Justin Lazarow*, Kwonjoon Lee*, Kunyu Shi*, and Zhuowen Tu, "Learning Instance Occlusion for Panoptic Segmentation", CVPR 2020 (*equal contribution).

Wasserstein Introspective Neural Networks (WINN)

Kwonjoon Lee, Weijian Xu, Fan Fan, and Zhuowen Tu, "Wasserstein Introspective Neural Networks", CVPR, 2018.

Introspective Neural Networks (INN)

Long Jin, Justin Lazarow, and Zhuowen Tu, "Introspective Classification with Convolutional Nets", NeurIPS, 2017.
Justin Lazarow*, Long Jin*, and Zhuowen Tu, "Introspective Neural Networks for Generative Modeling", ICCV 2017.

Attentional ShapeContextNet

Saining Xie*, Sainan Liu*, Zeyu Chen, and Zhuowen Tu, "Attentional ShapeContextNet for Point Cloud Recognition",  CVPR, 2018 (*equal contribution).

Generalized Pooling

Chen-Yu Lee, Patrick Gallagher, and Zhuowen Tu, "Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree", AISTATS 2016.

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

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

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.


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 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.


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.