Kermad, C.
* 2000: Multi-bands Image Segmentation: A Scalar Approach
* 2001: Improving Feature Tracking by Robust Points of Interest Selection
Kermad, C.D.[Chafik Djalal]
* 2002: Automatic image segmentation system through iterative edge-region co-operation
Kermani, E.[Elham]
* 2014: robust adaptive algorithm of moving object detection for video surveillance, A
Kermani, G.
* 2017: Robocodes: Towards Generative Street Addresses from Satellite Imagery
Kermani, S.
* 2007: Fully 3D System for Cardiac Wall Deformation Analysis in MRI Data, A
* 2020: Automatic detection of acute lymphoblastic leukaemia based on extending the multifractal features
* 2020: Automatic detection of acute lymphoblastic leukaemia based on extending the multifractal features
Includes: Kermani, S. Kermani, S.[Saeed]
Kermarrec, A.M.[Anne Marie]
* 2021: Quicker ADC: Unlocking the Hidden Potential of Product Quantization With SIMD
Includes: Kermarrec, A.M.[Anne Marie] Kermarrec, A.M.[Anne-Marie]
Kermarrec, G.[Gael]
* 2020: Deformation Analysis Using B-Spline Surface with Correlated Terrestrial Laser Scanner Observations: A Bridge Under Load
* 2021: Analysis of the temporal correlations of TLS range observations from plane fitting residuals
* 2021: Fitting Terrestrial Laser Scanner Point Clouds with T-Splines: Local Refinement Strategy for Rigid Body Motion
* 2022: Classification of Terrestrial Laser Scanner Point Clouds: A Comparison of Methods for Landslide Monitoring from Mathematical Surface Approximation
* 2022: Recent Advances in Modelling Geodetic Time Series and Applications for Earth Science and Environmental Monitoring
Includes: Kermarrec, G.[Gael] Kermarrec, G.[Gaël]
Kermen, A.
* 2015: multi-sensor integrated head-mounted display setup for augmented reality applications, A
Kermgard, B.[Bonnie]
* 2012: Bayesian geometric modeling of indoor scenes
* 2013: Understanding Bayesian Rooms Using Composite 3D Object Models
Kermi, A.[Adel]
* 2018: Fully automated brain tumour segmentation system in 3D-MRI using symmetry analysis of brain and level sets
Kerminen, R.
* 2007: Metadata in Sequential Real-Time 2-D Detection
* 2015: Analysing traffic fluency from bus data
Kermisch, D.[Dorian]
* 1985: Rotation of digital images
* 1987: Rotation of digital images
Kermit, M.[Martin]
* 2000: Audio signal identification via pattern capture and template matching
* 2000: Treatment of obstructive sleep apnea syndrome by monitoring patients airflow signals
Kermode, L.[Lachlan]
* 2022: Detecting Tear Gas Canisters With Limited Training Data
Kermode, R.G.
* 1995: Coding for content: enhanced resolution from coding
Kermorgant, O.[Olivier]
* 2021: Complete Singularity Analysis for the Perspective-Four-Point Problem
* 2021: Platooning of Car-Like Vehicles in Urban Environments: An Observer-Based Approach Considering Actuator Dynamics and Time Delays
Kermorvant, C.[Christopher]
* 2009: From Isolated Handwritten Characters to Fields Recognition: There's Many a Slip Twixt Cup and Lip
* 2010: A2iA-Telecom ParisTech-UOB System for the ICDAR 2009 Handwriting Recognition Competition, The
* 2010: Handwritten Mail Classification Experiments with the Rimes Database
* 2011: Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition
* 2011: Sample-Dependent Feature Selection for Faster Document Image Categorization
* 2013: Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition
* 2013: Handwritten Information Extraction from Historical Census Documents
* 2013: On the Evaluation of Handwritten Text Line Detection Algorithms
* 2015: Framewise and CTC training of Neural Networks for handwriting recognition
* 2015: Hybrid word/Part-of-Arabic-Word Language Models for arabic text document recognition
* 2015: LIMSI handwriting recognition system for the HTRtS 2014 contest, The
* 2015: Paragraph text segmentation into lines with Recurrent Neural Networks
* 2015: Where to apply dropout in recurrent neural networks for handwriting recognition?
* 2018: Fully convolutional network with dilated convolutions for handwritten text line segmentation
* 2018: Learning to detect, localize and recognize many text objects in document images from few examples
* 2021: Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks
* 2022: LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition, The
* 2023: Confidence Estimation for Object Detection in Document Images
Includes: Kermorvant, C.[Christopher] Kermorvant, C.
18 for Kermorvant, C.