Jodogne, S.
* 2005: Task-Driven Learning of Spatial Combinations of Visual Features
* 2006: Robust Analysis of Silhouettes by Morphological Size Distributions
* 2015: Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge
Includes: Jodogne, S. Jodogne, S.[Sébastien]
Jodoin, J.P.[Jean Philippe]
* 2013: Change Detection in Feature Space Using Local Binary Similarity Patterns
* 2014: Urban Tracker: Multiple object tracking in urban mixed traffic
* 2016: Tracking All Road Users at Multimodal Urban Traffic Intersections
Includes: Jodoin, J.P.[Jean Philippe] Jodoin, J.P.[Jean-Philippe]
Jodoin, P.
* 2018: Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
* 2018: MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization
* 2019: Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
Jodoin, P.M.
* 2004: energy-based framework using global spatial constraints for the stereo correspondence problem, An
* 2004: Unsupervised Motion Detection Using a Markovian Temporal Model with Global Spatial Constraints
* 2005: Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
* 2005: Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues
* 2006: Background Subtraction Framework Based on Local Spatial Distributions
* 2006: Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure
* 2006: Light and Fast Statistical Motion Detection Method Based on Ergodic Model
* 2006: Optical-flow based on an edge-avoidance procedure
* 2007: Segmentation Framework Based on Label Field Fusion
* 2007: Statistical Background Subtraction Using Spatial Cues
* 2008: Abnormal behavior detection and behavior matching for networked cameras
* 2008: Markovian method for 2D, 3D and 4D segmentation of MRI
* 2008: Modeling background activity for behavior subtraction
* 2008: Motion detection with an unstable camera
* 2008: Motion detection with false discovery rate control
* 2008: Motion segmentation and abnormal behavior detection via behavior clustering
* 2008: Review and evaluation of commonly-implemented background subtraction algorithms
* 2009: Abnormal events detection based on spatio-temporal co-occurences
* 2009: Foreground-Adaptive Background Subtraction
* 2009: Implicit Active-Contouring with MRF
* 2009: Optical-flow based on an edge-avoidance procedure
* 2010: Activity Based Matching in Distributed Camera Networks
* 2010: Camera-projector matching using an unstructured video stream
* 2010: Human Detection with a Multi-sensors Stereovision System
* 2010: Search Strategies for Image Multi-distortion Estimation
* 2010: Video Anomaly Identification
* 2011: Abnormality detection using low-level co-occurring events
* 2011: Image Multidistortion Estimation
* 2012: Behavior Subtraction
* 2012: Camera-projector matching using unstructured video
* 2012: Changedetection.net: A new change detection benchmark dataset
* 2012: Real-Time Activity Search of Surveillance Video
* 2013: Meta-tracking for video scene understanding
* 2014: CDnet 2014: An Expanded Change Detection Benchmark Dataset
* 2014: Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification
* 2014: Lying-pose detection with training dataset expansion
* 2014: Novel Video Dataset for Change Detection Benchmarking, A
* 2015: High-speed transition patterns for video projection, 3D reconstruction, and copyright protection
* 2015: Machine learning and pattern recognition models in change detection
* 2015: Nonlinear Background Filter to Improve Pedestrian Detection
* 2015: Novel Graph Cuts Method for Multi-Frame Super-Resolution
* 2015: Traffic analysis without motion features
* 2016: Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes
* 2016: Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
* 2017: Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization
* 2017: Improving pedestrian detection using motion-guided filtering
* 2017: Interactive deep learning method for segmenting moving objects
* 2017: Non-local Deep Features for Salient Object Detection
* 2018: Traffic Analytics With Low-Frame-Rate Videos
* 2019: Spectral Metric for Dataset Complexity Assessment
* 2019: Structured Pruning of Neural Networks With Budget-Aware Regularization
* 2020: Cardiac Segmentation With Strong Anatomical Guarantees
* 2021: Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images
* 2022: Echocardiography Segmentation With Enforced Temporal Consistency
Includes: Jodoin, P.M. Jodoin, P.M.[Pierre-Marc]
54 for Jodoin, P.M.
Jodoin, R.E.[Ronald E.]
* 1997: Area mapping employing reference clusters for high quality noninteger resolution conversion with enhancement
* 1997: Logically Efficient Spatial-Resolution Conversion Using Paired Increasing Operators
* 1997: Method and apparatus employing erosion-based filter pairs for image mapping
Includes: Jodoin, R.E.[Ronald E.] Jodoin, R.E.
Jodouin, S.[Sylvie]
* 2002: Combined Estimation-Deformation Model for Area Detection: Application to Topographic Area Feature Update, A
* 2003: Road vectors update using SAR imagery: a snake-based method
* 2003: Spatial database updating using active contours for multispectral images: application with Landsat 7
Includes: Jodouin, S.[Sylvie] Jodouin, S.