Index for wann

Wann, C.D. * 1997: Application of Self-Organizing Neural Networks to Multiradar Data Fusion

Wann, J.P. * 1900: Natural problems for stereoscopic depth perception in virtual environments

Wannasiri, W. * 2013: Extraction of Mangrove Biophysical Parameters Using Airborne-LiDAR

Wanne, M.[Merja] * 2008: practical approach to the 2D incremental nearest-point problem suitable for different point distributions, A

Wannenburg, J. * 2017: Physical Activity Recognition From Smartphone Accelerometer Data for User Context Awareness Sensing

Wannenwetsch, A.S. * 2017: ProbFlow: Joint Optical Flow and Uncertainty Estimation
* 2018: Stochastic Variational Inference with Gradient Linearization
* 2019: Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
* 2020: Probabilistic Pixel-Adaptive Refinement Networks
Includes: Wannenwetsch, A.S. Wannenwetsch, A.S.[Anne S.]

Wanner, E.F.[Elizabeth F.] * 2017: vision-based system to support tactical and physical analyses in futsal, A

Wanner, L.[Leo] * 2018: Improving the Quality of Video-to-Language Models by Optimizing Annotation of the Training Material
* 2018: On the role of syntactic dependencies and discourse relations for author and gender identification
* 2019: Automatic Classification and Linguistic Analysis of Extremist Online Material
* 2022: Imageability-Based Multi-modal Analysis of Urban Environments for Architects and Artists

Wanner, S.[Sven] * 2011: Generating EPI Representations of 4D Light Fields with a Single Lens Focused Plenoptic Camera
* 2012: Globally consistent depth labeling of 4D light fields
* 2012: Spatial and Angular Variational Super-Resolution of 4D Light Fields
* 2013: Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields
* 2013: Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images
* 2013: Variational Structure of Disparity and Regularization of 4D Light Fields, The
* 2014: Building camera arrays for light-field capture, display, and analysis
* 2014: Variational Light Field Analysis for Disparity Estimation and Super-Resolution
* 2017: Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms, A
Includes: Wanner, S.[Sven] Wanner, S.
9 for Wanner, S.

Wannez, S. * 2016: new computer vision-based system to help clinicians objectively assess visual pursuit with the moving mirror stimulus for the diagnosis of minimally conscious state, A

Wannous, H.[Hazem] * 2008: complete 3D wound assessment tool for accurate tissue classification and measurement, A
* 2008: Fusion of Multi-view Tissue Classification Based on Wound 3D Model
* 2011: Enhanced Assessment of the Wound-Healing Process by Accurate Multiview Tissue Classification
* 2012: Place Recognition via 3D Modeling for Personal Activity Lifelog Using Wearable Camera
* 2013: Extremal human curves: A new human body shape and pose descriptor
* 2013: Space-Time Pose Representation for 3D Human Action Recognition
* 2014: 3D human motion analysis framework for shape similarity and retrieval
* 2014: Grassmannian Representation of Motion Depth for 3D Human Gesture and Action Recognition
* 2015: 3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold
* 2015: Accurate 3D action recognition using learning on the Grassmann manifold
* 2016: 3D Hand Gesture Recognition by Analysing Set-of-Joints Trajectories
* 2016: Learning shape variations of motion trajectories for gait analysis
* 2016: Skeleton-Based Dynamic Hand Gesture Recognition
* 2017: Motion segment decomposition of RGB-D sequences for human behavior understanding
* 2018: Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features
* 2019: Heterogeneous hand gesture recognition using 3D dynamic skeletal data
* 2021: 2D Deep Video Capsule Network with Temporal Shift for Action Recognition
* 2021: Survey on Style in 3D Human Body Motion: Taxonomy, Data, Recognition and Its Applications
* 2022: FirstPiano: A New Egocentric Hand Action Dataset Oriented Towards Augmented Reality Applications
* 2022: PhyDAA: Physiological Dataset Assessing Attention
* 2022: Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG
* 2023: Capsule Transformer Network for Dynamic Hand Gesture Recognition Using Multimodal Data
* 2023: Dual Perspective of Human Motion Analysis: 3D Pose Estimation and 2D Trajectory Prediction, A
* 2023: STr-GCN: Dual Spatial Graph Convolutional Network and Transformer Graph Encoder for 3D Hand Gesture Recognition
Includes: Wannous, H.[Hazem] Wannous, H.
24 for Wannous, H.

Index for "w"


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