Weiyang Liu
Weiyang Liu
Verified email at gatech.edu - Homepage
TitleCited byYear
SphereFace: Deep Hypersphere Embedding for Face Recognition
W Liu, Y Wen, Z Yu, M Li, B Raj, L Song
CVPR 2017: IEEE Conference on Computer Vision and Pattern Recognition, 2017
3872017
Large-Margin Softmax Loss for Convolutional Neural Networks
W Liu, Y Wen, Z Yu, M Yang
ICML 2016: International Conference on Machine Learning, 2016
2682016
Additive Margin Softmax for Face Verification
F Wang, W Liu, H Liu, J Cheng
ICLR 2018: International Conference on Learning Representations Workshop, 2018
1072018
Iterative Machine Teaching
W Liu, B Dai, A Humayun, C Tay, Y Chen, LB Smith, JM Rehg, L Song
ICML 2017: International Conference on Machine Learning, 2017
352017
Deep Hyperspherical Learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
NIPS 2017: Advances in Neural Information Processing Systems, 2017
332017
Iterative Learning with Open-set Noisy Labels
Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia
CVPR 2018: IEEE Conference on Computer Vision and Pattern Recognition, 2018
272018
KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization
W Liu, Z Yu, L Lu, Y Wen, H Li, Y Zou
Pattern Recognition 48 (10), 3076-3092, 2015
242015
Structured occlusion coding for robust face recognition
Y Wen, W Liu, M Yang, Y Fu, Y Xiang, R Hu
Neurocomputing 178, 11-24, 2016
222016
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification.
M Yang, W Liu, W Luo, L Shen
AAAI 2016: AAAI Conference on Artificial Intelligence, 2016
182016
Joint regularized nearest points for image set based face recognition
M Yang, W Liu, L Shen
FG 2015: IEEE International Conference on Automatic Face and Gesture Recognition, 2015
182015
A novel kernel collaborative representation approach for image classification
W Liu, L Lu, H Li, W Wang, Y Zou
ICIP 2014: IEEE International Conference on Image Processing, 2014
142014
Learning towards Minimum Hyperspherical Energy
W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song
NIPS 2018: Advances in Neural Information Processing Systems, 2018
122018
Generalized Transitive Distance with Minimum Spanning Random Forest.
Z Yu, W Liu, W Liu, X Peng, Z Hui, BVKV Kumar
IJCAI 2015: International Joint Conference on Artificial Intelligence, 2015
122015
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD
W Liu, Z Yu, M Yang, L Lu, Y Zou
ICME 2015: IEEE International Conference on Multimedia and Expo, 1-6, 2015
102015
Decoupled Networks
W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
CVPR 2018: IEEE Conference on Computer Vision and Pattern Recognition, 2018
92018
Simultaneous Edge Alignment and Learning
Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Kumar, J Kautz
ECCV 2018: European Conference on Computer Vision, 2018
82018
Jointly learning non-negative projection and dictionary with discriminative graph constraints for classification
W Liu, Z Yu, Y Wen, R Lin, M Yang
BMVC 2016: British Machine Vision Conference, 2016
82016
Towards Black-box Iterative Machine Teaching
W Liu, B Dai, X Li, Z Liu, JM Rehg, L Song
ICML 2018: International Conference on Machine Learning, 2018
62018
Multi-kernel collaborative representation for image classification
W Liu, Z Yu, Y Wen, M Yang, Y Zou
ICIP 2015: IEEE International Conference on Image Processing, 2015
62015
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Y Wen, MA Ismail, W Liu, B Raj, R Singh
ICLR 2019: International Conference on Learning Representations, 2019
42019
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Articles 1–20