| Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction | 0 | 0.34 | 2022 |
| Deep Fisher Vector Coding For Whole Slide Image Classification | 0 | 0.34 | 2021 |
| Unknown-Box Approximation to Improve Optical Character Recognition Performance | 0 | 0.34 | 2021 |
| Layer Importance Estimation with Imprinting for Neural Network Quantization | 0 | 0.34 | 2021 |
| One-Shot Layer-Wise Accuracy Approximation For Layer Pruning | 0 | 0.34 | 2020 |
| River Ice Segmentation With Deep Learning | 1 | 0.36 | 2020 |
| Foreground-Focused Domain Adapt On For Object Detection | 0 | 0.34 | 2020 |
| DRMIME - Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration. | 0 | 0.34 | 2020 |
| Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder | 0 | 0.34 | 2020 |
| Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network | 0 | 0.34 | 2020 |
| A Flexible Method for Performance Evaluation of Robot Localization. | 0 | 0.34 | 2020 |
| Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation. | 0 | 0.34 | 2020 |
| Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. | 0 | 0.34 | 2020 |
| To Filter Prune, or to Layer Prune, That Is the Question. | 0 | 0.34 | 2020 |
| River Ice Segmentation with Deep Learning. | 1 | 0.36 | 2019 |
| Fast Large-Scale Spectral Clustering via Explicit Feature Mapping. | 6 | 0.41 | 2019 |
| Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection. | 2 | 0.39 | 2018 |
| Object Classification with Joint Projection and Low-rank Dictionary Learning. | 4 | 0.37 | 2018 |
| Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet. | 0 | 0.34 | 2018 |
| End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation. | 0 | 0.34 | 2018 |
| Generative Adversarial Networks Using Adaptive Convolution | 0 | 0.34 | 2018 |
| Cell Detection with Deep Convolutional Neural Network and Compressed Sensing. | 0 | 0.34 | 2017 |
| Error bound of Nyström-approximated NCut eigenvectors and its application to training size selection. | 0 | 0.34 | 2017 |
| Recurrent Fully Convolutional Networks for Video Segmentation | 9 | 0.44 | 2017 |
| Automated 3d Muscle Segmentation From Mri Data Using Convolutional Neural Network | 0 | 0.34 | 2017 |
| A Structured Deep-Learning Based Approach for the Automated Segmentation of Human Leg Muscle from 3D MRI | 0 | 0.34 | 2017 |
| A Two-Stage Minimum Spanning Tree (Mst) Based Clustering Algorithm For 2d Deformable Registration Of Time Sequenced Images | 0 | 0.34 | 2017 |
| Convolutional Gated Recurrent Networks For Video Segmentation | 1 | 0.35 | 2017 |
| Face Recognition Using Multi-Modal Low-Rank Dictionary Learning | 1 | 0.36 | 2017 |
| Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm. | 0 | 0.34 | 2017 |
| Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net. | 0 | 0.34 | 2017 |
| Convolutional gated recurrent networks for video semantic segmentation in automated driving | 0 | 0.34 | 2017 |
| A Novel Framework To Integrate Convolutional Neural Network With Compressed Sensing For Cell Detection | 0 | 0.34 | 2017 |
| Synthetic Viewpoint Prediction | 0 | 0.34 | 2016 |
| MISTICA: Minimum Spanning Tree-Based Coarse Image Alignment for Microscopy Image Sequences. | 0 | 0.34 | 2016 |
| Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints. | 0 | 0.34 | 2016 |
| Cell Counting by Regression Using Convolutional Neural Network. | 9 | 0.89 | 2016 |
| Robust people counting using sparse representation and random projection | 7 | 0.45 | 2015 |
| Joint Feature Selection with Low-rank Dictionary Learning. | 2 | 0.36 | 2015 |
| VFCCV snake: A novel active contour model combining edge and regional information | 1 | 0.39 | 2014 |
| Counting cells from microscopy videos without tracking individual cells | 1 | 0.35 | 2014 |
| People counting with image retrieval using compressed sensing | 3 | 0.37 | 2014 |
| Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees | 1 | 0.41 | 2014 |
| AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. | 2 | 0.38 | 2013 |
| Cell tracking in microscopic video using matching and linking of bipartite graphs. | 11 | 0.75 | 2013 |
| Adaptive shape prior in graph cut image segmentation | 6 | 0.45 | 2013 |
| Tracking Objects with Rigid Body Templates: An Iterative Constrained Linear Least Squares Approach. | 0 | 0.34 | 2013 |
| Shape based appearance model for kernel tracking | 6 | 0.48 | 2012 |
| Contour Interpolation Using Level-Set Analysis | 1 | 0.35 | 2012 |
| Shape based local thresholding for binarization of document images | 7 | 0.46 | 2012 |
