A novel texture-based OCT enface image to detect and monitor glaucoma

Robert N Weinreb , Linda M Zangwill , Christopher Bowd , Akram Belghith
Investigative Ophthalmology & Visual Science 57 ( 12)

1
2016
Diabetic retinopathy detection from image to classification using deep convolutional neural network

Ehsan Shahrian Varnousfaderani , Akram Belghith , Siamak Yousefi , Jameson Merkow
Investigative Ophthalmology & Visual Science 57 ( 12) 5961 -5961

2
2016
Discriminative clustering via generative feature mapping

Jiaya Jia , Zhuowen Tu , Xiong Li , Liwei Wang
national conference on artificial intelligence 1162 -1168

6
2012
Max-Margin Multiple-Instance Dictionary Learning

Xinggang Wang , Zhuowen Tu , Zhuowen Tu , Wenyu Liu
international conference on machine learning 846 -854

95
2013
Image Parsing: Unifying Segmentation, Detection, and Recognition

Alan L Yuille , Zhuowen Tu , Xiangrong Chen , Song-Chun Zhu
Department of Statistics, UCLA

863
2011
Fixed-Point Model For Structured Labeling

David Wipf , Jingdong Wang , Zhuowen Tu , Zhuowen Tu
international conference on machine learning 214 -221

34
2013
A FRAMEWORK FOR AUTOMATIC RECOGNITION OF SPATIAL FEATURES FROM MOBILE MAPPING IMAGERY

Zhuowen Tu , Rongxing Li
Photogrammetric Engineering and Remote Sensing 68 ( 3) 267 -276

4
2002
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks.

Zhuowen Tu , Shuai Tang , Patrick W. Gallagher
arXiv: Neural and Evolutionary Computing

5
2015
Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning ?

Boris Babenko , Piotr Dollár , Zhuowen Tu , Serge Belongie
Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition

80
2008
Learning to predict from crowdsourced data

James T. Kwok , Zhuowen Tu , Wei Bi , Liwei Wang
uncertainty in artificial intelligence 82 -91

38
2014
Harvesting Motion Patterns in Still Images from the Internet.

Zhuowen Tu , Yining Wang , Jiajun Wu , Zhulin Li
Cognitive Science 36 ( 36)

2014
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

Mani Srivastava , Zhuowen Tu , Zhiru Zhang , Jeng-Hau Lin
arXiv: Computer Vision and Pattern Recognition

33
2017
Holistically-Nested Edge Detection

Zhuowen Tu , Saining Xie
arXiv: Computer Vision and Pattern Recognition

3,233
2015
Dense Volume-to-Volume Vascular Boundary Detection

Jameson Merkow , Alison Marsden , David Kriegman , Zhuowen Tu
arXiv: Computer Vision and Pattern Recognition

5
2016
Aggregated Residual Transformations for Deep Neural Networks

Piotr Dollár , Zhuowen Tu , Kaiming He , Ross Girshick
arXiv: Computer Vision and Pattern Recognition

8,890
2016
Introspective Classification with Convolutional Nets

Zhuowen Tu , Long Jin , Justin Lazarow
neural information processing systems 30 823 -833

29
2017
Deeply-Supervised Nets

Zhengyou Zhang , Zhuowen Tu , Saining Xie , Patrick W. Gallagher
international conference on artificial intelligence and statistics 562 -570

2,349
2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree

Zhuowen Tu , Patrick W. Gallagher , Chen-Yu Lee
international conference on artificial intelligence and statistics 464 -472

224
2016