Ying Nian Wu
Ying Nian Wu
UCLA Department of Statistics
Verified email at stat.ucla.edu - Homepage
Cited by
Cited by
A high-resolution map of active promoters in the human genome
TH Kim, LO Barrera, M Zheng, C Qu, MA Singer, TA Richmond, Y Wu, ...
Nature 436 (7052), 876-880, 2005
Dynamic textures
G Doretto, A Chiuso, YN Wu, S Soatto
International Journal of Computer Vision 51 (2), 91-109, 2003
Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling
SC Zhu, Y Wu, D Mumford
International Journal of Computer Vision 27 (2), 107-126, 1998
rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data
S Shen, JW Park, Z Lu, L Lin, MD Henry, YN Wu, Q Zhou, Y Xing
Proceedings of the National Academy of Sciences 111 (51), E5593-E5601, 2014
Minimax entropy principle and its application to texture modeling
SC Zhu, YN Wu, D Mumford
Neural computation 9 (8), 1627-1660, 1997
Parameter expansion to accelerate EM: the PX-EM algorithm
C Liu, DB Rubin, YN Wu
Biometrika 85 (4), 755-770, 1998
Interpretable convolutional neural networks
Q Zhang, YN Wu, SC Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Parameter expansion for data augmentation
JS Liu, YN Wu
Journal of the American Statistical Association 94 (448), 1264-1274, 1999
Dynamic texture recognition
P Saisan, G Doretto, YN Wu, S Soatto
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001
Dynamic textures
S Soatto, G Doretto, YN Wu
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001
What are textons?
SC Zhu, CE Guo, Y Wang, Z Xu
International Journal of Computer Vision 62 (1), 121-143, 2005
Efficient algorithms for robust estimation in linear mixed-effects models using the multivariate t distribution
JC Pinheiro, C Liu, YN Wu
Journal of Computational and Graphical Statistics 10 (2), 249-276, 2001
Learning active basis model for object detection and recognition
YN Wu, Z Si, H Gong, SC Zhu
International journal of computer vision 90 (2), 198-235, 2010
Exploring texture ensembles by efficient Markov chain Monte Carlo-Toward a" trichromacy" theory of texture
SC Zhu, XW Liu, YN Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (6), 554-569, 2000
Interpreting cnns via decision trees
Q Zhang, Y Yang, H Ma, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Multi-agent tensor fusion for contextual trajectory prediction
T Zhao, Y Xu, M Monfort, W Choi, C Baker, Y Zhao, Y Wang, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
A theory of generative convnet
J Xie, Y Lu, SC Zhu, Y Wu
International Conference on Machine Learning, 2635-2644, 2016
Towards a mathematical theory of primal sketch and sketchability
C Guo, SC Zhu, YN Wu
Proceedings Ninth IEEE International Conference on Computer Vision, 1228-1235, 2003
Primal sketch: Integrating structure and texture
C Guo, SC Zhu, YN Wu
Computer Vision and Image Understanding 106 (1), 5-19, 2007
Interpreting cnn knowledge via an explanatory graph
Q Zhang, R Cao, F Shi, YN Wu, SC Zhu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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