Chachada, S.[Sachin]
* 2011: Extension of Non-Local Means (NLM) algorithm with Gaussian filtering for highly noisy images
* 2016: two-stage shape retrieval (TSR) method with global and local features, A
Chachava, N.
* 2019: Combination of Terrestrial Laserscanning, UAV and Close-range Photogrammetry for 3d Reconstruction of Complex Churches in Georgia
Chachere, L.[Lawrence]
* 1993: Extracting a Domain Theory from Natural Language to Construct a Knowledge Base for Visual Recognition
Chachkhiani, N.[Natia]
* 2016: Vessel Detection on Cerebral Angiograms Using Convolutional Neural Networks
Chachlakis, D.G.
* 2018: Exact Solution to Rank-1 L1-Norm TUCKER2 Decomposition, The
Chachoua, M.
* 2013: Handling Imprecision in Qualitative Data Warehouse: Urban Building Sites Annoyance Analysis Use Case
Chachra, S.
* 2003: Writer identification using innovative binarised features of handwritten numerals
Chachula, K.[Krystian]
* 2023: Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns
Chacko, B.P.[Binu P.]
* 2010: Pre and Post Processing Approaches in Edge Detection for Character Recognition
Chacko, N.[Nikhil]
* 2013: Discretization of continuous convolution operators for accurate modeling of wave propagation in digital holography
* 2022: Impact of Ocean Currents on Wind Stress in the Tropical Indian Ocean
Includes: Chacko, N.[Nikhil] Chacko, N.[Neethu]
Chacko, R.
* 2020: PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction
* 2023: GETAvatar: Generative Textured Meshes for Animatable Human Avatars
Includes: Chacko, R. Chacko, R.[Rohan]
Chacko, S.[Shanty]
* 2021: modified capsule network algorithm for oct corneal image segmentation, A
Chacko, S.M.[Sonia M.]
* 2018: Simultaneous robustness against random initialization and optimal order selection in Bag-of-Words modeling
Chacon Cabrera, Y.[Yasser]
* 2014: Comparison of Fused Segmentation Algorithms for Iris Verification, A
* 2015: Iris Texture Description Using Ordinal Co-occurrence Matrix Features
Includes: Chacon Cabrera, Y.[Yasser] Chacon-Cabrera, Y.[Yasser] Chacón-Cabrera, Y.[Yasser]
Chacon Diaz, L.B.[Lucia B.]
* 2020: Human-like evaluation method for object motion detection algorithms
Includes: Chacon Diaz, L.B.[Lucia B.] Chacon-Diaz, L.B.[Lucia B.]
Chacon Murguia, M.[Mario]
* 2016: Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model
Includes: Chacon Murguia, M.[Mario] Chacon-Murguia, M.[Mario]
Chacon Murguia, M.I.[Mario I.]
* 2012: Human Sign Recognition for Robot Manipulation
* 2014: Segmentation of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms
* 2014: Thermal Image Processing for Breast Symmetry Detection Oriented to Automatic Breast Cancer Analysis
* 2015: Automatic Segmentation of Regions of Interest in Breast Thermographic Images
* 2015: Segmentation of video background regions based on a DTCNN-clustering approach
* 2015: Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios
* 2016: Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset
* 2017: Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update
* 2019: novel instrument to compare dynamic object detection algorithms, A
* 2020: Human-like evaluation method for object motion detection algorithms
* 2020: new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns, A
* 2021: DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects
Includes: Chacon Murguia, M.I.[Mario I.] Chacon-Murguia, M.I.[Mario I.] Chacon-Murguia, M.I. Chacon-Murguia, M.I.[Mario Ignacio]
12 for Chacon Murguia, M.I.
Chacon, J.[Juan]
* 2020: Understanding Motion in Sign Language: A New Structured Translation Dataset
Includes: Chacon, J.[Juan] Chacón, J.[Juan]
Chacon, K.M.[Kim M.]
* 1997: Image-based detection and tracking system and processing method employing clutter measurements and signal-to-clutter ratios
Chacon, M.
* 2003: Image processing using the PCNN time matrix as a selective filter
* 2006: Support Vector Machine with External Recurrences for Modeling Dynamic Cerebral Autoregulation
* 2007: Modification of the Growing Neural Gas Algorithm for Cluster Analysis
* 2011: Gray Box Model with an SVM to Represent the Influence of PaCO2 on the Cerebral Blood Flow Autoregulation
Includes: Chacon, M. Chacón, M.[Max]
Chacon, M.I.[Mario I.]
* 2007: Segmentation of Wheat Grains in Thermal Images Based on Pulse Coupled Neural Networks
* 2010: Nose bug egg geometric structure segmentation with anisotropic filtering and edge enhancement
Chacon, M.I.M.
* 2010: Traditional and neural probabilistic multispectral image processing for the dust aerosol detection problem
Chacra, D.A.[David Abou]
* 2022: Topology and Language of Relationships in the Visual Genome Dataset, The
Chacra, D.B.A.[David B. Abou]
* 2016: Road Segmentation in Street View Images Using Texture Information
* 2017: Fully Automated Road Defect Detection Using Street View Images
Chaczko, Z.
* 2015: Perceptual threshold in DWT for optimum embedding rate in data hiding using HVS and GA
* 2016: Human detection model using feature extraction method in video frames
* 2016: Improve data compression performance using wavelet transform based on HVS
* 2017: precise human detection model using combination of feature extraction techniques in a dynamic environment, A
* 2022: Novel Algorithm Modelling for UWB Localization Accuracy in Remote Sensing, A
Includes: Chaczko, Z. Chaczko, Z.[Zenon]