Sukno, F.
* 2008: Automatic Construction of 3D-ASM Intensity Models by Simulating Image Acquisition: Application to Myocardial Gated SPECT Studies
* 2011: Order Statistic Based Cardiac Boundary Detection in 3D+t Echocardiograms
* 2019: Robust Facial Alignment with Internal Denoising Auto-Encoder
* 2021: Composite recurrent network with internal denoising for facial alignment in still and video images in the wild
* 2022: Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss
* 2023: Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition
Includes: Sukno, F. Sukno, F.[Federico]
Sukno, F.M.[Federico M.]
* 2005: Active Shape Models with Invariant Optimal Features (IOF-ASMs)
* 2006: Automatic Pose Correction for Local Feature-Based Face Authentication
* 2007: Active Shape Models with Invariant Optimal Features: Application to Facial Analysis
* 2007: Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics
* 2008: Reliability Estimation for Statistical Shape Models
* 2009: Automatic Assessment of Eye Blinking Patterns through Statistical Shape Models
* 2009: Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Left Ventricular, Biventricular and Whole Heart Cardiac Dynamics
* 2009: Confidence-Based Update Rule for Self-updating Human Face Recognition Systems, A
* 2009: Similarity-based Fisherfaces
* 2010: Multiscenario Multienvironment BioSecure Multimodal Database (BMDB), The
* 2010: Projective active shape models for pose-variant image analysis of quasi-planar objects: Application to facial analysis
* 2011: Sensitivity Analysis of Mesh Warping and Subsampling Strategies for Generating Large Scale Electrophysiological Simulation Data
* 2012: 3D Facial Landmark Localization Using Combinatorial Search and Shape Regression
* 2012: Comparing 3d Descriptors for Local Search of Craniofacial Landmarks
* 2012: Full Multiresolution Active Shape Models
* 2013: Compensating inaccurate annotations to train 3D facial landmark localization models
* 2013: High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT, A
* 2015: 3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features
* 2015: On the quantitative analysis of craniofacial asymmetry in 3D
* 2016: Weighted regularized ASM for face alignment
* 2017: Fusion of Valence and Arousal Annotations through Dynamic Subjective Ordinal Modelling
* 2017: Head Pose Estimation Based on 3-D Facial Landmarks Localization and Regression
* 2017: Local Shape Spectrum Analysis for 3D Facial Expression Recognition
* 2017: Local Shape Spectrum Analysis for 3D Facial Expression Recognition
* 2017: Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database
* 2018: 3D Head Pose Estimation Using Tensor Decomposition and Non-linear Manifold Modeling
* 2018: Automatic local shape spectrum analysis for 3D facial expression recognition
* 2018: Improving the Quality of Video-to-Language Models by Optimizing Annotation of the Training Material
* 2018: Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images, A
* 2018: Survey on automatic lip-reading in the era of deep learning
* 2019: Tensor Decomposition and Non-linear Manifold Modeling for 3D Head Pose Estimation
* 2020: Spectral Correspondence Framework for Building a 3D Baby Face Model
* 2023: BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
Includes: Sukno, F.M.[Federico M.] Sukno, F.M.
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