90 citations · 95 across the 6 of their papers we have counts for
9 papers
Deep Metric Structured Learning For Facial Expression Recognition
Pedro D. Marrero Fernandez, Tsang Ing Ren, Tsang Ing Jyh +2
We propose a deep metric learning model to create embedded sub-spaces with a well defined structure. A new loss function that imposes Gaussian structures on the output space is int…
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…
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
Dennis Eschweiler, Thiago V. Spina, Rohan C. Choudhury +3
The quantitative analysis of cellular membranes helps understanding developmental processes at the cellular level. Particularly 3D microscopic image data offers valuable insights i…