Index for brec

Brecelj, J.[Jelka] * 2012: Chromatic visual evoked potential responses in preschool children
* 2014: Chromatic visual evoked potentials in young patients with demyelinating disease

Brechbuhler, C. * 1993: Analysis of MR angiography volume data leading to the structural description of the cerebral vessel tree
* 1995: Imposing Hard Constraints on Soft Snakes
* 1995: Parametrization of Closed Surfaces for 3-D Shape-Description
* 1995: Segmentation of 3D Objects from MRI Volume Data Using Constrained Elastic Deformations of Flexible Fourier Surface Models
* 1996: Consistent Site Modeling: Imposing Hard Constraints on Deformable Models
* 1996: Imposing Hard Constraints on Soft Snakes
* 1997: Imposing Hard Constraints on Deformable Models Through Optimization in Orthogonal Subspaces
* 2000: Model-Based Initialisation for Segmentation
* 2000: Parameterization of Closed Surfaces for Parametric Surface Description
* 2000: Parametric estimate of intensity inhomogeneities applied to MRI
Includes: Brechbuhler, C. Brechbühler, C. (Maybe also Brechbuehler, C.)Brechbühler, C.[Christian] (Maybe also Brechbuehler, C.)
10 for Brechbuhler, C.

Brecheisen, R. * 2013: Illustrative uncertainty visualization of DTI fiber pathways

Brecher, H.H.[Henry H.] * 2021: Structure-From-Motion Photogrammetry of Antarctic Historical Aerial Photographs in Conjunction with Ground Control Derived from Satellite Data

Brecher, V. * 1995: Recent Advances in the Automatic Inspection of Integrated-Circuits for Pattern Defects

Brecher, V.H. * 1988: P300: A System for Automatic Pattern Wafer Inspection, The
* 1997: Automatic Defect Classification for Semiconductor Manufacturing

Brechin, F. * 2015: Structural Simulations and Conservation Analysis: Historic Building Information Model (HBIM)

Brechmann, A.[Andre] * 2005: Two-level Dynamic Model for The Representation And Recognition of Cortical Folding Patterns, A
* 2009: Parcellation of the Auditory Cortex into Landmark-Related Regions of Interest
* 2011: Finding Landmarks in the Functional Brain using Feature Reduction and Alignment Techniques
* 2011: Part-based localisation and segmentation of landmark-related auditory cortical regions
Includes: Brechmann, A.[Andre] Brechmann, A.[André]

Brechner, E.L.[Eric L.] * 1997: Method for creating spatially balanced bounding volume hierarchies for use in a computer generated display of a complex structure
* 2007: Method and system for searching for images based on color and shape of a selected image

Brechner, S. * 1999: Automatic System for the Classification of Microfossils, An

Brecht, B. * 2018: Security Credential Management System for V2X Communications, A

Brecht, H.P. * 2011: Imaging Model Incorporating Ultrasonic Transducer Properties for Three-Dimensional Optoacoustic Tomography, An

Brecht, J. * 1998: Multi-frame packet reservation multiple access using oscillation-scaled histogram-based Markov modelling of video codecs

Brechtken, R. * 2008: Visualization of a Necropolis on the Basis of a Portable Aerial Photogrammetric System and Terrestrial Laser Scanning

Breckon, T.[Toby] * 2011: Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
* 2016: Constant-time bilateral filter using spectral decomposition
* 2021: Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
* 2022: Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
Includes: Breckon, T.[Toby] Breckon, T.

Breckon, T.P.[Toby P.] * 2004: Environment Authentication Through 3D Structural Analysis
* 2005: Amodal volume completion: 3D visual completion
* 2005: Non-parametric 3D surface completion
* 2008: Three-Dimensional Surface Relief Completion Via Nonparametric Techniques
* 2009: Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis
* 2010: classifier based approach for the detection of potential threats in CT based Baggage Screening, A
* 2010: Object Recognition Using 3D SIFT in Complex CT Volumes
* 2011: Automatic Road Environment Classification
* 2011: non-temporal texture driven approach to real-time fire detection, A
* 2011: Real-time visual saliency by Division of Gaussians
* 2012: 3D extension to cortex like mechanisms for 3D object class recognition, A
* 2012: application of support vector machine classification to detect cell nuclei for automated microscopy, The
* 2012: Automatic real-time road marking recognition using a feature driven approach
* 2012: comparison of classification approaches for threat detection in CT based baggage screening, A
* 2012: empirical comparison of real-time dense stereo approaches for use in the automotive environment, An
* 2012: Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images
* 2012: hierarchical extension to 3D non-parametric surface relief completion, A
* 2012: novel intensity limiting approach to Metal Artefact Reduction in 3D CT baggage imagery, A
* 2012: On Cross-Spectral Stereo Matching using Dense Gradient Features
* 2013: comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery, A
* 2013: Dictionary of Computer Vision and Image Processing, Second Edition
* 2013: distance driven method for metal artefact reduction in computed tomography, A
* 2013: foreground object based quantitative assessment of dense stereo approaches for use in automotive environments, A
* 2014: 3D object classification in baggage computed tomography imagery using randomised clustering forests
* 2014: Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo
* 2015: Improved 3D sparse maps for high-performance SFM with low-cost omnidirectional robots
* 2015: Improved raindrop detection using combined shape and saliency descriptors with scene context isolation
* 2015: Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening
* 2015: Object classification in 3D baggage security computed tomography imagery using visual codebooks
* 2016: Back to Butterworth: A Fourier basis for 3D surface relief hole filling within RGB-D imagery
* 2016: Dense gradient-based features (DEGRAF) for computationally efficient and invariant feature extraction in real-time applications
* 2016: From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes
* 2016: Generalized dynamic object removal for dense stereo vision based scene mapping using synthesised optical flow
* 2016: Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery
* 2017: evaluation of region based object detection strategies within X-ray baggage security imagery, An
* 2017: Noise robust image edge detection based upon the automatic anisotropic Gaussian kernels
* 2018: Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
* 2018: Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments
* 2018: Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection
* 2018: Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion
* 2018: GANomaly: Semi-supervised Anomaly Detection via Adversarial Training
* 2018: Infrared Image Colorization Using a S-Shape Network
* 2018: On the Impact of Parallax Free Colour and Infrared Image Co-Registration to Fused Illumination Invariant Adaptive Background Modelling
* 2018: On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks
* 2018: Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras
* 2018: Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation via Image Style Transfer
* 2019: Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks, A
* 2019: Degraf-Flow: Extending Degraf Features for Accurate and Efficient Sparse-To-Dense Optical Flow Estimation
* 2019: Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer
* 2019: Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior
* 2019: Ranking Based Attention Approach for Visual Tracking, A
* 2019: To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation
* 2019: Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
* 2020: Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
* 2021: Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
* 2021: DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications
* 2021: Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
* 2021: Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery
* 2021: Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-identification
* 2021: On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
* 2021: On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks
* 2021: Source Class Selection With Label Propagation for Partial Domain Adaptation
* 2021: Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
* 2022: Cross-domain structure preserving projection for heterogeneous domain adaptation
* 2022: Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery
* 2022: Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss
* 2022: Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
* 2022: Measuring Hidden Bias within Face Recognition via Racial Phenotypes
* 2022: Multi-view Vision Transformers for Object Detection
* 2022: On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision
* 2022: Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
* 2023: 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
* 2023: ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
* 2023: Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
* 2023: Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
* 2023: Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
* 2023: Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening
* 2023: Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers
* 2024: Neural architecture search: A contemporary literature review for computer vision applications
Includes: Breckon, T.P.[Toby P.] Breckon, T.P.
79 for Breckon, T.P.

Breckon, T.R.[Toby R.] * 2019: Discrete Curvature Representations for Noise Robust Image Corner Detection

Index for "b"


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