| Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data | 0 | 0.34 | 2022 |
| Recovering Trajectories Of Unmarked Joints In 3d Human Actions Using Latent Space Optimization | 1 | 0.35 | 2021 |
| AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification | 0 | 0.34 | 2020 |
| Topological Descriptors For Parkinson'S Disease Classification And Regression Analysis | 0 | 0.34 | 2020 |
| PI-Net - A Deep Learning Approach to Extract Topological Persistence Images. | 0 | 0.34 | 2020 |
| A Framework for Interpretable Full-Body Kinematic Description using Geometric and Functional Analysis. | 0 | 0.34 | 2020 |
| Unsupervised Pre-Trained Models From Healthy Adls Improve Parkinson'S Disease Classification Of Gait Patterns | 0 | 0.34 | 2020 |
| Temporal Transformer Networks: Joint Learning Of Invariant And Discriminative Time Warping | 3 | 0.36 | 2019 |
| Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems | 0 | 0.34 | 2019 |
| An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation | 0 | 0.34 | 2019 |
| PrOSe - Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. | 0 | 0.34 | 2019 |
| Rank-Regularized Measurement Operators For Compressive Imaging | 0 | 0.34 | 2019 |
| PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. | 0 | 0.34 | 2019 |
| An REU Experience in Machine Learning and Computational Cameras | 0 | 0.34 | 2019 |
| Non-Parametric Priors For Generative Adversarial Networks. | 0 | 0.34 | 2019 |
| Adaptive Video Subsampling For Energy-Efficient Object Detection | 0 | 0.34 | 2019 |
| SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. | 0 | 0.34 | 2019 |
| Shading prediction, fault detection, and consensus estimation for solar array control | 4 | 0.46 | 2018 |
| Predicting Dynamical Evolution of Human Activities From a Single Image. | 0 | 0.34 | 2018 |
| Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. | 7 | 0.44 | 2018 |
| Compressive Light Field Reconstructions Using Deep Learning. | 0 | 0.34 | 2018 |
| Rate-Adaptive Neural Networks for Spatial Multiplexers. | 1 | 0.37 | 2018 |
| Fast Non-Linear Methods For Dynamic Texture Prediction | 0 | 0.34 | 2018 |
| Introduction to the Special Issue on Representation, Analysis, and Recognition of 3D Humans. | 0 | 0.34 | 2018 |
| Representation, Analysis, and Recognition of 3D Humans: A Survey. | 6 | 0.42 | 2018 |
| Tracking, Animating, and 3D Printing Elements of the Fine Arts Freehand Drawing Process. | 0 | 0.34 | 2018 |
| Cs-Vqa: Visual Question Answering With Compressively Sensed Images | 0 | 0.34 | 2018 |
| Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. | 0 | 0.34 | 2018 |
| Multiple Subspace Alignment Improves Domain Adaptation | 0 | 0.34 | 2018 |
| A Cyber-Physical System Approach For Photovoltaic Array Monitoring And Control | 0 | 0.34 | 2017 |
| Elastic Functional Coding of Riemannian Trajectories. | 8 | 0.45 | 2017 |
| Learning Invariant Riemannian Geometric Representations Using Deep Nets. | 0 | 0.34 | 2017 |
| A Cyber-Physical Photovoltaic Array Monitoring and Control System | 4 | 0.74 | 2017 |
| Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity. | 0 | 0.34 | 2017 |
| Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis | 0 | 0.34 | 2017 |
| ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements | 12 | 0.58 | 2016 |
| Direct Classification From Compressively Sensed Images Via Deep Boltzmann Machine | 0 | 0.34 | 2016 |
| Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds | 4 | 0.39 | 2016 |
| A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. | 1 | 0.35 | 2016 |
| Fast Integral Image Estimation at 1% measurement rate. | 1 | 0.36 | 2016 |
| ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. | 0 | 0.34 | 2016 |
| Component-Level Tuning of Kinematic Features from Composite Therapist Impressions of Movement Quality. | 1 | 0.36 | 2016 |
| Riemannian Geometric Approaches for Measuring Movement Quality. | 0 | 0.34 | 2016 |
| Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter sampling by incorporating domain knowledge. | 2 | 0.38 | 2016 |
| Motion, Captured: an Open Repository for Comparative Movement Studies. | 0 | 0.34 | 2016 |
| Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference. | 7 | 0.45 | 2016 |
| Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms. | 1 | 0.35 | 2016 |
| Reconstruction-free action inference from compressive imagers. | 20 | 0.90 | 2015 |
| Reconstruction-free inference on compressive measurements | 7 | 0.49 | 2015 |
| Dynamical Regularity for Action Analysis. | 4 | 0.52 | 2015 |
