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Found 10 papers, 2 papers with code
Deep Metric Structured Learning For Facial Expression Recognition
We propose a deep metric learning model to create embedded sub-spaces with a well defined structure.
J Regularization Improves Imbalanced Multiclass Segmentation
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions.
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion
Multi-Focus Image Fusion seeks to improve the quality of an acquired burst of images with different focus planes.
A Weakly Supervised Method for Instance Segmentation of Biological Cells
We present a weakly supervised deep learning method to perform instance segmentation of cells present in microscopy images.
FERAtt: Facial Expression Recognition with Attention Net
We present a new end-to-end network architecture for facial expression recognition with an attention model.
Facial Expression Recognition
Facial Expression Recognition (FER)
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Geometric Median Shapes
We present an algorithm to compute the geometric median of shapes which is based on the extension of median to high dimensions.
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
The quantitative analysis of cellular membranes helps understanding developmental processes at the cellular level.
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
We propose a new multiclass weighted loss function for instance segmentation of cluttered cells.
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem
SEGMENT3D is a comprehensive application that can be applied to other 3D imaging modalities and general objects.
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection
Automated segmentation approaches are crucial to quantitatively analyze large-scale 3D microscopy images.
