Aouache, M.[Mustapha]
* 2019: Low-Light Face Image Enhancement Based on Dynamic Face Part Selection
Aouad, T.[Theodore]
* 2022: Binary Morphological Neural Network
* 2022: Incrementally Semi-Supervised Classification of Arthritis Inflammation on a Clinical Dataset
Aouada, D.[Djamila]
* 2008: Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function
* 2009: Meaningful 3D shape partitioning using Morse functions
* 2010: Mahalanobis-based Adaptive Nonlinear Dimension Reduction
* 2010: Squigraphs for Fine and Compact Modeling of 3-D Shapes
* 2011: new multi-lateral filter for real-time depth enhancement, A
* 2011: Real-time hybrid ToF multi-camera rig fusion system for depth map enhancement
* 2012: Bilateral filter evaluation based on exponential kernels
* 2012: Depth Enhancement by Fusion for Passive and Active Sensing
* 2012: Spatio-temporal ToF data enhancement by fusion
* 2013: Depth Super-Resolution by Enhanced Shift and Add
* 2013: Dynamic super resolution of depth sequences with non-rigid motions
* 2013: Real-time depth enhancement by fusion for RGB-D cameras
* 2014: RGB-D Multi-view System Calibration for Full 3D Scene Reconstruction
* 2014: SPN2: Single-sided privacy preserving nearest neighbor and its application to face recognition
* 2014: Surface UP-SR for an improved face recognition using low resolution depth cameras
* 2015: Real-time non-rigid multi-frame depth video super-resolution
* 2015: Template-based statistical shape modelling on deformation space
* 2015: Unified multi-lateral filter for real-time depth map enhancement
* 2015: View-Independent Enhanced 3D Reconstruction of Non-rigidly Deforming Objects
* 2016: Enhancement of dynamic depth scenes by upsampling for precise super-resolution (UP-SR)
* 2016: revisit to human action recognition from depth sequences: Guided SVM-sampling for joint selection, A
* 2016: Similarity Metric for Curved Shapes in Euclidean Space
* 2016: Visual and Human-Interpretable Feedback for Assisting Physical Activity
* 2017: Deformation transfer of 3D human shapes and poses on manifolds
* 2017: Enhanced trajectory-based action recognition using human pose
* 2017: Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations
* 2017: Real-Time Enhancement of Dynamic Depth Videos with Non-Rigid Deformations
* 2017: Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion
* 2018: 3DBodyTex: Textured 3D Body Dataset
* 2018: Deformation Based Curved Shape Representation
* 2018: Highway Network Block with Gates Constraints for Training Very Deep Networks
* 2018: Pose Encoding for Robust Skeleton-Based Action Recognition
* 2019: BODYFITR: Robust Automatic 3D Human Body Fitting
* 2019: Two-Stage RGB-Based Action Detection Using Augmented 3D Poses
* 2020: 3D Sparse Deformation Signature for Dynamic Face Recognition
* 2020: DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera
* 2020: Fast Adaptive Reparametrization (FAR) With Application to Human Action Recognition
* 2020: Going Deeper With Neural Networks Without Skip Connections
* 2020: Pvdeconv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
* 2020: Space-time Triplet Loss Network for Dynamic 3d Face Verification
* 2020: Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO
* 2020: Towards Generalization of 3d Human Pose Estimation in the Wild
* 2021: Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects
* 2021: LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
* 2021: Revisiting the Training of Very Deep Neural Networks without Skip Connections
* 2021: Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition
* 2022: CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft
* 2022: Leveraging Equivariant Features for Absolute Pose Regression
* 2022: Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN)
* 2022: Tscom-net: Coarse-to-fine 3d Textured Shape Completion Network
* 2023: DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
* 2023: SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes
* 2023: SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
* 2024: Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
* 2024: Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric
* 2024: Self-Supervised Learning for Place Representation Generalization across Appearance Changes
Includes: Aouada, D.[Djamila] Aouada, D.
56 for Aouada, D.
Aouade, G.[Ghizlane]
* 2019: Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data
Aouadi, N.[Nabil]
* 2015: recognition based approach for segmenting touching components in Arabic manuscripts, A
Aouadi, S.[Souha]
* 2007: Accurate Mutual Information-based Registration of Digitized, An
* 2008: Accurate and precise 2D-3D registration based on X-ray intensity
Aouaidjia, K.
* 2021: Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates
Aouat, S.[Saliha]
* 2010: Matching Descriptors Of Noisy Outline Shapes
* 2010: Shape matching using coarse descriptors
* 2012: Matching Noisy Outline Contours Using a Descriptor Reduction Approach
* 2016: Efficient approach for iris recognition
Aouayeb, M.[Mouath]
* 2021: Micro-expression recognition from local facial regions
Aouayeb, S.[Souhaieb]
* 2022: Intelligent Video Surveillance for Animal Behavior Monitoring