Search Results for author:
Found 15 papers, 7 papers with code
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other.
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples
In this paper, we argue that the unsatisfactory out-of-distribution (OOD) detection performance of neural networks is mainly due to the SoftMax loss anisotropy and propensity to produce low entropy probability distributions in disagreement with the principle of maximum entropy.
Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss
Since the number of HDR images for training is limited, we propose to train our system in two stages.
Inverse-Tone-Mapping
Image and Video Processing
Graphics
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.
Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy
Consequently, we propose IsoMax, a loss that is isotropic (distance-based) and produces high entropy (low confidence) posterior probability distributions despite still relying on cross-entropy minimization.
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)
+1
2D/3D Megavoltage Image Registration Using Convolutional Neural Networks
We presented a 2D/3D MV image registration method based on a Convolutional Neural Network.
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence
Dynamic classifier selection systems aim to select a group of classifiers that is most adequate for a specific query pattern.
Burst ranking for blind multi-image deblurring
The primary motivation is that current bursts deblurring methods do not handle well situations in which misalignment or out-of-context frames are present in the burst.
Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks
The objective of this work is to propose a new fast and robust method for automatic ColorChecker detection.
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
The meta-features are extracted from the training data and used to train a meta-classifier to predict whether or not a base classifier is competent enough to classify an input instance.
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
We propose a new multiclass weighted loss function for instance segmentation of cluttered cells.
