Le Lu

According to our database1, Le Lu authored at least 143 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020

Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
IEEE J. Biomed. Health Informatics, 2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images.
CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020

CircleNet: Anchor-free Detection with Circle Representation.
CoRR, 2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
CoRR, 2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR, 2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
CoRR, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans.
CoRR, 2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search.
CoRR, 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning.
CoRR, 2020

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies.
CoRR, 2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
CoRR, 2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning to Segment Anatomical Structures Accurately from One Exemplar.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network.
CoRR, 2019

Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
CoRR, 2019

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly-supervised deep learning of interstitial lung disease types on CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Tumor Growth Prediction Using Convolutional Networks.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.
IEEE Trans. Medical Imaging, 2018

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Medical Image Anal., 2018

Deep Medical Image Computing in Preventive and Precision Medicine.
IEEE Multim., 2018

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.
CoRR, 2018

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.
CoRR, 2018

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

An analysis of robust cost functions for CNN in computer-aided diagnosis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Self-learning to detect and segment cysts in lung CT images without manual annotation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Unsupervised body part regression via spatially self-ordering convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
IEEE J. Biomed. Health Informatics, 2017

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.
IEEE Trans. Image Process., 2017

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.
CoRR, 2017

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations.
CoRR, 2017

Unsupervised body part regression using convolutional neural network with self-organization.
CoRR, 2017

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.
CoRR, 2017

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 2017

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Personalized Pancreatic Tumor Growth Prediction via Group Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Pelvic artery calcification detection on CT scans using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Text Mining Radiology Reports for Deep Learning Radiology Images.
Proceedings of the AMIA 2017, 2017

Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
IEEE Trans. Medical Imaging, 2016

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging, 2016

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.
J. Mach. Learn. Res., 2016

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Active appearance model and deep learning for more accurate prostate segmentation on MRI.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep convolutional networks for automated detection of posterior-element fractures on spine CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Colitis detection on abdominal CT scans by rich feature hierarchies.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Colitis detection on computed tomography using regional convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Segmentation label propagation using deep convolutional neural networks and dense conditional random field.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.
Medical Image Anal., 2015

Deep convolutional networks for pancreas segmentation in CT imaging.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Anatomy-specific classification of medical images using deep convolutional nets.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Interleaved text/image Deep Mining on a large-scale radiology database.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications.
CoRR, 2014

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis.
CoRR, 2014

Robust automated lymph node segmentation with random forests.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Multilevel image recognition using discriminative patches and kernel covariance descriptor.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model.
Comput. Vis. Image Underst., 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

Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

2012
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information.
Bioinform., 2012

Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Effective 3D object detection and regression using probabilistic segmentation features in CT images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AdaBoost on low-rank PSD matrices for metric learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Stratified learning of local anatomical context for lung nodules in CT images.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography.
Proceedings of the Computer Vision, 2008

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Efficient particle filtering using RANSAC with application to 3D face tracking.
Image Vis. Comput., 2006

Dynamic Foreground/Background Extraction from Images and Videos using Random Patches.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Combined central and subspace clustering for computer vision applications.
Proceedings of the Machine Learning, 2006

2005
A Two Level Approach for Scene Recognition.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Constrained planar motion analysis by decomposition.
Image Vis. Comput., 2004

A Three Tiered Approach for Articulated Object Action Modeling and Recognition.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Particle Filter without Dynamics for Robust 3D Face Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2001
Concentric Mosaic(s)Planar Motion and 1D Cameras.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
A Novel Method for Camera Planar Motion Detection and Robust Estimation of the 1D Trifocal Tensor.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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