6 papers
J Regularization Improves Imbalanced Multiclass Segmentation
Fidel A. Guerrero Peña, Pedro D. Marrero Fernandez, Paul T. Tarr +3
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions. We improve the separation of touching and im…
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion
Fidel Alejandro Guerrero Peña, Pedro Diamel Marrero Fernández, Tsang Ing Ren +2
Multi-Focus Image Fusion seeks to improve the quality of an acquired burst of images with different focus planes. For solving the task, an activity level measurement and a fusion r…
A Weakly Supervised Method for Instance Segmentation of Biological Cells
Fidel A. Guerrero-Peña, Pedro D. Marrero Fernandez, Tsang Ing Ren +1
We present a weakly supervised deep learning method to perform instance segmentation of cells present in microscopy images. Annotation of biomedical images in the lab can be scarce…
FERAtt: Facial Expression Recognition with Attention Net
Pedro D. Marrero Fernandez, Fidel A. Guerrero Peña, Tsang Ing Ren +1
We present a new end-to-end network architecture for facial expression recognition with an attention model. It focuses attention in the human face and uses a Gaussian space represe…
Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks
Pedro D. Marrero Fernandez, Fidel A. Guerrero-Peña, Tsang Ing Ren +1
ColorCheckers are reference standards that professional photographers and filmmakers use to ensure predictable results under every lighting condition. The objective of this work is…
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
Fidel A. Guerrero-Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren +3
We propose a new multiclass weighted loss function for instance segmentation of cluttered cells. We are primarily motivated by the need of developmental biologists to quantify and…