2008 |
34 | EE | Zhuowen Tu:
Auto-context and its application to high-level vision tasks.
CVPR 2008 |
33 | EE | Jason J. Corso,
Alan L. Yuille,
Zhuowen Tu:
Graph-shifts: Natural image labeling by dynamic hierarchical computing.
CVPR 2008 |
32 | EE | Jiayan Jiang,
Songfeng Zheng,
Arthur W. Toga,
Zhuowen Tu:
Learning based coarse-to-fine image registration.
CVPR 2008 |
31 | EE | Piotr Dollár,
Boris Babenko,
Serge J. Belongie,
Pietro Perona,
Zhuowen Tu:
Multiple Component Learning for Object Detection.
ECCV (2) 2008: 211-224 |
30 | EE | Xingwei Yang,
Xiang Bai,
Longin Jan Latecki,
Zhuowen Tu:
Improving Shape Retrieval by Learning Graph Transduction.
ECCV (4) 2008: 788-801 |
29 | EE | Jonathan H. Morra,
Zhuowen Tu,
Liana G. Apostolova,
Amity E. Green,
Christina Avedissian,
Sarah K. Madsen,
Neelroop Parikshak,
Xue Hua,
Arthur W. Toga,
Clifford R. Jack,
Norbert Schuff,
Michael Weiner,
Paul M. Thompson:
Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach.
ISBI 2008: 336-339 |
28 | EE | Jason J. Corso,
Zhuowen Tu,
Alan L. Yuille:
MRF Labeling with a Graph-Shifts Algorithm.
IWCIA 2008: 172-184 |
27 | EE | Jonathan H. Morra,
Zhuowen Tu,
Liana G. Apostolova,
Amity E. Green,
Arthur W. Toga,
Paul M. Thompson:
Automatic Subcortical Segmentation Using a Contextual Model.
MICCAI (1) 2008: 194-201 |
26 | EE | Zhuowen Tu,
Songfeng Zheng,
Alan L. Yuille:
Shape matching and registration by data-driven EM.
Computer Vision and Image Understanding 109(3): 290-304 (2008) |
25 | EE | Zhuowen Tu,
Katherine Narr,
Piotr Dollár,
Ivo D. Dinov,
Paul M. Thompson,
Arthur W. Toga:
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models.
IEEE Trans. Med. Imaging 27(4): 495-508 (2008) |
2007 |
24 | EE | Songfeng Zheng,
Zhuowen Tu,
Alan L. Yuille:
Detecting Object Boundaries Using Low-, Mid-, and High-level Information.
CVPR 2007 |
23 | EE | Piotr Dollár,
Zhuowen Tu,
Hai Tao,
Serge Belongie:
Feature Mining for Image Classification.
CVPR 2007 |
22 | EE | Zhuowen Tu:
Learning Generative Models via Discriminative Approaches.
CVPR 2007 |
21 | EE | Jason J. Corso,
Zhuowen Tu,
Alan L. Yuille,
Arthur W. Toga:
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm.
IPMI 2007: 183-197 |
20 | EE | Yonggang Shi,
Zhuowen Tu,
Allan L. Reiss,
Rebecca A. Dutton,
Agatha D. Lee,
Albert M. Galaburda,
Ivo D. Dinov,
Paul M. Thompson,
Arthur W. Toga:
Joint Sulci Detection Using Graphical Models and Boosted Priors.
IPMI 2007: 98-109 |
19 | EE | Zhuowen Tu,
Arthur W. Toga:
Towards Whole Brain Segmentation by a Hybrid Model.
MICCAI (2) 2007: 169-177 |
18 | EE | Zhuowen Tu,
Songfeng Zheng,
Alan L. Yuille,
Allan L. Reiss,
Rebecca A. Dutton,
Agatha D. Lee,
Albert M. Galaburda,
Ivo D. Dinov,
Paul M. Thompson,
Arthur W. Toga:
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.
IEEE Trans. Med. Imaging 26(4): 541-552 (2007) |
2006 |
17 | EE | Zhuowen Tu,
Xiang Sean Zhou,
Luca Bogoni,
Adrian Barbu,
Dorin Comaniciu:
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment.
CVPR (2) 2006: 1544-1551 |
16 | EE | Piotr Dollár,
Zhuowen Tu,
Serge Belongie:
Supervised Learning of Edges and Object Boundaries.
CVPR (2) 2006: 1964-1971 |
15 | EE | Zhuowen Tu,
Xiang Zhou,
Dorin Comaniciu,
Luca Bogoni:
A Learning Based Approach for 3D Segmentation and Colon Detagging.
ECCV (3) 2006: 436-448 |
14 | EE | Songfeng Zheng,
Zhuowen Tu,
Alan L. Yuille,
Allan L. Reiss,
Rebecca A. Dutton,
Agatha D. Lee,
Albert M. Galaburda,
Paul M. Thompson,
Ivo D. Dinov,
Arthur W. Toga:
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.
MICCAI (1) 2006: 695-703 |
13 | EE | Zhuowen Tu,
Xiangrong Chen,
Alan L. Yuille,
Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition.
Toward Category-Level Object Recognition 2006: 545-576 |
12 | EE | Zhuowen Tu,
Song Chun Zhu:
Parsing Images into Regions, Curves, and Curve Groups.
International Journal of Computer Vision 69(2): 223-249 (2006) |
2005 |
11 | EE | Zhuowen Tu:
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering.
ICCV 2005: 1589-1596 |
10 | EE | Zhuowen Tu:
An Integrated Framework for Image Segmentation and Perceptual Grouping.
ICCV 2005: 670-677 |
9 | EE | Zhuowen Tu,
Xiangrong Chen,
Alan L. Yuille,
Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition.
International Journal of Computer Vision 63(2): 113-140 (2005) |
2004 |
8 | EE | Zhuowen Tu,
Alan L. Yuille:
Shape Matching and Recognition - Using Generative Models and Informative Features.
ECCV (3) 2004: 195-209 |
7 | EE | Feng Han,
Zhuowen Tu,
Song Chun Zhu:
Range Image Segmentation by an Effective Jump-Diffusion Method.
IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1138-1153 (2004) |
2003 |
6 | EE | Zhuowen Tu,
Xiangrong Chen,
Alan L. Yuille,
Song Chun Zhu:
Image Parsing: Unifying Segmentation, Detection, and Recognition.
ICCV 2003: 18-25 |
2002 |
5 | EE | Zhuowen Tu,
Song Chun Zhu:
Parsing Images into Region and Curve Processes.
ECCV (3) 2002: 393-407 |
4 | EE | Feng Han,
Zhuowen Tu,
Song Chun Zhu:
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction.
ECCV (3) 2002: 502-516 |
3 | EE | Zhuowen Tu,
Song Chun Zhu:
Image Segmentation by Data-Driven Markov Chain Monte Carlo.
IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 657-673 (2002) |
2001 |
2 | | Zhuowen Tu,
Song Chun Zhu,
Heung-Yeung Shum:
Image Segmentation by Data Driven Markov Chain Monte Carlo.
ICCV 2001: 131-138 |
2000 |
1 | EE | Song Chun Zhu,
Rong Zhang,
Zhuowen Tu:
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo.
CVPR 2000: 1738-1745 |