Guoliang Kang
Guoliang Kang
Verified email at - Homepage
Cited by
Cited by
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
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
Soft filter pruning for accelerating deep convolutional neural networks
Y He, G Kang, X Dong, Y Fu, Y Yang
IJCAI 2018, 2018
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
Contrastive adaptation network for single-and multi-source domain adaptation
G Kang, L Jiang, Y Wei, Y Yang, AG Hauptmann
IEEE transactions on pattern analysis and machine intelligence, 2020
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
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
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
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
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
Patchshuffle regularization
G Kang, X Dong, L Zheng, Y Yang
arXiv preprint arXiv:1707.07103, 2017
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
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
MMVG-INF-Etrol@ TRECVID 2019: Activities in Extended Video.
X Chang, W Liu, PY Huang, C Li, F Zhu, M Han, M Li, M Ma, S Hu, G Kang, ...
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
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
Training-free monocular 3d event detection system for traffic surveillance
L Yu, P Chen, W Liu, G Kang, AG Hauptmann
2019 IEEE International Conference on Big Data (Big Data), 3838-3843, 2019
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
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
Adaptive feature aggregation for video object detection
Y Qian, L Yu, W Liu, G Kang, AG Hauptmann
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
The system can't perform the operation now. Try again later.
Articles 1–20