domain consensus clustering for universal domain adaptation
G Li, G Kang, Y Zhu, Y Wei, Y Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1152021
Patchshuffle regularization
G Kang, X Dong, L Zheng, Y Yang
arXiv preprint arXiv:1707.07103, 2017
1082017
Attract or distract: Exploit the margin of open set
Q Feng, G Kang, H Fan, Y Yang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
692019
VAQF: fully automatic software-hardware co-design framework for low-bit vision transformer
M Sun, H Ma, G Kang, Y Jiang, T Chen, X Ma, Z Wang, Y Wang
arXiv preprint arXiv:2201.06618, 2022
552022
Argus: Efficient activity detection system for extended video analysis
W Liu, G Kang, PY Huang, X Chang, Y Qian, J Liang, L Gui, J Wen, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
402020
Annotation efficient cross-modal retrieval with adversarial attentive alignment
PY Huang, G Kang, W Liu, X Chang, AG Hauptmann
Proceedings of the 27th ACM International Conference on Multimedia, 1758-1767, 2019
192019
EraseReLU: a simple way to ease the training of deep convolution neural networks
X Dong, G Kang, K Zhan, Y Yang
arXiv preprint arXiv:1709.07634, 2017
172017
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