Journals
- Songfeng Zheng, Alan Yuille, and Zhuowen
Tu, "Detecting Object Boundaries Using Low-, Mid-, and
High-Level Information", submitted to CVIU (pdf).
- Juan Eugenio Iglesias, Paul Thompson, and Zhuowen Tu, "Modeling
Diffusion-weighted MRI as a Spatially-variant Gaussian Mixture Model",
submit to Trans. on Medical Imaging.
- Juan Eugenio Iglesias, Paul Thompson, and Zhuowen Tu, "Fast Approximate
Stochastic Tractograph", submit to NeuroImage.
- Zhuowen Tu and Xiang Bai,
"Auto-context and Its Application to High-level Vision Tasks and 3D
Brain
Image Segmentation", IEEE Trans. on
Pattern Analysis and Machine Intelligence, 2009 (in press). (pdf)
- Jonathan H. Morra, Zhuowen Tu,
Liana G. Apostolova, Amity Green, Arthur W. Toga, and Paul M. Thompson,
"Comparison of AdaBoost and Support Vector Machines for Detecting
Alzheimer's Disease
through Automated Hippocampal Segmentation, IEEE Trans. on Medical
Imaging, 2009 (in press).
- Xiang Bai, Xingwei Yang, Longin Jan
Latecki, Wenyu Liu, and Zhuowen Tu, "Learning Context
Sensitive Shape Similarity by Graph Transduction", IEEE Trans. on
Pattern Analysis and Machine Intelligence, 2009. (in press). (pdf)
- S. Fears, W. Melega, S. K. Service, C. Lee,
K. Chen, Z. Tu, M. J. Jorgensen, L. A. Fairbanks, N.
Freimer, R. P. Woods, "Identifying Heritable Brain Phenotypes in an
Extended Pedigree of Vervet Monkeys”, Journal of Neuroscience, vol. 29,
no. 9, pp. 2867-2875, 2009.
- Y. Shi, Z. Tu, A. L.
Reiss, R. Dutton, A. Lee, A.M. Galaburda, I. Dinov, P. Thompson, A.
Toga, "Joint Sulcal Detection on Cortical Surfaces with Graphical
Models and Boosted Priors", IEEE Trans. on Medical Imaging, vol. 28,
no. 3,
pp. 361-373, 2009. (pdf)
- J. H. Morra, Z. Tu, L. G.
Apostolova, A. E. Greena, C. Avedissiana, S. K. Madsen, N. Parikshak,
X. Hua, A. W. Toga, C. R. JackJrc, M. W. Weiner, P. M. Thompson,
"Validation of a Fully Automated 3D Hippocampal Segmentation Method
Using Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and
Elderly Controls", NeuroImge, Oct. 15; (43(1), pp. 59-68, 2008.
- Zhuowen Tu, Katherin Narr,
Piotr Dollar, Iov Dinov, Paul Thompson, and Arthur Toga, "Brain
Anatomical Structure Segmentation by Hybrid Discriminative/Generative
Models", IEEE Trans. on Medical Imaging, vol. 27, no. 4, pp. 495-508,
April, 2008. (pdf)
- Zhuowen Tu, Songfeng
Zheng, and Alan Yuille, "Shape Matching and Registration by Data-driven
EM", Journal of Computer Vision and Image Understanding, vol. 109, pp.
290-304, 2008. (pdf)
- Y. Shi, P. M. Thompson, G. I. De Zubicaray,
S. E. Rose, Z. Tu, I. Dinov, and A. Toga, "Direct
Mapping of Hippocampal surfaces with Intrinsic Shape Context",
Neuroimage, vol. 37, no. 3, pp. 792-807, Sep., 2007.
- Z. Tu, S. Zheng, , A.
Yuille, A. Reiss, R. Dutton, A.Lee, A.Galaburda, I. Dinov, P. Thompson,
A. Toga, "Automated Extraction of the Cortical Sulci Based on a
Supervised Learning Approach", IEEE Trans. on Medical Imaging, vol. 26,
no. 4, April, pp. 541-552, 2007. (pdf)
- Zhuowen Tu and Song-Chun
Zhu, "Parsing Images into Regions, Curves, and Curve Groups",
International Journal of Computer Vision, vol. 69, no. 2, pp. 223-249,
Aug., 2006. (pdf)
- Zhuowen Tu, Xiangrong
Chen, Alan Yuille, and Song-Chun Zhu, "Image Parsing: Unifying
Segmentation, Detection, and Object Recognition", International Journal
of Computer Vision, vol. 63, no. 2, pp. 113-140, July, 2005. (pdf)
- Feng Han, Zhuowen Tu, and
Song-Chun Zhu, "Range Image Segmentation by an Efficient Jump-Diffusion
Method", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.
26, no. 9, pp. 1138-1153, Sept. 2004. (pdf)
- Zhuowen Tu and Song-Chun
Zhu, "Image Segmentation by Data-Driven Markov Chain Monte Carlo", IEEE
Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5,
pp. 657-673,May, 2002. (pdf)
- Zhuowen Tu and Ronxing Li,
"A Framework for Automatic Recognition of Spatial Features from Mobile
Mapping Imagery", Journal of Photogrammetric Engineering and Remote
Sensing, Vol. 68, No. 3, March, 2002.
Major
Conferences and quality workshops
- Xiang Bai, Xinggang
Wang, Wenyu
Liu, Longin Jan Latecki, and Zhuowen
Tu, "Active Skeleton for Non-rigid Object Detection", ICCV 2009 (pdf).
- Jiayan Jiang and Zhuowen Tu,
"Efficient Scale Space Auto-context for Image Segmentation and
Labeling", CVPR 2009 (pdf).
- Xiang Bai, Quannan Li, Longin Jan Latecki,
Wenyu Liu, and Zhuowen Tu, "Shape Band: A Deformable
Object Detection Approach", CVPR 2009(pdf).
- Piotr Dollár, Zhuowen
Tu, Pietro Perona, and Serge
Belongie,
"Integral Channel Features", Proc.
of British Machine Vision Conference (BMVC), 2009
(pdf).
- Jonathan Morra, Zhuowen Tu, Arthur Toga, and Paul
Thompson, "Lossless Online Ensemble Learning (LOEL) and its Application
to Subcortical Segmentation", MICCAI 2009.
- Juan Eugenio Iglesias, Paul Thompson, and Zhuowen Tu, "A spatially variant mixture model for diffusion
weighted MRI: application to image denoising", MICCAI, workshop of Probabilistic Models for Medical
Image Analysis, 2009. (pdf).
- Xiang Bai, Wenyu Liu, and Zhuowen Tu, "Integrating Contour and
Skeleton for Shape Classification", workshop on Non-Rigid Shape
Analysis and Deformable Image Alignment, ICCV 2009. (pdf)
- Zhuowen Tu, "Auto-context
and Its Application to High-level Vision Tasks", CVPR, 2008 (pdf).
- Jiayan Jiang, Songfeng Zheng, Arthur Toga,
and Zhuowen Tu, "Learning Based Coarse-to-fine Image
Registration", CVPR 2008 (pdf).
- Jason Corso, Alan Yuille, and Zhuowen
Tu, "Graph-Shifts: Natural Images Labeling by Dynamic
Hierarchical Computing", CVPR 2008 (pdf).
- Xingwei Yang, Xiang Bai, Longin Jan
Latecki, and Zhuowen Tu, "Improving Shape Retrieval
by Learning Graph Transduction", ECCV 2008 (pdf).
- Piotr Dollár, Boris Babenko, Serge
Belongie, Pietro Perona, and Zhuowen Tu, "Multiple
Component Learning for Object Detection", ECCV 2008 (pdf).
- Jonathan Morra, Zhuowen Tu,
Liana Apostolova, Amity Geen, and Paul Thompson, "Automatic Subcortical
Segmentation Using a Novel Contextual Model", MICCAI, 2008.
- Boris Babenko, Piotr
Dollár, Zhuowen Tu, and Serge Belongie,
"Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose
Learning", RealFaces, Marseille, France, 2008. (pdf)
- Zhuowen Tu and Arthur
Toga, "Towards Whole Brain Segmentation by a Hybrid Model", MICCAI,
October, 2007 (pdf).
- Zhuowen Tu, "Learning
Generative Models via Discriminative Approaches", IEEE Computer Vision
and Pattern Recognition (CVPR), June, 2007. (pdf)
- Songfeng Zheng, Zhuowen Tu,
and Alan Yuille, "Detecting Object Boundaries Using Low-, Mid-, and
High-Level Information", IEEE Computer Vision and Pattern Recognition
(CVPR), June, 2007. (pdf)
- Piotr Dollár, Zhuowen Tu,
Hai Tao and Serge Belongie, "Feature Mining for Image Classification",
IEEE Computer Vision and Pattern Recognition (CVPR), June, 2007. (pdf)
- Jason Corso, Zhuowen Tu,
Alan Yuille, and Arthur Toga, "Likelihood Shift Graphs for Efficient
Energy Minimization", Information Processing in Medical Imaging (IPMI),
June, 2007. (pdf)
- Y. Shi, Z. Tu, A. Reiss,
R. Dutton, A. D. Lee, A. Galaburda, I. Dinov, P. M. Thompson and A. W.
Toga, "Joint Sulci Detection Using Graphical Models and Boosted
Priors", Information Processing in Medical Imaging (IPMI), June, 2007. (pdf)
- Songfeng Zheng, Z. Tu, A.
Yuille, A. Reiss, R. Dutton, A.Lee, A.Galaburda, I. Dinov, P. Thompson,
A. Toga, "A Learning-Based Algorithm for Automated Extraction of the
Cortical Sulci", (MICCAI), 2006. (pdf)
- Zhuowen Tu, Xiang Sean
Zhou, Adrian Barbu, Luca Bogoni, and Dorin Comaniciu, "Probabilistic 3D
Polyp Detection in CT Images: The Role of Sample Alignment", IEEE
Computer Vision and Pattern Recognition (CVPR), June, 2006. (pdf)
- Piotr Dollár, Zhuowen Tu,
and Serge Belongie, "Supervised Learning of Edges and Object
Boundaries", IEEE Computer Vision and Pattern Recognition (CVPR), June,
2006. (pdf)
- Zhuowen Tu, Xiang Sean
Zhou, Dorin Comaniciu, and Luca Bogoni, "A Learning Based Approach for
3D Segmentation and Colon Detagging", 9th European Conf. on Computer
Vision (ECCV), May 2006. (pdf)
- Zhuowen Tu, "An Integrated
Frmework for Image Segmentation and Perceptual Grouping", 10th IEEE
International Conference on Computer Vision (ICCV), Oct. 2005 (pdf).
- Zhuowen Tu, "Probabilistic
Boosting-Tree: Learning Discriminative Models for Classification,
Recognition, and Clustering", 10th IEEE International Conf. on Computer
Vision (ICCV), Oct. 2005 (pdf).
- Zhuowen Tu, and Alan
Yuille "Shape Matching and Recognition--Using Generative Models and
Informative Features", 8th European Conf. on Computer Vision (ECCV),
May 2004 (pdf).
- Zhuowen Tu, Xiangrong
Chen, Alan Yuille, and Song-Chun Zhu, "Image Parsing: Segmentation,
Detection, and Object Recognition", 9th IEEE International Conf. on
Computer Vision (ICCV), Oct. 2003 (pdf).
- Zhuowen Tu and Song-Chun
Zhu, "Parsing Images into Region and Curve Processes", 7th European
Conf. on Computer Vision (ECCV), May, 2002. (pdf)
- Feng Han, Zhuowen Tu, and
Song-Chun Zhu, "A Stochastic Algorithm for Parsing and reconstructing
3D Scenes", 7th European Conf. on Computer Vision (ECCV), May, 2002. (pdf)
- Zhuowen Tu, Song-Chun Zhu,
and Harry Shum, "Image Segmentation by Data Driven Markov Chain Monte
Carlo", 8th IEEE International Conf. on Computer Vision (ICCV), July
2001. (pdf)
- Song-Chun Zhu, Rong Zhang, and Zhuowen
Tu, "Integrating Top-down/Bottom-up for Object Recognition by
Data Driven Markov Chain Monte Carlo", IEEE Computer Vision and Pattern
Recognition (CVPR), July 2000. (pdf)