Yanbo Fan
Yanbo Fan
Tencent AI Lab
Adresse e-mail validée de ia.ac.cn - Page d'accueil
Titre
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Année
Learning with average top-k loss
Y Fan, S Lyu, Y Ying, B Hu
Advances in neural information processing systems, 497-505, 2017
332017
Tencent ml-images: A large-scale multi-label image database for visual representation learning
B Wu, W Chen, Y Fan, Y Zhang, J Hou, J Liu, T Zhang
IEEE Access 7, 172683-172693, 2019
272019
Self-paced learning: an implicit regularization perspective
Y Fan, R He, J Liang, B Hu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
232017
Compressing convolutional neural networks via factorized convolutional filters
T Li, B Wu, Y Yang, Y Fan, Y Zhang, W Liu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
92019
Exact adversarial attack to image captioning via structured output learning with latent variables
Y Xu, B Wu, F Shen, Y Fan, Y Zhang, HT Shen, W Liu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
82019
Robust localized multi-view subspace clustering
Y Fan, J Liang, R He, BG Hu, S Lyu
arXiv preprint arXiv:1705.07777, 2017
72017
Context-aware feature and label fusion for facial action unit intensity estimation with partially labeled data
Y Zhang, H Jiang, B Wu, Y Fan, Q Ji
Proceedings of the IEEE International Conference on Computer Vision, 733-742, 2019
32019
Global and local consistent multi-view subspace clustering
Y Fan, R He, BG Hu
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 564-568, 2015
22015
Average Top-k Aggregate Loss For Supervised Learning
S Lyu, Y Fan, Y Ying, BG Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
2020
Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations
Y Feng, B Wu, Y Fan, Z Li, S Xia
arXiv preprint arXiv:2006.08538, 2020
2020
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
C Ma, B Wu, S Xu, Y Fan, Y Zhang, X Zhang, Z Li
arXiv preprint arXiv:2005.05552, 2020
2020
Toward Adversarial Robustness via Semi-supervised Robust Training
Y Li, B Wu, Y Feng, Y Fan, Y Jiang, Z Li, S Xia
arXiv preprint arXiv:2003.06974, 2020
2020
Controllable Descendant Face Synthesis
Y Zhang, L Li, Z Liu, B Wu, Y Fan, Z Li
arXiv preprint arXiv:2002.11376, 2020
2020
Groupwise Ranking Loss for Multi-Label Learning
Y Fan, B Wu, R He, BG Hu, Y Zhang, S Lyu
IEEE Access 8, 21717-21727, 2020
2020
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition
Y Fan, S Weng, Y Zhang, B Shi, Y Zhang
IEEE Access 8, 15280-15290, 2020
2020
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network.
Y Wei, W Li, Y Fan, L Xu, MC Chang, S Lyu
AAAI, 12329-12337, 2020
2020
Semi-Supervised Deep Neural Network for Joint Intensity Estimation of Multiple Facial Action Units
Y Zhang, Y Fan, W Dong, BG Hu, Q Ji
IEEE Access 7, 150743-150756, 2019
2019
Supplementary Materials for Self-Paced Learning: An Implicit Regularization Perspective
Y Fan, R He, J Liang, B Hu
2017
Supplementary Material for “Context-aware Feature and Label Fusion for Facial Action Unit Intensity Estimation with Partially Labeled Data”
Y Zhang, H Jiang, B Wu, Y Fan, Q Ji
Supplementary Material for: Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
Y Xu, B Wu, F Shen, Y Fan, Y Zhang, HT Shen, W Liu
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