Chesakov, E.[Egor]
* 2019: Divergence Prior and Vessel-Tree Reconstruction
Cheselka, M.[Matthew]
* 1999: Technique for combining incoherent interferometric images
Cheshmehzangi, A.[Ali]
* 2022: Grain for Green Program Enhanced Synergies between Ecosystem Regulating Services in Loess Plateau, China, The
* 2022: Investigating the Changes in Urban Green-Space Patterns with Urban Land-Use Changes: A Case Study in Hangzhou, China
Cheshomi, A.
* 2019: Combined Use of Long-term Multi-sensor Insar Analysis and Finite Element Simulation to Predict Land Subsidence, The
Chesi, G.
* 1999: Collineation estimation from two unmatched views of an unknown planar contour for visual servoing
* 2000: On the Estimation of the Fundamental Matrix: A Convex Approach to Constrained Least-Squares
* 2002: Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach
* 2004: Simple Technique for Improving Camera Displacement Estimation in Eye-in-Hand Visual Servoing, A
* 2007: Image Noise Induced Errors in Camera Positioning
* 2009: 3D Model Reconstruction from Turntable Sequence with Multiple-View Triangulation
* 2009: Camera Displacement via Constrained Minimization of the Algebraic Error
* 2009: Robust Detection and Tracking of Multiple Moving Objects with 3D Features by an Uncalibrated Monocular Camera
* 2010: EVP-Based Multiple-View Triangulation
* 2010: Projective reconstruction of ellipses from multiple images
* 2010: Visual Servoing via Advanced Numerical Methods
* 2011: Fast multiple-view L2 triangulation with occlusion handling
* 2021: Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
Includes: Chesi, G. Chesi, G.[Graziano]
13 for Chesi, G.
Chesnakov, K.
* 2017: CNN Based Retinal Image Upscaling Using Zero Component Analysis
* 2018: Vessel Preserving CNN-Based Image Resampling of Retinal Images
Includes: Chesnakov, K. Chesnakov, K.[Konstantin]
Chesnaud, C.[Christophe]
* 1999: Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models
Chesneau, C.
* 2009: Image deconvolution by stein block thresholding
Chesneau, N.[Nicolas]
* 2018: Learning From Web Videos for Event Classification
Chesnevar, C.I.[Carlos Ivan]
* 2012: Automatic vehicle identification for Argentinean license plates using intelligent template matching
Includes: Chesnevar, C.I.[Carlos Ivan] Chesńevar, C.I.[Carlos Iván]
Chesnokov, S.
* 2019: Image Super-Resolution Using CNN Optimised By Self-Feature Loss
Chess, J.[James]
* 2021: Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
Chessa, M.
* 2008: Motion Interpretation Using Adjustable Linear Models.
* 2009: Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation, A
* 2011: Quantitative Comparison of Speed and Reliability for Log-Polar Mapping Techniques, A
* 2012: Design strategies for direct multi-scale and multi-orientation feature extraction in the log-polar domain
* 2013: Adjustable linear models for optic flow based obstacle avoidance
* 2014: Calibrated depth and color cameras for accurate 3D interaction in a stereoscopic augmented reality environment
* 2014: Detection of 3D position of eyes through a consumer RGB-D camera for stereoscopic mixed reality environments
* 2014: integrated neuromimetic architecture for direct motion interpretation in the log-polar domain, An
* 2015: Local Feature Extraction in Log-Polar Images
* 2015: What can we expect from a V1-MT feedforward architecture for optical flow estimation?
* 2016: integrated artificial vision framework for assisting visually impaired users, An
* 2018: Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilities of Elderly People
* 2019: Assessment of Optical See-Through Head Mounted Display Calibration for Interactive Augmented Reality
* 2020: WebGL Virtual Reality Exergame for Assessing the Cognitive Capabilities of Elderly People: A Study About Digital Autonomy for Web-based Applications, A
* 2023: Obstacle Avoidance and Interaction in Extended Reality: An Approach Based on 3d Object Detection
Includes: Chessa, M. Chessa, M.[Manuela]
15 for Chessa, M.
Chessa, S.[Stefano]
* 2008: User-centric universal multimedia access in home networks
* 2013: Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems
* 2015: stigmergic approach to indoor localization using Bluetooth Low Energy beacons, A
Includes: Chessa, S.[Stefano] Chessa, S.
Chessel, A.[Anatole]
* 2006: Interpolating Orientation Fields: An Axiomatic Approach
* 2006: Orientation Interpolation and Applications
* 2006: Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images
* 2008: 2D Image-based reconstruction of shape deformation of biological structures using a level-set representation
* 2009: Computational Geometry-Based Scale-Space and Modal Image Decomposition Application to Light Video-Microscopy Imaging
* 2015: Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random Fields
* 2017: GANs for Biological Image Synthesis
* 2018: Neural Cell Segmentation in Large-Scale 3D Color Fluorescence Microscopy Images for Developemental Neuroscience
* 2023: NU-Net: a self-supervised smart filter for enhancing blobs in bioimages
Includes: Chessel, A.[Anatole] Chessel, A.
9 for Chessel, A.
Chester, D.[Daniel]
* 1998: Color and three-dimensional vision-based assistive telemanipulation
Chester, E.
* 1997: Contour Detection Using Multi-Scale Active Shape Models
Chester, T.W.J.
* 2021: Use of Mobile EEG in Decoding Hand Movement Speed and Position