In this paper, we propose an encoder-decoder convolutional neural network (CNN)
architecture for estimating camera pose (orientation and location) from a single RGB image …

Saliency computation models aim to imitate the attention mechanism in the human visual
system. The application of deep neural networks for saliency prediction has led to a drastic …

In this paper, we propose a novel data augmentation technique (ANDA) applied to the
Salient Object Detection (SOD) context. Standard data augmentation techniques proposed …

In this paper, we propose a broad comparison between Fully Convolutional Networks
(FCNs) and Mask Region-based Convolutional Neural Networks (Mask-RCNNs) applied in …

Co-Detection is an important problem in computer vision, which involves detecting common
objects from multiple images. In this paper, we address the co-detection problem and …

Face recognition technology has become a popular research topic in the fields of pattern
recognition, image processing, and computer vision. However, the face recognition accuracy …

In many computer vision tasks, for example saliency prediction or semantic segmentation,
the desired output is a foreground map that predicts pixels where some criteria is satisfied …

The paper adopts two different convolution sampling paths: from large scale to small scale
sampling (top-down) and small scale to large scale sampling (bottom-up), and propose the …

This paper describes how to design a multiagent-based education system for navigation
training. The paper addresses several important issues in designing multiagent e-education …

This paper investigates the use of fuzzy decision-making in predictive control. The use of
fuzzy goals and fuzzy constraints in predictive control allows for a more flexible aggregation …