Chet, C.T.Y.[C. T. Yin]
* 2020: Weakly Supervised Gaussian Networks for Action Detection
Chet, K.V.[Koo Voon]
* 2012: PC-based orientation sensing using 9-DOF strapdown inertial measurement unit, A
Chetan, J.
* 2010: Fast and Spatially-Smooth Terrain Classification Using Monocular Camera
Chetan, K.R.
* 2015: novel intelligent robust watermarking scheme for protecting information in document images, A
Chetan, M.A.[Marinela Adriana]
* 2020: 35 Years of Vegetation and Lake Dynamics in the Pechora Catchment, Russian European Arctic
Includes: Chetan, M.A.[Marinela Adriana] Chetan, M.A.[Marinela-Adriana]
Chetehouna, K.[Khaled]
* 2009: On the Evaluation of Segmentation Methods for Wildland Fire
* 2011: Fire scene segmentations for forest fire characterization: A comparative study
Chetelat Pele, E.[Emilie]
* 2011: Analysis and Description of Blinking in French Sign Language for Automatic Generation
Includes: Chetelat Pele, E.[Emilie] Chételat-Pelé, E.[Emilie]
Chetih, N.[Nabil]
* 2018: Robust fuzzy c-means clustering algorithm using non-parametric Bayesian estimation in wavelet transform domain for noisy MR brain image segmentation
Chetlur, S.S.
* 1986: Segmentation of Handwritten Characters
Chetouani, A.[Aladine]
* 2009: Deblocking method using a percpetual recursive filter
* 2010: Deblocking filtering method using a perceptual map
* 2010: Image distortion analysis and classification scheme using a neural approach
* 2010: Statistical Modeling of Image Degradation Based on Quality Metrics
* 2010: universal Full Reference image Quality Metric based on a neural fusion approach, A
* 2012: hybrid system for distortion classification and image quality evaluation, A
* 2012: new scheme for no reference image quality assessment, A
* 2014: Full Reference Image Quality Assessment: Limitation
* 2014: Full reference image quality metric for stereo images based on Cyclopean image computation and neural fusion
* 2014: Improving a vision indoor localization system by a saliency-guided detection
* 2014: Interest lower body point's detection for markerless gait analysis
* 2014: Neural learning-based image quality metric without reference
* 2016: Image Quality Metric with Reference for Multiply Distorted Image, An
* 2016: On the use of image quality measures for image restoration
* 2016: Universal blind image quality assessment for stereoscopic images
* 2017: convolutional neural network framework for blind mesh visual quality assessment, A
* 2018: Classification of Ceramic Shards Based on Convolutional Neural Network
* 2018: Convolutional Neural Network and Saliency Selection for Blind Image Quality Assessment
* 2018: Convolutional Neural Network for Blind Mesh Visual Quality Assessment Using 3D Visual Saliency
* 2019: Blind Robust 3-D Mesh Watermarking Based on Mesh Saliency and QIM Quantization for Copyright Protection
* 2019: Blind Utility and Quality Assessment Using a Convolutional Neural Network and a Patch Selection
* 2019: On the Use of a Convolutional Neural Network to Predict Perceptual Quality of Images without Reference for Different Viewing Distances
* 2019: Robust, blind multichannel image identification and restoration using stack decoder
* 2020: Classification of engraved pottery sherds mixing deep-learning features by compact bilinear pooling
* 2020: Combination Of Handcrafted And Deep Learning-Based Features For 3d Mesh Quality Assessment
* 2020: Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative
* 2020: High-Level Visual Masking of Image Compression Artefacts
* 2020: Kernelized Dense Layers For Facial Expression Recognition
* 2020: Learnable pooling weights for facial expression recognition
* 2020: No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling
* 2020: On the use of a scanpath predictor and convolutional neural network for blind image quality assessment
* 2020: Prediction of Chromatic Visual Masking with Deep Learning
* 2021: Multi-Task Convolutional Neural Network for Blind Stereoscopic Image Quality Assessment Using Naturalness Analysis, A
* 2021: Salypath: A Deep-Based Architecture for Visual Attention Prediction
* 2021: Taylor Series Kernelized Layer for Fine-Grained Recognition
* 2022: Deep-Based Quality Assessment of Medical Images Through Domain Adaptation
* 2022: End-to-End Deep Multi-Score Model for No-Reference Stereoscopic Image Quality Assessment
* 2022: Kernel-based convolution expansion for facial expression recognition
* 2022: Representation Learning Optimization for 3D Point Cloud Quality Assessment Without Reference
* 2022: Self Supervised Scanpath Prediction Framework for Painting Images
* 2023: Comparative Study of Saliency- and Scanpath-Based Approaches for Patch Selection in Image Quality Assessment
* 2023: Inter-Observer Consistent Deep Adversarial Training for Visual Scanpath Prediction, An
* 2024: BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario
* 2024: Blind quality-based pairwise ranking of contrast changed color images using deep networks
Includes: Chetouani, A.[Aladine] Chetouani, A.
44 for Chetouani, A.
Chetouani, M.[Mohamed]
* 2008: Motherese detection based on segmental and supra-segmental features
* 2009: Investigation on LP-residual representations for speaker identification
* 2010: Automatic gait characterization for a mobility assistance system
* 2010: Emotional Speech Classification Based on Multi View Characterization
* 2012: Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines
* 2013: Locating facial landmarks with binary map cross-correlations
* 2013: Tracking Posture and Head Movements of Impaired People During Interactions with Robots
* 2015: Automatic measure of imitation during social interaction: A behavioral and hyperscanning-EEG benchmark
* 2016: Dynamics of Non-Verbal Vocalizations and Hormones during Father-Infant Interaction
* 2016: Multimodal Detection of Engagement in Groups of Children Using Rank Learning
* 2016: Real-time facial action unit intensity prediction with regularized metric learning
* 2018: Multimodal Stress Detection from Multiple Assessments
* 2019: Quantifying patterns of joint attention during human-robot interactions: An application for autism spectrum disorder assessment
* 2020: Computational Study of Primitive Emotional Contagion in Dyadic Interactions
* 2021: Towards Transparent Robot Learning Through TDRL-Based Emotional Expressions
Includes: Chetouani, M.[Mohamed] Chetouani, M.
15 for Chetouani, M.
Chetoui, M.[Mohamed]
* 2020: Deep Retinal Diseases Detection and Explainability Using OCT Images
Chetri, T.[Tilok]
* 2019: NIR-red algorithms-based model for chlorophyll-a retrieval in highly turbid Inland Densu River Basin in South-East Ghana, West Africa
Chettaoui, H.
* 2006: Extracting and tracking Colon's Pattern from Colonoscopic Images
Chettiar, K.[Kripa]
* 2021: Intro and Recap Detection for Movies and TV Series
Chettibi, S.[Saloua]
* 2020: Combination of HF set and MCDM for stable clustering in VANETs
Chettibi, T.
* 2021: Energy Planning for Autonomous Driving of an Over-Actuated Road Vehicle
Chetto, M.
* 2020: EDF-based real-time scheduling for self-powered sensors: AA survey of main theoretical results
Chetty, G.[Girija]
* 2006: Face-Voice Authentication Based on 3D Face Models
* 2007: Audio Visual Speaker Verification Based on Hybrid Fusion of Cross Modal Features
* 2008: Novel Shape Transformation Approach for Quantizing Facial Expressions, A
* 2008: Robust face-voice based speaker identity verification using multilevel fusion
* 2010: Digital Image Tamper Detection Based on Multimodal Fusion of Residue Features
* 2011: Blind Video Tamper Detection Based on Fusion of Source Features
* 2011: Classification of gender and face based on gradient faces
* 2011: Face recognition based on Gabor features
* 2011: Relation Learning: A New Approach to Face Recognition
* 2012: Multi-view Gait Fusion for Large Scale Human Identification in Surveillance Videos
* 2013: Gait recognition based on gait pal and pal entropy image
* 2015: Illumination Invariant Efficient Face Recognition Using a Single Training Image
* 2015: Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features
Includes: Chetty, G.[Girija] Chetty, G.
13 for Chetty, G.
Chetty, K.
* 2012: Through-the-Wall Sensing of Personnel Using Passive Bistatic WiFi Radar at Standoff Distances
* 2018: Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
* 2021: Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point
* 2021: Translation Resilient Opportunistic WiFi Sensing
Includes: Chetty, K. Chetty, K.[Kevin]
Chetty, M.[Madhu]
* 2010: Pattern Recognition in Bioinformatics
Chetupalli, S.R.
* 2017: Joint Bayesian Estimation of Time-Varying LP Parameters and Excitation for Speech
Chetverikov, D.
* 1981: Textural Anisotropy Features for Texture Analysis
* 1987: Texture Imperfections
* 1988: Detecting Defects in Texture
* 1990: Matching Algorithm for Motion Analysis of Dense Populations, A
* 1991: Generating Contrast Curves for Texture Regularity Analysis
* 1992: Correction Of Line Drawings for Image Segmentation In Leather Industry
* 1992: Multiresolution Algorithm for Rotation-Invariant Matching of Planar Shapes, A
* 1994: GLDH Based Analysis of Texture Anisotropy and Symmetry: An Experimental Study
* 1995: Pattern orientation and texture symmetry
* 1995: Texture Anisotropy, Symmetry, Regularity: Recovering Structure and Orientation from Interaction Maps
* 1996: Structural Filtering with Texture Feature Based Interaction Maps: Fast Algorithms and Applications
* 1996: Zone Classification Using Texture Features
* 1997: CRASH project: Defect detection and classification in ferrite cores, The
* 1997: Detecting Shape Defects in Ferrite Cores
* 1997: Texture analysis using pairwise interaction maps
* 1997: Textures and structural defects
* 1998: Pattern regularity as a visual key
* 1998: Tracking Feature Points: A New Algorithm and Comparative Performance Evaluation
* 1999: Matching for Shape Defect Detection
* 1999: Texture analysis using feature-based pairwise interaction maps
* 2000: Affine-invariant Texture Classification
* 2000: Comparison of Tracking Techniques Applied to Digital PIV
* 2000: Pattern regularity as a visual key
* 2000: Structural Defects: General Approach and Application to Textile Inspection
* 2001: Particle Image Velocimetry by Feature Tracking
* 2002: Finding defects in texture using regularity and local orientation
* 2002: Periodic Textures as Distinguished Regions for Wide-Baseline Stereo Correspondence
* 2002: trimmed iterative closest point algorithm, The
* 2003: Simple and Efficient Algorithm for Detection of High Curvature Points in Planar Curves, A
* 2004: Affine propagation for surface reconstruction in wide baseline stereo
* 2004: Enhanced surface reconstruction from wide baseline images
* 2004: Finding region correspondences for wide baseline stereo
* 2004: Photo-consistency based registration of an uncalibrated image pair to a 3D surface model using genetic algorithm
* 2004: Registration of an uncalibrated image pair to a 3d surface model
* 2004: Robust structure from motion under weak perspective
* 2005: Data Fusion for Photorealistic 3D Models
* 2005: Dynamic Texture Recognition Using Normal Flow and Texture Regularity
* 2005: Robust Euclidean Alignment of 3D Point Sets: The Trimmed Iterative Closest Point Algorithm
* 2006: Fast Synthesis of Dynamic Colour Textures
* 2006: On motion periodicity of dynamic textures
* 2006: Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm
* 2006: Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective
* 2006: Weak-perspective structure from motion for strongly contaminated data
* 2007: Analysis and performance evaluation of optical flow features for dynamic texture recognition
* 2007: Detecting Regions of Dynamic Texture
* 2007: Dynamic texture detection, segmentation and analysis
* 2009: Dynamic Texture Detection Based on Motion Analysis
* 2009: implicit non-linear numerical scheme for illumination-robust variational optical flow, An
* 2010: Approximation-free running SVD and its application to motion detection
* 2010: Experimental Study of Image Components and Data Metrics for Illumination-Robust Variational Optical Flow, An
* 2010: Illumination-robust variational optical flow using cross-correlation
* 2011: Dynamic texture as foreground and background
* 2012: Layer extraction in rodent retinal images acquired by optical coherence tomography
* 2012: Real-Time 4D Reconstruction of Human Motion
* 2014: 3D Reconstruction of Planar Patches Seen by Omnidirectional Cameras
* 2014: Quadratic Transformation for Planar Mapping of Implicit Surfaces
* 2017: Image-guided ToF depth upsampling: a survey
* 2018: Affine Correspondences Between Central Cameras for Rapid Relative Pose Estimation
* 2020: O3S-MTP: Oriented star sampling structure based multi-scale ternary pattern for texture classification
* 2021: Petersen Graph Multi-Orientation Based Multi-Scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition
Includes: Chetverikov, D. Chetverikov, D.[Dmitry]
60 for Chetverikov, D.