Hollistically-Nested Edge Detection

Saining Xie and Zhuowen Tu, "Holistically-Nested Edge Detection", arXiv:1504.06375, 2015. (testing/trained code and pre-trained models).


Deeply-Supervised Nets

Chen-Yu Lee*, Saining Xie*, Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu, "Deeply-Supervised Nets", AISTATS, 2015. (*equal contribution) (pdf)
channel features
Integral Channel Features (code written and maintained by Piotr Dollar)

Piotr Dollár, Zhuowen Tu, Pietro Perona, and Serge Belongie,
Integral Channel Features
British Machine Vision Conference (BMVC), 2009

brain parser
Brain Parser

Cheng-Yi Liu, Juan Eugenio Iglesias, and Zhuowen Tu
BrainParser: Integrated Deformable Templates and Discriminative Models for Robust 3D Brain MRI Segmentation
Neuroinformatics, July, 2013.

skull
Robust Skull Stripping

Juan Eugenio Iglesias, Chen-Yi Liu, Paul M. Thompson, and Zhuowen Tu
Robust Brain Extraction Across Datasets and Comparison with Publicly Available Methods
IEEE Trans. on Medical Imaging, vol. 30, no. 9, pp. 1617-34, Sept., 2011.

DDMCMC Image Segmention


Zhuowen Tu and Song-Chun Zhu
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, May, 2002
------------------



Image Segmentation by Generalized Swendsen-Wang Cuts



Zhuowen Tu
An Integrated Frmework for Image Segmentation and Perceptual Grouping 10th IEEE International Conference on Computer Vision (ICCV), Oct. 2005
------------------




BEL Edge Detection Package



Piotr Dollár, Zhuowen Tu, and Serge Belongie
Supervised Learning of Edges and Object Boundaries
IEEE Computer Vision and Pattern Recognition (CVPR), June, 2006.
------------------




Active Skeleton Demo Code (matlab)


Xiang Bai, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, and Zhuowen Tu
Active Skeleton for Non-rigid Object Detection
ICCV 2009.
------------------









The Auto-Context and Fixed-Point Model (matlab)


Quannan Li, Jingdong Wang, David Wipf, and Zhuowen Tu
Fixed-Point Model for Structured Labeling
International Conference on Machine Learning (ICML), 2013.

Zhuowen Tu
Auto-context and Its application to High-level Vision Tasks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
--------------------







The Self-Smoothing Operator (matlab)

Bo Wang and Zhuowen Tu
Affinity Learning via Self-diffusion for Image Segmentation and Clustering
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

Jiayan Jiang, Bo Wang, and Zhuowen Tu
Unsupervised Metric Learning by Self-Smoothing Operator
IEEE International Conference on Computer Vision (ICCV), 2011
-------------------






The Dataset for the CVPR12 text detection paper

Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, and Zhuowen Tu
Detecting Texts of Arbitrary Orientations in Natural Images
CVPR 2012.
--------------------









Randomness and Sparsity Induced Codebook Learning

Quannan Li, Cong Yao, Liwei Wang, and Zhuowen Tu
Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification
Workshop of Medical Computer Vision at CVPR 2012.
---------------------







Visual Concepts


Quannan Li, Jiajun Wu, and Zhuowen Tu
Harvesting Mid-level Visual Concepts from Large-scale Internet Images
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
----------------------

scale-space SIFT flow

Scale-Space Sift Flow

Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, and Zhuowen Tu, "Scale-Space Sift Flow", Proc. of WACV, 2014.
mmdl


Max-Margin Multiple Instance Dictionary Learning


Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, and Zhuowen Tu
Max-Margin Multiple Instance Dictionary Learning
International Conference on Machine Learning (ICML), Atlanta, June, 2013.