Index for vals

Valsala, V.[Vinu] Co Author Listing * Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations

Valsamis, I. Co Author Listing * Measurement System for a Magnetostrictive Torque Sensor

Valsasina, P.[Paola] Co Author Listing * Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification
* Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain Lesion Volume Estimation in Multiple Sclerosis
* Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis, An
Includes: Valsasina, P.[Paola] Valsasina, P. Valsasina, P.[Paula]

Valsasna, A. Co Author Listing * hierarchical classification strategy for digital documents, A

Valsecchi, A.[Andrea] Co Author Listing * 3D-2D silhouette-based image registration for comparative radiography-based forensic identification
* Stochastic 3D rock reconstruction using GANs

Valsesia, D.[Diego] Co Author Listing * Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections
* Binary Adaptive Embeddings From Order Statistics of Random Projections
* Deep Graph-Convolutional Image Denoising
* DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
* hardware-friendly architecture for onboard rate-controlled predictive coding of hyperspectral and multispectral images, A
* High-Throughput Onboard Hyperspectral Image Compression With Ground-Based CNN Reconstruction
* Image Denoising with Graph-Convolutional Neural Networks
* Large-Scale Image Retrieval Based on Compressed Camera Identification
* Learning Graph-convolutional Representations for Point Cloud Denoising
* Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks
* NIR Image Colorization with Graph-Convolutional Neural Networks
* Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images, A
* ToothPic: Camera-Based Image Retrieval on Large Scales
Includes: Valsesia, D.[Diego] Valsesia, D.
13 for Valsesia, D.

Valstar, E.R.[Edward R.] Co Author Listing * Towards computer-assisted surgery in shoulder joint replacement
* use of Roentgen stereophotogrammetry to study micromotion of orthopaedic implants, The

Valstar, M.[Michel] Co Author Listing * Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning
* Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset, The
* ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016
* Clinical Scene Segmentation with Tiny Datasets
* CNN Cascade for Landmark Guided Semantic Part Segmentation, A
* Deep Learned Cumulative Attribute Regression
* Dynamic Facial Models for Video-Based Dimensional Affect Estimation
* EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions
* Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
* Guest Editorial: The Computational Face
* Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features
* Predicting Folds in Poker Using Action Unit Detectors and Decision Trees
* recurrent cycle consistency loss for progressive face-to-face synthesis, A
* Self-supervised learning of Dynamic Representations for Static Images
* Visual Object Tracking VOT2016 Challenge Results, The
Includes: Valstar, M.[Michel] Valstar, M.
15 for Valstar, M.

Valstar, M.F.[Michel F.] Co Author Listing * Action unit detection using sparse appearance descriptors in space-time video volumes
* Automatic Analysis of Facial Actions: A Survey
* Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data
* Building Autonomous Sensitive Artificial Listeners
* Cascaded Continuous Regression for Real-Time Incremental Face Tracking
* Cascaded regression with sparsified feature covariance matrix for facial landmark detection
* Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
* Come and have an emotional workout with sensitive artificial listeners!
* Cost-effective solution to synchronised audio-visual data capture using multiple sensors
* Cost-Effective Solution to Synchronized Audio-Visual Capture Using Multiple Sensors
* Decision Level Fusion of Domain Specific Regions for Facial Action Recognition
* Deep learning the dynamic appearance and shape of facial action units
* Detection of Concept Frames Using Clustering Multi-instance Learning, The
* Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling, A
* Emotionally aware automated portrait painting demonstration
* Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data
* Facial point detection using boosted regression and graph models
* FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge
* first facial expression recognition and analysis challenge, The
* Fully Automatic Facial Action Unit Detection and Temporal Analysis
* Fully Automatic Recognition of the Temporal Phases of Facial Actions
* Functional Regression Approach to Facial Landmark Tracking, A
* Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking, A
* Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild
* L2,1-based regression and prediction accumulation across views for robust facial landmark detection
* Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection
* Local Evidence Aggregation for Regression-Based Facial Point Detection
* Meta-Analysis of the First Facial Expression Recognition Challenge
* MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation
* Postnatal gestational age estimation of newborns using Small Sample Deep Learning
* SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent, The
* Small Sample Deep Learning for Newborn Gestational Age Estimation
* String-based audiovisual fusion of behavioural events for the assessment of dimensional affect
* TRIC-track: Tracking by Regression with Incrementally Learned Cascades
Includes: Valstar, M.F.[Michel F.] Valstar, M.F.
34 for Valstar, M.F.

Index for "v"

Last update: 9-Jun-21 21:30:16
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