Zhuowen Tu

Orcid: 0000-0002-1900-2124

Affiliations:
  • University of California, San Diego, USA
  • University of California, Los Angeles, USA (former)


According to our database1, Zhuowen Tu authored at least 209 papers between 2000 and 2024.

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Bibliography

2024
Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Goldfish: Monolingual Language Models for 350 Languages.
CoRR, 2024

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model.
CoRR, 2024

Patched Denoising Diffusion Models For High-Resolution Image Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Dolfin: Diffusion Layout Transformers Without Autoencoder.
Proceedings of the Computer Vision - ECCV 2024, 2024

Open-World Dynamic Prompt and Continual Visual Representation Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Bayesian Diffusion Models for 3D Shape Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OmniControlNet: Dual-stage Integration for Conditional Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TokenCompose: Text-to-Image Diffusion with Token-Level Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Non-autoregressive Sequence-to-Sequence Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On the Scalability of Diffusion-based Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Vision-Language Pre-Training with Rich Supervisions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Restoration by Generation with Constrained Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AffordanceLLM: Grounding Affordance from Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TokenCompose: Grounding Diffusion with Token-level Supervision.
CoRR, 2023

Dolfin: Diffusion Layout Transformers without Autoencoder.
CoRR, 2023

SkeleTR: Towrads Skeleton-based Action Recognition in the Wild.
CoRR, 2023

Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability.
CoRR, 2023

Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts.
CoRR, 2023

Open-Vocabulary Universal Image Segmentation with MaskCLIP.
Proceedings of the International Conference on Machine Learning, 2023

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Object-Centric Multiple Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MasQCLIP for Open-Vocabulary Universal Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DocTr: Document Transformer for Structured Information Extraction in Documents.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SkeleTR: Towards Skeleton-based Action Recognition in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Guided Recommendation for Model Fine-Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Point Cloud Recognition with Position-to-Structure Attention Transformers.
CoRR, 2022

Open-Vocabulary Panoptic Segmentation with MaskCLIP.
CoRR, 2022

Contrastive Neighborhood Alignment.
CoRR, 2022

An In-depth Study of Stochastic Backpropagation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-supervised Vision Transformers at Scale.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ViTGAN: Training GANs with Vision Transformers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The Geometry of Multilingual Language Model Representations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Text Spotting Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Instance Segmentation with Mask-supervised Polygonal Boundary Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MeMOT: Multi-Object Tracking with Memory.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Editorial: Introduction to the Special Section on CVPR2019 Best Papers.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Towards Panoptic 3D Parsing for Single Image in the Wild.
CoRR, 2021

Visual Composite Set Detection Using Part-and-Sum Transformers.
CoRR, 2021

Long Short-Term Transformer for Online Action Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Attentional Constellation Nets for Few-Shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Co-Scale Conv-Attentional Image Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Line Segment Detection Using Transformers Without Edges.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Contradistinctive Generative Autoencoder.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Compatibility-Aware Heterogeneous Visual Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Pose Recognition With Cascade Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations.
IEEE Des. Test, 2020

Local Binary Pattern Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

One-Pixel Signature: Characterizing CNN Models for Backdoor Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Recognizing Objects From Any View With Object and Viewer-Centered Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Instance Occlusion for Panoptic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Guided Variational Autoencoder for Disentanglement Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Topology-Aware Single-Image 3D Shape Reconstruction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep FisherNet for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

Deeply Supervised Salient Object Detection with Short Connections.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Rethinking Exposure Bias In Language Modeling.
CoRR, 2019

Neural Program Synthesis By Self-Learning.
CoRR, 2019

Unaligned Image-to-Sequence Transformation with Loop Consistency.
CoRR, 2019

Learning Instance Occlusion for Panoptic Segmentation.
CoRR, 2019

Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Geometry-Aware End-to-End Skeleton Detection.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

3D Volumetric Modeling with Introspective Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Local Binary Pattern Networks.
CoRR, 2018

Deep Convolutional Neural Networks with Merge-and-Run Mappings.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Attentional ShapeContextNet for Point Cloud Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Wasserstein Introspective Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Holistically-Nested Edge Detection.
Int. J. Comput. Vis., 2017

Rethinking Spatiotemporal Feature Learning For Video Understanding.
CoRR, 2017

Top-down Flow Transformer Networks.
CoRR, 2017

DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images.
CoRR, 2017

Introspective Generative Modeling: Decide Discriminatively.
CoRR, 2017

Introspective Classifier Learning: Empower Generatively.
CoRR, 2017

Introspective Classification with Convolutional Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Introspective Neural Networks for Generative Modeling.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Aggregated Residual Transformations for Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
On the Connection of Deep Fusion to Ensembling.
CoRR, 2016

Deep FisherNet for Object Classification.
CoRR, 2016

Object Detection Free Instance Segmentation With Labeling Transformations.
CoRR, 2016

Dense Volume-to-Volume Vascular Boundary Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Top-Down Learning for Structured Labeling with Convolutional Pseudoprior.
Proceedings of the Computer Vision - ECCV 2016, 2016

HFS: Hierarchical Feature Selection for Efficient Image Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Robust L<sub>2</sub>E Estimation of Transformation for Non-Rigid Registration.
IEEE Trans. Signal Process., 2015

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Convolutional Pseudo-Prior for Structured Labeling.
CoRR, 2015

Training Deeper Convolutional Networks with Deep Supervision.
CoRR, 2015

What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks.
CoRR, 2015

A two-layer structure prediction framework for microscopy cell detection.
Comput. Medical Imaging Graph., 2015

Structural Edge Detection for Cardiovascular Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Deeply-Supervised Nets.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Robust Point Matching via Vector Field Consensus.
IEEE Trans. Image Process., 2014

Exemplar-Based Human Action Pose Correction.
IEEE Trans. Cybern., 2014

Symmetry Constraint for Foreground Extraction.
IEEE Trans. Cybern., 2014

Robust Subspace Discovery via Relaxed Rank Minimization.
Neural Comput., 2014

Weakly supervised histopathology cancer image segmentation and classification.
Medical Image Anal., 2014

Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations.
CoRR, 2014

Scale-Space SIFT flow.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Learning to Predict from Crowdsourced Data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Harvesting Motion Patterns in Still Images from the Internet.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Reverse Image Segmentation: A High-Level Solution to a Low-Level Task.
Proceedings of the British Machine Vision Conference, 2014

Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Cluster-Based Co-Saliency Detection.
IEEE Trans. Image Process., 2013

Regularized vector field learning with sparse approximation for mismatch removal.
Pattern Recognit., 2013

Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation.
Neuroinformatics, 2013

Whole-body anatomy localization via classification and regression forests.
Medical Image Anal., 2013

Scalable $k$-NN graph construction.
CoRR, 2013

Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013).
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Max-Margin Multiple-Instance Dictionary Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Fixed-Point Model For Structured Labeling.
Proceedings of the 30th International Conference on Machine Learning, 2013

Action Recognition with Actons.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Sparse Subspace Denoising for Image Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Estimation of Nonrigid Transformation for Point Set Registration.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Harvesting Mid-level Visual Concepts from Large-Scale Internet Images.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Co-Transduction for Shape Retrieval.
IEEE Trans. Image Process., 2012

Fast Approximate Stochastic Tractography.
Neuroinformatics, 2012

A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.
J. Am. Medical Informatics Assoc., 2012

Pictorial multi-atlas segmentation of brain MRI.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Unsupervised object class discovery via saliency-guided multiple class learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Detecting texts of arbitrary orientations in natural images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Scalable k-NN graph construction for visual descriptors.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Affinity learning via self-diffusion for image segmentation and clustering.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Unsupervised metric fusion by cross diffusion.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Exemplar-based human action pose correction and tagging.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Randomness and sparsity induced codebook learning with application to cancer image classification.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery.
Proceedings of the Computer Vision - ACCV 2012, 2012

Disagreement-Based Multi-system Tracking.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

Discriminative Clustering via Generative Feature Mapping.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods.
IEEE Trans. Medical Imaging, 2011

Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment.
NeuroImage, 2011

Robust Skull Stripping of Clinical Glioblastoma Multiforme Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Classification of Alzheimer's Disease Using a Self-Smoothing Operator.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning.
Proceedings of the Information Processing in Medical Imaging, 2011

Unsupervised metric learning by Self-Smoothing Operator.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning a mixture of sparse distance metrics for classification and dimensionality reduction.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation.
IEEE Trans. Medical Imaging, 2010

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Learning Context-Sensitive Shape Similarity by Graph Transduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Detecting object boundaries using low-, mid-, and high-level information.
Comput. Vis. Image Underst., 2010

Agreement-Based Semi-supervised Learning for Skull Stripping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Fusing adaptive atlas and informative features for robust 3D brain image segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Discretizing stochastic tractography: a fast implementation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Object Recognition Using Junctions.
Proceedings of the Computer Vision - ECCV 2010, 2010

Co-transduction for Shape Retrieval.
Proceedings of the Computer Vision, 2010

Sparse semi-supervised learning for perceptual grouping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors.
IEEE Trans. Medical Imaging, 2009

Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.
NeuroImage, 2009

Corrigendum to "Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls" [NeuroImage 43 (2008) 59-68].
NeuroImage, 2009

Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Wavelet-Based Representation of Biological Shapes.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Integrating contour and skeleton for shape classification.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Active skeleton for non-rigid object detection.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Efficient scale space auto-context for image segmentation and labeling.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Shape band: A deformable object detection approach.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Integral Channel Features.
Proceedings of the British Machine Vision Conference, 2009

2008
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models.
IEEE Trans. Medical Imaging, 2008

Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls.
NeuroImage, 2008

Shape matching and registration by data-driven EM.
Comput. Vis. Image Underst., 2008

Automatic Subcortical Segmentation Using a Contextual Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

MRF Labeling with a Graph-Shifts Algorithm.
Proceedings of the Combinatorial Image Analysis, 12th International Workshop, 2008

Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Improving Shape Retrieval by Learning Graph Transduction.
Proceedings of the Computer Vision, 2008

Multiple Component Learning for Object Detection.
Proceedings of the Computer Vision, 2008

Auto-context and its application to high-level vision tasks.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Learning based coarse-to-fine image registration.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Graph-shifts: Natural image labeling by dynamic hierarchical computing.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.
IEEE Trans. Medical Imaging, 2007

Direct mapping of hippocampal surfaces with intrinsic shape context.
NeuroImage, 2007

Towards Whole Brain Segmentation by a Hybrid Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Joint Sulci Detection Using Graphical Models and Boosted Priors.
Proceedings of the Information Processing in Medical Imaging, 2007

Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm.
Proceedings of the Information Processing in Medical Imaging, 2007

Learning Generative Models via Discriminative Approaches.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Feature Mining for Image Classification.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Parsing Images into Regions, Curves, and Curve Groups.
Int. J. Comput. Vis., 2006

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Lung Tumor Diagnosis and Subtype Discovery by Gene Expression Profiling.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Learning Based Approach for 3D Segmentation and Colon Detagging.
Proceedings of the Computer Vision, 2006

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Supervised Learning of Edges and Object Boundaries.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Image Parsing: Unifying Segmentation, Detection, and Recognition.
Int. J. Comput. Vis., 2005

Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

An Integrated Framework for Image Segmentation and Perceptual Grouping.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Range Image Segmentation by an Effective Jump-Diffusion Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Shape Matching and Recognition - Using Generative Models and Informative Features.
Proceedings of the Computer Vision, 2004

2002
Image Segmentation by Data-Driven Markov Chain Monte Carlo.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Parsing Images into Region and Curve Processes.
Proceedings of the Computer Vision, 2002

A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction.
Proceedings of the Computer Vision, 2002

2001
Image Segmentation by Data Driven Markov Chain Monte Carlo.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000


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