Cetin Atalay, R.
* 2013: Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images
* 2014: Special issue on microscopic image processing
Includes: Cetin Atalay, R. Cetin-Atalay, R. Cetin-Atalay, R.[Rengul]
Cetin, A.
* 2015: Projection-Based Wavelet Denoising
* 2020: Hierarchical Behavior Model for Multi-Agent System with Evasion Capabilities and Dynamic Memory
* 2020: Weighted Ensemble Object Detection with Optimized Coefficients for Remote Sensing Images
Includes: Cetin, A. Cetin, A.[Aydin] Çetin, A.[Aydin]
Cetin, A.B.[Ayse Betul]
* 2022: Deep Hotel Recommender System Using Aspect-based Sentiment Analysis of Users' Reviews
Cetin, A.E.
* 1993: Block wavelet transforms for image coding
* 1995: Adaptive Methods for Dithering Color Images
* 1995: Image coding with wavelet representations, edge information and visual masking
* 1995: Motion-compensated prediction based algorithm for medical image sequence compression
* 1996: morphological subband decomposition structure using GF(N) arithmetic, A
* 1996: Subband coding of binary textual images for document retrieval
* 1997: Adaptive Methods for Dithering Color Images
* 1997: Speaker Identification and Video Analysis for Hierarchical Video Shot Classification
* 1999: Influence function based Gaussianity tests for detection of microcalcifications in mammogram images
* 1999: Subband Domain Coding of Binary Textual Images for Document Archiving
* 2000: Adaptive Polyphase Subband Decomposition Structures for Image Compression
* 2001: Image Denoising Using Adaptive Subband Decomposition
* 2001: Lossless image compression by LMS adaptive filter banks
* 2001: Restoration of error-diffused images using projection onto convex sets
* 2003: Computationally efficient wavelet affine invariant functions for 2D object recognition
* 2003: Moving object detection in video by detecting non-Gaussian regions in subbands and active contours
* 2004: Computationally Efficient Wavelet Affine Invariant Functions for Shape Recognition
* 2004: Content-Based Retrieval of Historical Ottoman Documents Stored as Textual Images
* 2005: Flame Detection in Video Using Hidden Markov Models
* 2005: HMM Based Falling Person Detection Using Both Audio and Video
* 2005: Moving object detection in wavelet compressed video
* 2006: 2-D Orientation-Adaptive Prediction Filter in Lifting Structures for Image Coding, A
* 2006: Compression of Images in CFA Format
* 2006: Computer vision based method for real-time fire and flame detection
* 2006: Silhouette-Based Method for Object Classification and Human Action Recognition in Video
* 2007: Camera Tamper Detection Using Wavelet Analysis for Video Surveillance
* 2007: Connectivity-Guided Adaptive Lifting Transform for Image Like Compression of Meshes
* 2007: Dynamic texture detection, segmentation and analysis
* 2007: Edge-Sensing Predictor in Wavelet Lifting Structures for Lossless Image Coding, An
* 2007: Flexible test-bed for unusual behavior detection
* 2007: Online Detection of Fire in Video
* 2008: 3D Forest Fire Propagation Simulation
* 2008: Volatile Organic Compound Plume Detection Using Wavelet Analysis of Video
* 2010: 3D Model compression using Connectivity-Guided Adaptive Wavelet Transform built into 2D SPIHT
* 2010: Content-adaptive color transform for image compression
* 2010: Image Feature Extraction Using 2D Mel-Cepstrum
* 2010: Mel-cepstral methods for image feature extraction
* 2010: Motion Vector Based Features for Content Based Video Copy Detection
* 2011: Algebraic error analysis of collinear feature points for camera parameter estimation
* 2011: Special issue on dynamic textures in video
* 2012: Covariance matrix-based fire and flame detection method in video
* 2012: Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video
* 2012: Scalable image quality assessment with 2D mel-cepstrum and machine learning approach
* 2012: Sparsity Based Image Retrieval using relevance feedback
* 2013: Fall detection using single-tree complex wavelet transform
* 2014: AM/FM signal estimation with micro-segmentation and polynomial fit
* 2014: Content-based video copy detection based on motion vectors estimated using a lower frame rate
* 2014: Denoising using projections onto the epigraph set of convex cost functions
* 2014: Multi-scale directional-filtering-based method for follicular lymphoma grading
* 2014: Multi-scale directional-filtering-based method for follicular lymphoma grading
* 2014: Special issue on microscopic image processing
* 2015: Classifying fonts and calligraphy styles using complex wavelet transform
* 2015: Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PES-TV)
* 2015: Editorial: In Memoriam: Anastasios (Tas) N. Venetsanopoulos
* 2015: Multi-resolution super-pixels and their applications on fluorescent mesenchymal stem cells images using 1-D SIFT merging
* 2015: Real-time dynamic texture recognition using random sampling and dimension reduction
* 2016: Co-difference based object tracking algorithm for infrared videos
* 2016: Range resolution improvement in FM-based passive radars using deconvolution
* 2016: Sensors in Assisted Living: A survey of signal and image processing methods
* 2016: Signal Processing for Assisted Living: Developments and Open Problems
* 2017: Energy efficient cosine similarity measures according to a convex cost function
* 2017: Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement
* 2018: Honoring Murat Kunt
* 2018: Improved Image-Based Localization Using SFM and Modified Coordinate System Transfer
* 2019: Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI
* 2019: visual object tracking benchmark for cell motility in time-lapse imaging, A
* 2020: Additive neural network for forest fire detection
* 2020: Convulsive Movement Detection using Low-Resolution Thermopile Sensor Array
* 2020: Expression of concern in SIVP
* 2021: Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
* 2021: Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection
* 2022: Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire
* 2022: Microscale Image Enhancement Via PCA and Well-Exposedness Maps
Includes: Cetin, A.E. Cetin, A.E.[A. Enis] Çetin, A.E.[A. Enis] Çetin, A.E. Cetin, A.E.[Ahmet Enis] Cetin, A.E.[Arif E.]
73 for Cetin, A.E.
Cetin, E.
* 1998: QR-RLS algorithm for error diffusion of color images
* 2004: Eye tracking using Markov models
* 2004: Identification of insect damaged wheat kernels using transmittance images
* 2016: Interference Localization for Satellite Navigation Systems
* 2021: IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
* 2022: Flexible-Rate Learned Hierarchical Bi-Directional Video Compression with Motion Refinement and Frame-Level Bit Allocation
* 2023: Simple Recipe to Meta-Learn Forward and Backward Transfer, A
Includes: Cetin, E. Cetin, E.[Edoardo] Çetin, E.[Eren]
7 for Cetin, E.
Cetin, H.[Haluk]
* 2021: Linking Remotely Sensed Carbon and Water Use Efficiencies with In Situ Soil Properties
Cetin, H.I.
* 2012: Algorithm for Coastline Detection using SAR Images, An
* 2012: Approach to Find Localization of Non-Existent Historical Buildings By Terrestrial Photogrammetry, An
* 2012: Determining The Technical Standards of Ping Pong Table By Using Close Range Photogrammetry
Cetin, I.
* 2018: Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Cetin, M.
* 1997: Statistical Tomographic Approach to Synthetic Aperture Radar Image Reconstruction, A
* 1998: statistical method for discrimination of natural terrain types from SAR data, A
* 2000: Superresolution and Edge-preserving Reconstruction of Complex-valued Synthetic Aperture Radar Images
* 2001: Feature-Enhanced Synthetic Aperture Radar Image Formation Based on Nonquadratic Regularization
* 2002: curve evolution-based variational approach to simultaneous image restoration and segmentation, A
* 2002: Edge-preserving image reconstruction for coherent imaging applications
* 2002: Nonparametric methods for image segmentation using information theory and curve evolution
* 2003: Incorporating complex statistical information in active contour-based image segmentation
* 2004: Modeling traffic signal control using Petri nets
* 2005: nonparametric statistical method for image segmentation using information theory and curve evolution, A
* 2006: Variational Approaches on Discontinuity Localization and Field Estimation in Sea Surface Temperature and Soil Moisture
* 2007: Drowsy Driver Detection Through Facial Movement Analysis
* 2007: Nonparametric shape priors for active contour-based image segmentation
* 2008: Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
* 2010: Adaptive True Motion Estimation Algorithm for Frame Rate Conversion of High Definition Video, An
* 2010: AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces
* 2010: Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure Segmentation
* 2010: Design, Implementation and Evaluation of a Real-Time P300-based Brain-Computer Interface System
* 2010: Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions
* 2010: Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL: A Quantitative Approach
* 2010: Sparsity and Compressed Sensing in Radar Imaging
* 2011: Analytical Evaluation of the Error in Queue Length Estimation at Traffic Signals From Probe Vehicle Data
* 2011: graphical model based solution to the facial feature point tracking problem, A
* 2011: group sparsity-driven approach to 3-D action recognition, A
* 2011: Sparsity-driven image formation and space-variant focusing for SAR
* 2012: Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction, A
* 2012: Special Issue on Awards from ICPR 2010
* 2013: Sparsity-Driven Approach to Multi-Camera Tracking in Visual Sensor Networks, A
* 2014: Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features
* 2014: Combining learning-based intensity distributions with nonparametric shape priors for image segmentation
* 2014: Dictionary learning for sparsity-driven SAR image reconstruction
* 2014: Feature compression: A framework for multi-view multi-person tracking in visual sensor networks
* 2014: Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
* 2015: Augmented Lagrangian Method for image reconstruction with multiple features, An
* 2015: On the Quality and Timeliness of Fusion in a Random Access Sensor Network
* 2015: Sparsity-Driven Bandwidth-Efficient Decentralized Tracking in Visual Sensor Networks
* 2016: Context-aware hybrid classification system for fine-grained retail product recognition
* 2016: Dendritic Spine Shape Analysis: A Clustering Perspective
* 2016: Disjunctive normal level set: An efficient parametric implicit method
* 2016: MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors
* 2017: Disjunctive Normal Parametric Level Set With Application to Image Segmentation
* 2017: Nonparametric Joint Shape and Feature Priors for Image Segmentation
* 2017: Sparse representation-based algorithm for joint SAR image formation and autofocus
* 2018: Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation
* 2018: Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models
* 2019: From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
* 2019: Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors
* 2021: What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty
Includes: Cetin, M. Çetin, M.[Müjdat] Cetin, M.[Mujdat] Cetin, M.[Mert] Çetin, M.
48 for Cetin, M.
Cetin, M.S.[Mustafa S]
* 2015: Sensory load hierarchy-based classification of schizophrenia patients
Cetin, O.[Ozgur]
* 2007: SRI-ICSI Spring 2007 Meeting and Lecture Recognition System, The
Includes: Cetin, O.[Ozgur] Çetin, Ö.[Özgür]
Cetin, S.
* 2013: Vessel Tractography Using an Intensity Based Tensor Model With Branch Detection
* 2015: Higher-Order Tensor Vessel Tractography for Segmentation of Vascular Structures, A
Cetin, Y. .Y.[Yasemin Yardimci]
* 2020: Neural Network Based Pavement Condition Assessment with Hyperspectral Images
Includes: Cetin, Y. .Y.[Yasemin Yardimci] Çetin, Y. .Y.[Yasemin Yardimci]
Cetin, Y.Y.[Yasemin Yardimci]
* 2020: Catadioptric hyperspectral imaging, an unmixing approach
* 2024: Novel Semantic Content-Based Retrieval System for Hyperspectral Remote Sensing Imagery, A
Includes: Cetin, Y.Y.[Yasemin Yardimci] Çetin, Y.Y.[Yasemin Yardimci]
Cetin, Z.
* 2016: Classification Of Lidar Data With Point Based Classification Methods
* 2022: Use of Machine Learning Algorithms in Urban Tree Species Classification, The
Includes: Cetin, Z. Cetin, Z.[Zehra]
Cetina, K.[Kendrick]
* 2014: Comparative Study of Feature Descriptors for Mitochondria and Synapse Segmentation, A
Cetinaslan, O.[Ozan]
* 2016: Localized Verlet Integration Framework for Facial Models
Cetinel, Y.
* 2019: Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties
Cetingul, H.E.
* 2004: Discriminative lip-motion features for biometric speaker identification
* 2006: Discriminative Analysis of Lip Motion Features for Speaker Identification and Speech-Reading
* 2009: Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds
* 2014: Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering
* 2016: Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data
Includes: Cetingul, H.E. Cetingul, H.E.[Hasan Ertan] Çetingül, H.E.[Hasan E.]
Cetinic, E.[Eva]
* 2020: Iconographic Image Captioning for Artworks
* 2020: Learning the Principles of Art History with convolutional neural networks
Cetinkaya, B.[Bedrettin]
* 2022: Does depth estimation help object detection?
Cetinkaya, D.[Deniz]
* 2022: Decision-Support System for Safety and Security Assessment and Management in Smart Cities
* 2022: High-Level Feature Extraction for Crowd Behaviour Analysis: A Computer Vision Approach
Cetinkaya, E.
* 2005: Computer-Aided Placement of Deep Brain Stimulators: From Planning to Intraoperative Guidance
* 2020: FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning
* 2021: CTU depth decision algorithms for HEVC: A survey
* 2021: Towards Optimal Multirate Encoding for HTTP Adaptive Streaming
* 2022: ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming
* 2022: MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
Includes: Cetinkaya, E. Çetinkaya, E.[Ekrem]
Cetintas, O.[Orcun]
* 2021: MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
* 2022: Multi-Object Tracking and Segmentation Via Neural Message Passing
* 2023: Unifying Short and Long-Term Tracking with Graph Hierarchies
Cetintemel, G.D.
* 1998: Context-based Analysis and Reasoning on Vehicular Activities in SAR-EO Imagery
* 1998: On-the-Fly Road Tracking from video
* 1998: On-the-fly snake construction from video