2024
Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability.
Trans. Assoc. Comput. Linguistics, 2024
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 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
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
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
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