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Attribute-based recognition models, due to their impressive performance and their ability to generalize well on novel categories, have been widely adopted for many computer vision applications. However, usually both the attribute vocabulary and the class-attribute associations have to be provided manually by domain experts or large number of annotators. This is very costly and not necessarily optimal...
Visual attention is a dynamic search process of acquiring information. However, most previous studies have focused on the prediction of static attended locations. Without considering the temporal relationship of fixations, these models usually cannot explain the dynamic saccadic behavior well. In this paper, an iterative representation learning framework is proposed to predict the saccadic scanpath...
This paper presents a framework for saliency estimation and fixation prediction in videos. The proposed framework is based on a hierarchical feature representation obtained by stacking convolutional layers of independent subspace analysis (ISA) filters. The feature learning is thus unsupervised and independent of the task. To compute the saliency, we then employ a multiresolution saliency architecture...
In this paper, we propose a method for improving the maneuverability of master-slave systems. We aim at reproducing human skillfulness and dynamic performance in master-slave robots by using assist control for human operators. In this paper, we tackle a reaching task performed by a master-slave robot and propose an operation assist algorithm based on visual feedback control. The algorithm consists...
In this paper, we tackle the problem of no-reference image quality assessment. This paper proposes a non-distortion-specific image quality evaluator, i.e., deep learning based blind image quality index DL-BIQI, which trained several deep models to estimate the visual quality. Since different distortion types lead to the different influence on images, each model is designed for a specific distortion...
An automated approach for near-real time simulation and geo-visualization of flooding, including estimation of affected infrastructures, in Lake Mainit, considered the Philippines' deepest lake is presented. Perennial flooding in several areas around the lake due to increase in the lake's water level during the rainy season and during the passing of tropical storms exemplified the need for rapid determination...
Software Cost Estimation (SCE) is a process related to the well-balanced management of a software project. Despite the evolving research activity, the task of estimating accurately the budget and the delivering time has been a research problem for many decades. Nowadays, the cost of a project is still estimated with error. The study of the error produced by estimation models or techniques has been...
A model of visual masking, which reveals the visibility of stimuli in the human visual system (HVS), is useful in perceptual based image/video processing. The existing visual masking function mainly considers luminance contrast, which always overestimates the visibility threshold of the edge region and underestimates that of the texture region. Recent research on visual perception indicates that the...
This work addresses the problem of constructing an effective training set at minimal labeling cost by selecting some images to build a subset from the whole database. This problem occurs in situations that the number of categories is large or the cost of obtaining labeled images is extremely high, because the images selected by uniform sampling do not reflect the desired training distribution and...
The importance of quality service in Higher Education Institutions (HEI) has increased in recent years. Educational institutions need to assess and enhance their activities, in order to provide a balance of educational capacity and educational supply, and to measure future capability as well as past performance. In this direction the design and adoption of a well-informed strategic management will...
A case is made for the following claims. Higher animals have evolved the ability to make predictions because it increases their chance of survival. The basic steps in the prediction process are - registration of the internal spatial model with the world, initialization of salient objects (including actors) within the world model, projection of actor behaviors and movements through time, and assessment...
The research presented in this paper aims at developing and validating a predictive tool of individual exposure to solar Ultra-Violet (UV). UV exposure depends on ambient irradiation level and individual factors related to activity (position to the sun, clothing, duration of exposure, and other forms of sun protection). We predict exposure levels of body parts on basis of ambient irradiation levels...
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