Zhuowen Tu

发表

Efficient scale space auto-context for image segmentation and labeling

Jiayan Jiang, Zhuowen Tu, Z. Tu, 2009, CVPR.

Wasserstein Introspective Neural Networks

Zhuowen Tu, Kwonjoon Lee, Weijian Xu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013)

Zhuowen Tu, Georg Langs, Albert Montillo, 2013, MCV.

Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning

Zhuowen Tu, Antonio Criminisi, Ender Konukoglu, 2011, IPMI.

Deep FisherNet for Image Classification

Zhuowen Tu, Peng Tang, Wenyu Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Aggregated Residual Transformations for Deep Neural Networks

Zhuowen Tu, Kaiming He, Ross B. Girshick, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised object class discovery via saliency-guided multiple class learning

Zhuowen Tu, Yichen Wei, Jiajun Wu, 2012, CVPR.

Unsupervised object class discovery via saliency-guided multiple class learning

Zhuowen Tu, Jiajun Wu, Jun-Yan Zhu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Learning to Predict from Crowdsourced Data

Zhuowen Tu, James T. Kwok, Liwei Wang, 2014, UAI.

Harvesting Mid-level Visual Concepts from Large-Scale Internet Images

Zhuowen Tu, Jiajun Wu, Quannan Li, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Discriminative Clustering via Generative Feature Mapping

Zhuowen Tu, Liwei Wang, Jiaya Jia, 2012, AAAI.

Scalable $k$-NN graph construction pdf

Jing Wang, Zhuowen Tu, Shipeng Li, 2013, ArXiv.

Deeply Supervised Salient Object Detection with Short Connections

Zhuowen Tu, Ali Borji, Xiaowei Hu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discretizing stochastic tractography: A fast implementation

Zhuowen Tu, Paul Thompson, Juan Eugenio Iglesias, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Introspective Classification with Convolutional Nets

Zhuowen Tu, Long Jin, Justin Lazarow, 2017, NIPS.

Disagreement-Based Multi-system Tracking

Zhuowen Tu, Zhi-Hua Zhou, Yuan Jiang, 2012, ACCV Workshops.

Shape matching and registration by data-driven EM

Zhuowen Tu, Alan L. Yuille, Songfeng Zheng, 2008, Comput. Vis. Image Underst..

Object Recognition from AIMS Data Using Neural Networks

Zhuowen Tu, Fei Ma, Ron Li, 1998 .

Robust Estimation of Nonrigid Transformation for Point Set Registration

Zhuowen Tu, Alan L. Yuille, Ji Zhao, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Max-Margin Multiple-Instance Dictionary Learning

Zhuowen Tu, Wenyu Liu, Xiang Bai, 2013, ICML.

MRF Labeling with a Graph-Shifts Algorithm

Zhuowen Tu, Alan L. Yuille, Jason J. Corso, 2008, IWCIA.

Automatic Subcortical Segmentation Using a Contextual Model

Liana G. Apostolova, Paul M. Thompson, Arthur W. Toga, 2008, MICCAI.

Wavelet-Based Representation of Biological Shapes

Arthur W. Toga, Bin Dong, Yalin Wang, 2009, ISVC.

Local Binary Pattern Networks for Character Recognition

Rajesh Gupta, Zhuowen Tu, Yunfan Yang, 2018 .

Exemplar-based human action pose correction and tagging

Baining Guo, Zhuowen Tu, Xiang Bai, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

On the Connection of Deep Fusion to Ensembling pdf

Zhuowen Tu, Wenjun Zeng, Jingdong Wang, 2016, ArXiv.

Parsing Images into Regions, Curves, and Curve Groups

Zhuowen Tu, Song-Chun Zhu, Song-Chun Zhu, 2006, International Journal of Computer Vision.

Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations pdf

Zhuowen Tu, Yingnian Wu, Piotr Dollár, 2014, ArXiv.

Local Binary Pattern Networks

Zhuowen Tu, Rajesh K. Gupta, Yunfan Yang, 2018, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Fusing adaptive atlas and informative features for robust 3D brain image segmentation

Arthur W. Toga, Zhuowen Tu, Juan Eugenio Iglesias, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Learning Based Approach for 3D Segmentation and Colon Detagging

Zhuowen Tu, Dorin Comaniciu, Xiang Sean Zhou, 2006, ECCV.

Agreement-Based Semi-supervised Learning for Skull Stripping

Paul M. Thompson, Zhuowen Tu, Juan Eugenio Iglesias, 2010, MICCAI.

Deeply-Supervised Nets pdf

Zhuowen Tu, Zhengyou Zhang, Chen-Yu Lee, 2014, AISTATS.

Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods

Paul M. Thompson, Zhuowen Tu, Juan Eugenio Iglesias, 2011, IEEE Transactions on Medical Imaging.

Sparse Subspace Denoising for Image Manifolds

Bo Wang, Zhuowen Tu, Z. Tu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

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

Zhuowen Tu, Chen-Yu Lee, Patrick W. Gallagher, 2015, AISTATS.

Image Parsing: Segmentation, Detection, and Recognition

Zhuowen Tu, Alan L. Yuille, Song-Chun Zhu, 2003 .

Robust $L_{2}E$ Estimation of Transformation for Non-Rigid Registration

Zhuowen Tu, Alan L. Yuille, Weichao Qiu, 2015, IEEE Transactions on Signal Processing.

One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery

Zhuowen Tu, Wenyu Liu, Xiang Bai, 2012, ACCV.

Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm

Arthur W. Toga, Zhuowen Tu, Alan L. Yuille, 2007, IPMI.

An integrated framework for image segmentation and perceptual grouping

Zhuowen Tu, Z. Tu, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Training Deeper Convolutional Networks with Deep Supervision pdf

Zhuowen Tu, Svetlana Lazebnik, Chen-Yu Lee, 2015, ArXiv.

Learning Instance Occlusion for Panoptic Segmentation

Zhuowen Tu, Kwonjoon Lee, Justin Lazarow, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient scale space auto-context for image segmentation and labeling

Jiayan Jiang, Zhuowen Tu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Exemplar-Based Human Action Pose Correction

Baining Guo, Zhuowen Tu, Xiang Bai, 2014, IEEE Transactions on Cybernetics.

Introspective Generative Modeling: Decide Discriminatively pdf

Zhuowen Tu, Long Jin, Justin Lazarow, 2017, ArXiv.

Zhuowen Tu, Bo Wang, Michael Brudno, 2014, Nature Methods.

Detecting Texts of Arbitrary Orientations in 1 Natural Images

Zhuowen Tu, Yi Ma, Wenyu Liu, 2012 .

Shape band: A deformable object detection approach

Zhuowen Tu, Longin Jan Latecki, Xiang Bai, 2009, CVPR.

Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2009, MICCAI.

Regularized vector field learning with sparse approximation for mismatch removal

Zhuowen Tu, Xiang Bai, Ji Zhao, 2013, Pattern Recognit..

Learning Generative Models via Discriminative Approaches

Zhuowen Tu, Z. Tu, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Computerized Medical Imaging and Graphics a Two-layer Structure Prediction Framework for Microscopy Cell Detection

Zhuowen Tu, Yan Xu, Danny Ziyi Chen, 2022 .

Holistically-Nested Edge Detection

Zhuowen Tu, Saining Xie, 2015, ICCV.

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

Zhuowen Tu, Shuai Tang, Patrick W. Gallagher, 2015, ArXiv.

Joint Sulci Detection Using Graphical Models and Boosted Priors

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2007, IPMI.

Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2009, IEEE Transactions on Medical Imaging.

Improving Shape Retrieval by Learning Graph Transduction

Zhuowen Tu, Longin Jan Latecki, Xiang Bai, 2008, ECCV.

Pictorial multi-atlas segmentation of brain MRI

Zhuowen Tu, Juan Eugenio Iglesias, Cheng-Yi Liu, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Parsing Images into Region and Curve Processes

Zhuowen Tu, Song-Chun Zhu, Song-Chun Zhu, 2002, ECCV.

Robust Point Matching via Vector Field Consensus

Zhuowen Tu, Alan L. Yuille, Ji Zhao, 2014, IEEE Transactions on Image Processing.

Robust Subspace Discovery via Relaxed Rank Minimization

Zhuowen Tu, Wenyu Liu, Xiang Bai, 2014, Neural Computation.

Co-Transduction for Shape Retrieval

Bo Wang, Zhuowen Tu, Wenyu Liu, 2010, IEEE Transactions on Image Processing.

Learning based approaches with applications to vision tasks

Jiayan Jiang, Zhuowen Tu, 2011 .

A classification approach to coreference in discharge summaries: 2011 i2b2 challenge

Yue Wang, Zhuowen Tu, Jun'ichi Tsujii, 2012, J. Am. Medical Informatics Assoc..

Randomness and sparsity induced codebook learning with application to cancer image classification

Zhuowen Tu, Liwei Wang, Cong Yao, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Affinity learning via self-diffusion for image segmentation and clustering

Bo Wang, Zhuowen Tu, Z. Tu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Harvesting Motion Patterns in Still Images from the Internet

Zhuowen Tu, Jiajun Wu, Yining Wang, 2014, CogSci.

Learning a mixture of sparse distance metrics for classification and dimensionality reduction

Jiayan Jiang, Zhuowen Tu, Yi Hong, 2011, 2011 International Conference on Computer Vision.

Top-down Flow Transformer Networks pdf

Zhiwei Jia, Zhuowen Tu, Haoshen Hong, 2017, ArXiv.

Active skeleton for non-rigid object detection

Zhuowen Tu, Wenyu Liu, Longin Jan Latecki, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Detecting Object Boundaries Using Low-, Mid-, and High-level Information

Zhuowen Tu, Alan L. Yuille, Songfeng Zheng, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Integral Channel Features

Pietro Perona, Zhuowen Tu, Serge J. Belongie, 2009, BMVC.

A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction

Zhuowen Tu, Feng Han, Song-Chun Zhu, 2002, ECCV.

Co-transduction for Shape Retrieval

Bo Wang, Zhuowen Tu, Wenyu Liu, 2010, ECCV.

Deeply Supervised Salient Object Detection with Short Connections

Zhuowen Tu, Ali Borji, Xiaowei Hu, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation

Zhuowen Tu, Jiajun Wu, Siwei Luo, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Auto-context and its application to high-level vision tasks

Zhuowen Tu, Z. Tu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach

Norbert Schuff, Michael Weiner, Liana G. Apostolova, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Image Segmentation by Data-Driven Markov Chain Monte Carlo

Zhuowen Tu, Song-Chun Zhu, Song-Chun Zhu, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Unsupervised metric fusion by cross diffusion

Bo Wang, Jiayan Jiang, Zhuowen Tu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Reverse Image Segmentation: A High-Level Solution to a Low-Level Task

Zhuowen Tu, Jiajun Wu, Junyan Zhu, 2014, BMVC.

Machine Learning for Brain Image Segmentation

Arthur W. Toga, Zhuowen Tu, Paul M. Thompson, 2012 .

Scalable Neighborhood Graph Construction

Zhuowen Tu, Shipeng Li, Gang Zeng, 2011 .

Towards Whole Brain Segmentation by a Hybrid Model

Arthur W. Toga, Zhuowen Tu, 2007, MICCAI.

Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis

Zhuowen Tu, Jianwen Zhang, Yan Xu, 2012 .

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2006, MICCAI.

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering

Zhuowen Tu, Yan Xu, Jun-Yan Zhu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Introspective Neural Networks for Generative Modeling

Zhuowen Tu, Long Jin, Justin Lazarow, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Symmetry Constraint for Foreground Extraction

Dongdai Lin, Xiaochun Cao, Zhuowen Tu, 2014, IEEE Transactions on Cybernetics.

Scalable k-NN graph construction for visual descriptors

Jing Wang, Zhuowen Tu, Shipeng Li, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2007, IEEE Transactions on Medical Imaging.

Robust Skull Stripping of Clinical Glioblastoma Multiforme Data

Zhuowen Tu, Juan Eugenio Iglesias, William Speier, 2011, MICCAI.

Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation

Zhuowen Tu, Juan Eugenio Iglesias, Cheng-Yi Liu, 2013, Neuroinformatics.

Fast Approximate Stochastic Tractography

Paul M. Thompson, Zhuowen Tu, Juan Eugenio Iglesias, 2011, Neuroinformatics.

Unsupervised metric learning by Self-Smoothing Operator

Bo Wang, Jiayan Jiang, Zhuowen Tu, 2011, 2011 International Conference on Computer Vision.

Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree

Zhuowen Tu, Chen-Yu Lee, Patrick Gallagher, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis

Zhuowen Tu, Ivo D. Dinov, Juan Eugenio Iglesias, 2010, MICCAI.

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment

Zhuowen Tu, Dorin Comaniciu, Adrian Barbu, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Graph-shifts: Natural image labeling by dynamic hierarchical computing

Zhuowen Tu, Alan L. Yuille, Jason J. Corso, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Fusion deformable template with discriminative models for robust three-dimensional brain image segmentation

Zhuowen Tu, Cheng-Yi Liu, 2011 .

Range image segmentation by an effective jump-diffusion method

Zhuowen Tu, Feng Han, Song-Chun Zhu, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Integrating contour and skeleton for shape classification

Zhuowen Tu, Wenyu Liu, Xiang Bai, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Introspective Classifier Learning: Empower Generatively pdf

Zhuowen Tu, Long Jin, Justin Lazarow, 2017, ArXiv.

Deep FisherNet for Object Classification pdf

Zhuowen Tu, Wenyu Liu, Xiang Bai, 2016, ArXiv.

Rethinking Spatiotemporal Feature Learning For Video Understanding pdf

Chen Sun, Zhuowen Tu, Kevin Murphy, 2017, ArXiv.

Cluster-Based Co-Saliency Detection

Xiaochun Cao, Zhuowen Tu, Huazhu Fu, 2013, IEEE Transactions on Image Processing.

Convolutional Pseudo-Prior for Structured Labeling pdf

Zhuowen Tu, Saining Xie, Xun Huang, 2015, ArXiv.

Scale-Space SIFT flow

Zhuowen Tu, Xiang Bai, Alan L. Yuille, 2014, IEEE Winter Conference on Applications of Computer Vision.

Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification

Bo Wang, John K. Tsotsos, Zhuowen Tu, 2013, ICCV.

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, Alan L. Yuille, Song-Chun Zhu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

Chen Sun, Zhuowen Tu, Kevin Murphy, 2017, ECCV.

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment

Arthur W. Toga, Zhuowen Tu, Magda Tsolaki, 2011, NeuroImage.

Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity

Qionghai Dai, Zhuowen Tu, Yizhou Yu, 2014, ACCV.

Feature Mining for Image Classification

Zhuowen Tu, Hai Tao, Serge J. Belongie, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Whole-body anatomy localization via classification and regression forests

Zhuowen Tu, Antonio Criminisi, Georg Langs, 2013, Medical Image Anal..

Top-Down Learning for Structured Labeling with Convolutional Pseudoprior

Zhuowen Tu, Saining Xie, Xun Huang, 2015, ECCV.

Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images

Zhuowen Tu, Xin Zhang, Wenyu Liu, 2013, PloS one.

AUTOMATIC RECOGNITION OF CIVIL INFRASTRUCTURE OBJECTS IN MOBILE MAPPING IMAGERY USING A MARKOV RANDOM FIELD MODEL

Zhuowen Tu, Ron Li, Z. Tu, 2000 .

DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images pdf

Zhuowen Tu, Stefano Soatto, Andrea Vedaldi, 2017, ArXiv.

and the Alzheimer’s Disease Neuroimaging Initiative*

Michael Weiner, Liana G. Apostolova, Paul M. Thompson, 2007 .

Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2008, IEEE Transactions on Medical Imaging.

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

Zhuowen Tu, Xiang Bai, Z. Tu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, Alan L. Yuille, Song-Chun Zhu, 2005, International Journal of Computer Vision.

Fixed-Point Model For Structured Labeling

Zhuowen Tu, Jingdong Wang, David P. Wipf, 2013, ICML.

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation

Zhuowen Tu, Jianwen Zhang, Yan Xu, 2012, MICCAI.

Shape Matching and Recognition - Using Generative Models and Informative Features

Zhuowen Tu, Alan L. Yuille, A. Yuille, 2004, ECCV.

Classification of Alzheimer's Disease Using a Self-Smoothing Operator

Jiayan Jiang, Zhuowen Tu, Juan Eugenio Iglesias, 2011, MICCAI.

Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs

Zhuowen Tu, Rajesh K. Gupta, Vahideh Akhlaghi, 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering

Zhuowen Tu, Z. Tu, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Learning Context-Sensitive Shape Similarity by Graph Transduction

Zhuowen Tu, Wenyu Liu, Longin Jan Latecki, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Action Recognition with Actons

Zhuowen Tu, Jun Zhu, Wenjun Zhang, 2013, 2013 IEEE International Conference on Computer Vision.

3D Volumetric Modeling with Introspective Neural Networks

Zhuowen Tu, Wenlong Huang, Brian Lai, 2019, AAAI.

Supervised Learning of Edges and Object Boundaries

Zhuowen Tu, Serge J. Belongie, Piotr Dollár, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Object Recognition Using Junctions

Bo Wang, Zhuowen Tu, Wenyu Liu, 2010, ECCV.

Automatic Caudate Segmentation by Hybrid Generative/Discriminative Models

Arthur W. Toga, Zhuowen Tu, Ivo D. Dinov, 2007 .

Image segmentation by data driven Markov chain Monte Carlo

Harry Shum, Zhuowen Tu, Song-Chun Zhu, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation

Liana G. Apostolova, Paul M. Thompson, Arthur W. Toga, 2010, IEEE Transactions on Medical Imaging.

Direct mapping of hippocampal surfaces with intrinsic shape context

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2007, NeuroImage.

Object Detection Free Instance Segmentation With Labeling Transformations pdf

Zhuowen Tu, Long Jin, Zeyu Chen, 2016, ArXiv.

Randomness and sparsity induced codebook learning with application to cancer image classification

Zhuowen Tu, Liwei Wang, Cong Yao, 2012, CVPR Workshops.

HFS: Hierarchical Feature Selection for Efficient Image Segmentation

Shi-Min Hu, Zhuowen Tu, Yun Liu, 2016, ECCV.

Automatic Recognition and Location of Civil Infrastructure Objects Using Mobile Mapping Technology, Neural Network and Markov Chain Monte Carlo

Zhuowen Tu, Ron Li, Z. Tu, 2000 .

Sparse semi-supervised learning for perceptual grouping

Jiayan Jiang, Zhuowen Tu, Yi Hong, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Learning based coarse-to-fine image registration

Arthur W. Toga, Jiayan Jiang, Zhuowen Tu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Structural Edge Detection for Cardiovascular Modeling

Zhuowen Tu, David J. Kriegman, Jameson Merkow, 2015, MICCAI.

Multiple Component Learning for Object Detection

Pietro Perona, Zhuowen Tu, Boris Babenko, 2008, ECCV.

Deep Convolutional Neural Networks with Merge-and-Run Mappings

Yueting Zhuang, Zhuowen Tu, Xi Li, 2016, IJCAI.

Contrastive Neighborhood Alignment pdf

Zhuowen Tu, Stefano Soatto, Vijay Mahadevan, 2022, ArXiv.

Pose Recognition with Cascade Transformers

Zhuowen Tu, Xiang Zhang, Shijie Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Long Short-Term Transformer for Online Action Detection pdf

Zhuowen Tu, Yuanjun Xiong, Hao Chen, 2021, NeurIPS.

Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models pdf

Zhuowen Tu, Yifan Xu, Weijian Xu, 2021, ACL.

Line Segment Detection Using Transformers without Edges

Zhuowen Tu, Yifan Xu, Weijian Xu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization

Nicu Sebe, Zhuowen Tu, Serge J. Belongie, 2022, IEEE Trans. Pattern Anal. Mach. Intell..

Editorial: Introduction to the Special Section on CVPR2019 Best Papers

Zhuowen Tu, Derek Hoiem, Gang Hua, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Compatibility-aware Heterogeneous Visual Search

Zhuowen Tu, Stefano Soatto, Rahul Duggal, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Co-Scale Conv-Attentional Image Transformers pdf

Zhuowen Tu, Yifan Xu, Weijian Xu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Visual Composite Set Detection Using Part-and-Sum Transformers pdf

Zhuowen Tu, Stefano Soatto, Qi Dong, 2021, ArXiv.

Towards Panoptic 3D Parsing for Single Image in the Wild pdf

Zhuowen Tu, Subarna Tripathi, Yuan Gao, 2021, ArXiv.

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries

Zhuowen Tu, Stefano Soatto, Haofu Liao, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

ViTGAN: Training GANs with Vision Transformers pdf

Zhuowen Tu, Huiwen Chang, Ce Liu, 2021, ICLR.

Attentional Constellation Nets for Few-Shot Learning

Zhuowen Tu, Yifan Xu, Weijian Xu, 2021, ICLR.

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Subhransu Maji, Zhuowen Tu, Stefano Soatto, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Identifying Heritable Brain Phenotypes in an Extended Pedigree of Vervet Monkeys

Zhuowen Tu, Roger P Woods, Nelson B Freimer, 2009, The Journal of Neuroscience.

Learning Context-Sensitive Shape Similarity

Zhuowen Tu, Longin Jan Latecki, Xiang Bai, 2010 .

Automatic Subcortical Segmentation Using a Novel Contextual Model

Liana G. Apostolova, Paul M. Thompson, Arthur W. Toga, 2008 .