Yang Lu
Yang Lu
Zweryfikowany adres z ucla.edu - Strona główna
Cytowane przez
Cytowane przez
A theory of generative convnet
J Xie, Y Lu, SC Zhu, Y Wu
International Conference on Machine Learning, 2635-2644, 2016
Online object tracking, learning and parsing with and-or graphs
Y Lu, T Wu, S Chun Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Alternating Back-Propagation for Generator Network.
T Han, Y Lu, SC Zhu, YN Wu
AAAI, 2017, 1976-1984, 2017
Cooperative training of descriptor and generator networks
J Xie, Y Lu, SC Zhu, YN Wu
AAAI, 2018, 2018
Learning frame models using cnn filters
Y Lu, SC Zhu, YN Wu
AAAI, 2016, 2015
Generative modeling of convolutional neural networks
J Dai, Y Lu, YN Wu
arXiv preprint arXiv:1412.6296, 2014
Cooperative learning of energy-based model and latent variable model via mcmc teaching
J Xie, Y Lu, R Gao, YN Wu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Inducing wavelets into random fields via generative boosting
J Xie, Y Lu, SC Zhu, YN Wu
Applied and Computational Harmonic Analysis 41 (1), 4-25, 2016
Reconfigurable templates for robust vehicle detection and classification
Y Lv, B Yao, Y Wang, SC Zhu
2012 IEEE Workshop on the Applications of Computer Vision (WACV), 321-328, 2012
Sparse and deep generalizations of the frame model
YN Wu, J Xie, Y Lu, SC Zhu
Annals of Mathematical Sciences and Applications 3 (1), 211-254, 2018
Learning generator networks for dynamic patterns
T Han, Y Lu, J Wu, X Xing, YN Wu
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 809-818, 2019
Exploring generative perspective of convolutional neural networks by learning random field models
Y Lu, R Gao, SC Zhu, YN Wu
Statistics and Its Interface 11 (3), 515-529, 2018
Learning multi-grid generative convnets by minimal contrastive divergence
R Gao, Y Lu, J Zhou, SC Zhu, YN Wu
arXiv preprint arXiv:1709.08868, 2017
Learning generative convnet with continuous latent factors by alternating back-propagation
T Han, Y Lu, SC Zhu, YN Wu
CoRR, abs/1606.08571 4, 2016
ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
C Wang, L Tang, Y Lu, S Bian, H Fujita, D Zhang, Z Zhang, Y Wu
Companion Proceedings of The 2019 World Wide Web Conference, 411-414, 2019
Career Objective
M Kaur
Symposium on Substance Abuse & De-addiction by Eternal University, 2015
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