activity
20052020
most citedSingle Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss

142 citations · 142 across the 2 of their papers we have counts for

collaborators

14 papers

cs.RO2020

An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer

Carlos H. C. Pena, Mateus G. Machado, Mariana S. Barros +6

The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other. Traditionally, a deterministic coach agent wi…

eess.IV2020142 cited

Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss

Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari

Digital cameras can only capture a limited range of real-world scenes' luminance, producing images with saturated pixels. Existing single image high dynamic range (HDR) reconstruct…

cs.CV2019

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…

cs.CV2019

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…

cs.CV2019

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…

cs.CV2019

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…