Shaohua Kevin Zhou

Orcid: 0000-0002-6881-4444

Affiliations:
  • Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, China
  • Siemens Corporate Technology, Imaging and Computer Vision


According to our database1, Shaohua Kevin Zhou authored at least 337 papers between 2002 and 2025.

Collaborative distances:

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Bibliography

2025
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation.
Medical Image Anal., 2025

O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision.
Medical Image Anal., 2025

2024
Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

Adversarial Medical Image With Hierarchical Feature Hiding.
IEEE Trans. Medical Imaging, April, 2024

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism.
IEEE Trans. Medical Imaging, April, 2024

Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning.
Proc. ACM Manag. Data, 2024

Addressing fairness issues in deep learning-based medical image analysis: a systematic review.
npj Digit. Medicine, 2024

OS-SSVEP: One-shot SSVEP classification.
Neural Networks, 2024

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation.
Medical Image Anal., 2024

Which images to label for few-shot medical image analysis?
Medical Image Anal., 2024

MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction.
CoRR, 2024

E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model.
CoRR, 2024

Prototype-based Optimal Transport for Out-of-Distribution Detection.
CoRR, 2024

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels.
CoRR, 2024

GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding.
CoRR, 2024

MambaMIM: Pre-training Mamba with State Space Token-interpolation.
CoRR, 2024

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference.
CoRR, 2024

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models.
CoRR, 2024

Contrastive Learning Via Equivariant Representation.
CoRR, 2024

Unsupervised Density Neural Representation for CT Metal Artifact Reduction.
CoRR, 2024

DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction.
CoRR, 2024

PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery.
CoRR, 2024

WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity.
CoRR, 2024

Skeleton Supervised Airway Segmentation.
CoRR, 2024

DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction.
CoRR, 2024

APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation.
CoRR, 2024

ProMISe: Promptable Medical Image Segmentation using SAM.
CoRR, 2024

U<sup>2</sup>MRPD: Unsupervised undersampled MRI reconstruction by prompting a large latent diffusion model.
CoRR, 2024

Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport.
CoRR, 2024

Two-dimensional materials for future information technology: status and prospects.
Sci. China Inf. Sci., 2024

Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization.
Appl. Math. Comput., 2024

Distortion-Disentangled Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hierarchical Multiple Instance Learning for COPD Grading with Relatively Specific Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Nowhere to Hide: Toward Robust Reactive Medical Adversarial Defense.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

E-DM: Evaluating Diffusion Model by Conformal Prediction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

DNA-DIR: 2D-3D Geometry Embedding for Intraoperative Partial-to-Full Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Rethinking Dual-Domain Undersampled MRI Reconstruction: Domain-Specific Design from the Perspective of the Receptive Field.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Prompt Learning with Extended Kalman Filter for Pre-trained Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Mayfly: a Neural Data Structure for Graph Stream Summarization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Out-of-Distribution Detection for Learning-Based Chest X-Ray Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2024

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising.
Medical Image Anal., December, 2023

Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting.
IEEE Trans. Medical Imaging, October, 2023

Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix.
IEEE Trans. Medical Imaging, May, 2023

Radiology report generation with a learned knowledge base and multi-modal alignment.
Medical Image Anal., May, 2023

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives.
Medical Image Anal., April, 2023

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, March, 2023

Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.
Medical Image Anal., 2023

Sparse-view CT Reconstruction with 3D Gaussian Volumetric Representation.
CoRR, 2023

ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training.
CoRR, 2023

Inspecting Model Fairness in Ultrasound Segmentation Tasks.
CoRR, 2023

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution.
CoRR, 2023

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation.
CoRR, 2023

LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis.
CoRR, 2023

Slide-SAM: Medical SAM Meets Sliding Window.
CoRR, 2023

Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification.
CoRR, 2023

CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion.
CoRR, 2023

Unsupervised augmentation optimization for few-shot medical image segmentation.
CoRR, 2023

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.
CoRR, 2023

Unified Multi-Modal Image Synthesis for Missing Modality Imputation.
CoRR, 2023

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising.
CoRR, 2023

Causal Image Synthesis of Brain MR in 3D.
CoRR, 2023

Evidence-aware multi-modal data fusion and its application to total knee replacement prediction.
CoRR, 2023

DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction.
CoRR, 2023

GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision.
CoRR, 2023

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism.
CoRR, 2023

O2CTA: Introducing Annotations from OCT to CCTA in Coronary Plaque Analysis.
CoRR, 2023

Mixed-order self-paced curriculum learning for universal lesion detection.
CoRR, 2023

Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation.
CoRR, 2023

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
CoRR, 2023

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active CT Reconstruction with a Learned Sampling Policy.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

UOD: Universal One-Shot Detection of Anatomical Landmarks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DiffULD: Diffusive Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

WeakPolyp: You only Look Bounding Box for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Label-Free Nuclei Segmentation Using Intra-Image Self Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2022

DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography.
Medical Image Anal., 2022

Knowledge matters: Chest radiology report generation with general and specific knowledge.
Medical Image Anal., 2022

GAN-based disentanglement learning for chest X-ray rib suppression.
Medical Image Anal., 2022

MURPHY: Relations Matter in Surgical Workflow Analysis.
CoRR, 2022

Information-guided pixel augmentation for pixel-wise contrastive learning.
CoRR, 2022

MONAI: An open-source framework for deep learning in healthcare.
CoRR, 2022

A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges.
CoRR, 2022

REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition.
CoRR, 2022

DATR: Domain-adaptive transformer for multi-domain landmark detection.
CoRR, 2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.
CoRR, 2022

Recovering medical images from CT film photos.
CoRR, 2022

3D endoscopic depth estimation using 3D surface-aware constraints.
CoRR, 2022

MixCL: Pixel label matters to contrastive learning.
CoRR, 2022

Universal Segmentation of 33 Anatomies.
CoRR, 2022

Relative distance matters for one-shot landmark detection.
CoRR, 2022

Aggregative Self-supervised Feature Learning from Limited Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Rib Suppression in Digital Chest Tomosynthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Incrementally to Segment Multiple Organs in a CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SATr: Slice Attention with Transformer for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Non-Linear Embedding Deformation Network for Cross-Modal Brain MRI Synthesis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency.
Proceedings of the Computer Vision - ECCV 2022, 2022

Which images to label for few-shot medical landmark detection?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer.
IEEE Trans. Medical Imaging, 2021

Label-Free Segmentation of COVID-19 Lesions in Lung CT.
IEEE Trans. Medical Imaging, 2021

Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis.
IEEE Trans. Medical Imaging, 2021

Semi-Supervised Natural Face De-Occlusion.
IEEE Trans. Inf. Forensics Secur., 2021

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021

Deep reinforcement learning in medical imaging: A literature review.
Medical Image Anal., 2021

Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration.
Medical Image Anal., 2021

Marginal loss and exclusion loss for partially supervised multi-organ segmentation.
Medical Image Anal., 2021

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment.
CoRR, 2021

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge.
CoRR, 2021

Medical Aegis: Robust adversarial protectors for medical images.
CoRR, 2021

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction.
CoRR, 2021

Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image.
CoRR, 2021

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography.
CoRR, 2021

Pathological Image Segmentation with Noisy Labels.
CoRR, 2021

Conditional Training with Bounding Map for Universal Lesion Detection.
CoRR, 2021

Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation.
CoRR, 2021

Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets.
CoRR, 2021

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.
Int. J. Comput. Assist. Radiol. Surg., 2021

Few-shot Learning for Multi-Modality Tasks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

You only Learn Once: Universal Anatomical Landmark Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

One-Shot Medical Landmark Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Shallow Attention Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Universal Undersampled MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Conditional Training with Bounding Map for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Perceptual Quality Assessment of Chest Radiograph.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A<sup>3</sup>DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation.
Proceedings of the Information Processing in Medical Imaging, 2021

Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification.
Proceedings of the Intelligent Computing Theories and Application, 2021

Shallow Feature Matters for Weakly Supervised Object Localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.
IEEE Trans. Medical Imaging, 2020

High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors.
IEEE Trans. Medical Imaging, 2020

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.
Medical Image Anal., 2020

CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models.
CoRR, 2020

Aggregative Self-Supervised Feature Learning.
CoRR, 2020

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency.
CoRR, 2020

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020

Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning.
CoRR, 2020

Human Recognition Using Face in Computed Tomography.
CoRR, 2020

First image then video: A two-stage network for spatiotemporal video denoising.
CoRR, 2020

DuDoNet++: Encoding mask projection to reduce CT metal artifacts.
CoRR, 2020

Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images.
CoRR, 2020

One-to-one Mapping for Unpaired Image-to-image Translation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Towards multi-sequence MR image recovery from undersampled k-space data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Bounding Maps for Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Learning A Self-Inverse Network for Bidirectional Mri Image Synthesis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation.
CoRR, 2019

Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement.
CoRR, 2019

Combo loss: Handling input and output imbalance in multi-organ segmentation.
Comput. Medical Imaging Graph., 2019

Select, Attend, and Transfer: Light, Learnable Skip Connections.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

3D U<sup>2</sup>-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Select, Attend, and Transfer: Light, Learnable Skip Connections.
CoRR, 2018

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks.
CoRR, 2018

Learning to Prune Filters in Convolutional Neural Networks.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial Sparse-View CBCT Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Face Completion with Semantic Knowledge and Collaborative Adversarial Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

A Deep Cascade Network for Unaligned Face Attribute Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.
Proceedings of the Information Processing in Medical Imaging, 2017

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency.
CoRR, 2016

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Face Recognition, Video-Based.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Medical Imaging, 2015

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN).
IEEE Trans. Medical Imaging, 2014

Discriminative anatomy detection: Classification vs regression.
Pattern Recognit. Lett., 2014

Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Spine detection in CT and MR using iterated marginal space learning.
Medical Image Anal., 2013

Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.
Medical Image Anal., 2013

Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their Riemannian Statistics.
Int. J. Comput. Vis., 2013

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Automatic Nuchal Translucency Measurement from Ultrasonography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Learning the Manifold of Quality Ultrasound Acquisition.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Anatomical landmark detection using multiple instance boosting with spatial regularization.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models.
Proceedings of the Information Processing in Medical Imaging, 2013

Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Automatic Detection and Segmentation of Lymph Nodes From CT Data.
IEEE Trans. Medical Imaging, 2012

A Cascade Learning Method for Liver Lesion Detection in CT Images.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic computation of 2D cardiac measurements from B-mode echocardiography.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Automatic fetal weight estimation using 3D ultrasonography.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

Automatic detection of liver lesion from 3D computed tomography images.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans.
IEEE Trans. Medical Imaging, 2011

Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region.
Comput. Medical Imaging Graph., 2011

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data.
Proceedings of the Medical Imaging 2011: Visualization, 2011

Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic Contrast Phase Estimation in CT Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Segmentation Based Features for Lymph Node Detection from 3-D Chest CT.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Search for the best matching ultrasound frame based on spatial and temporal saliencies.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

A method for mass candidate detection and an application to liver lesion detection.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Endocardium tracking by fusing optical flows in straightened images with learning based detections.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Integrated Detection Network (IDN) for pose and boundary estimation in medical images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Fast boosting trees for classification, pose detection, and boundary detection on a GPU.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Face Tracking and Recognition in Video.
Proceedings of the Handbook of Face Recognition, 2nd Edition., 2011

2010
Robust Height Estimation of Moving Objects From Uncalibrated Videos.
IEEE Trans. Image Process., 2010

Shape regression machine and efficient segmentation of left ventricle endocardium from 2D B-mode echocardiogram.
Medical Image Anal., 2010

Learning Discriminative Distance Functions for Case Retrieval and Decision Support.
Trans. Case Based Reason., 2010

Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automatic landmark detection and scan range delimitation for topogram images using hierarchical network.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Automatic Detection and Segmentation of Axillary Lymph Nodes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Database-guided breast tumor detection and segmentation in 2D ultrasound images.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

Auto-biometric for M-mode echocardiography.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Multiple object detection by sequential monte carlo and Hierarchical Detection Network.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Search strategies for multiple landmark detection by submodular maximization.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Lymph node detection in 3-D chest CT using a spatial prior probability.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Body landmark detection for a fully automatic AAA stent graft planning software system.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009
Face Recognition, Video-Based.
Proceedings of the Encyclopedia of Biometrics, 2009

Appearance Modeling Using a Geometric Transform.
IEEE Trans. Image Process., 2009

Variational Graph Embedding for Globally and Locally Consistent Feature Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Hierarchical parsing and semantic navigation of full body CT data.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Shape-based diagnosis of the aortic valve.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Estimating the body portion of CT volumes by matching histograms of visual words.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Coronary Tree Extraction Using Motion Layer Separation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner.
Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Context ranking machine and its application to rigid localization of deformable objects.
Proceedings of the International Conference on Image Processing, 2009

Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Constrained marginal space learning for efficient 3D anatomical structure detection in medical images.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Robust guidewire tracking in fluoroscopy.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Similarity Learning for Motion Estimation.
Proceedings of the Semantic Mining Technologies for Multimedia Databases., 2009

2008
AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Discriminative Learning for Deformable Shape Segmentation: A Comparative Study.
Proceedings of the Computer Vision, 2008

Conditional density learning via regression with application to deformable shape segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Hierarchical, learning-based automatic liver segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification.
J. Comput., 2007

Visualizing Patient Similarity in Clinical Decision Support.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

Shape Regression Machine.
Proceedings of the Information Processing in Medical Imaging, 2007

Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Robust Visual Tracking Using the Time-Reversibility Constraint.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Automatic Cardiac View Classification of Echocardiogram.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A boosting regression approach to medical anatomy detection.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Pairwise Active Appearance Model and Its Application to Echocardiography Tracking.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Integrated Detection, Tracking and Recognition for IR Video-Based Vehicle Classification.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Example Based Non-rigid Shape Detection.
Proceedings of the Computer Vision, 2006

Integrating Video Information over Time. Example: Face Recognition from Video.
Proceedings of the Cognitive Vision Systems, 2006

Image-Based Multiclass Boosting and Echocardiographic View Classification.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Recognition of Humans and Their Activities Using Video
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02236-4, 2005

Image Based Regression Using Boosting Method.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Appearance Modeling Under Geometric Context.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Tracking Algorithm Using Background-Foreground Motion Models and Multiple Cues.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A method for converting a smiling face to a neutral face with applications to face recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Video Background Retrieval using Mosaic Images.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Binary Decision Tree Implementation of a Boosted Strong Classifier.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005

2004
Visual tracking and recognition using appearance-adaptive models in particle filters.
IEEE Trans. Image Process., 2004

Face Recognition Using More than One Still Image: What Is More?
Proceedings of the Advances in Biometric Person Authentication, 2004

Multiple-Exemplar Discriminant Analysis for Face Recognition.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Robust Appearance-Based Tracking of Moving Object from Moving Platform.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Simultaneous background and foreground modeling for tracking in surveillance video.
Proceedings of the 2004 International Conference on Image Processing, 2004

Robust two-camera tracking using homography.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Appearance-based tracking and recognition using the 3D trilinear tensor.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Probabilistic face recognition from compressed imagery.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Intra-Personal Kernel Space for Face Recognition.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

Illuminating Light Field: Image-based Face Recognition Across Illuminations and Poses.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints.
Proceedings of the Computer Vision, 2004

Probabilistic Identity Characterization for Face Recognition.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Probabilistic recognition of human faces from video.
Comput. Vis. Image Underst., 2003

Adaptive visual tracking and recognition using particle filters.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Simultaneous tracking and recognition of human faces from video.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A comparison of subspace analysis for face recognition.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Rank Constrained Recognition under Unknown Illuminations.
Proceedings of the 2003 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), 2003

2002
A Robust Algorithm for Probabilistic Human Recognition From.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Bayesian methods for face recognition from video.
Proceedings of the IEEE International Conference on Acoustics, 2002

Synthesis of visual textures and perceptual asymmetry of visual texture perception.
Proceedings of the Seventh International Conference on Control, 2002

Face Recognition from Video: A CONDENSATION Approach.
Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002

Exemplar-Based Face Recognition from Video.
Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002

Probabilistic Human Recognition from Video.
Proceedings of the Computer Vision, 2002


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