Given a grayscale photograph, the colorization system estimates visually plausible colorful image. Conventional methods often use semantics to colorize images. However, in these methods, only classification semantic information is embedded, resulting confusion and color bleeding final colorized To address issues, we propose fully automatic Saliency Map-guided Colorization with Generative Advers...

It has been hypothesized that neural activities in the primary visual cortex (V1) represent a saliency map of the visual field to exogenously guide attention. This hypothesis has so far provided only qualitative predictions and their confirmations. We report this hypothesis' first quantitative prediction, derived without free parameters, and its confirmation by human behavioral data. The hypoth...

Saliency map generation in synthetic aperture radar (SAR) imagery has become a promising research area, since it has a close relationship with quick potential target identification, rescue services, etc. Due to the multiplicative speckle noise and complex backscattering in SAR imagery, producing satisfying results is still challenging. This paper proposes a new saliency map generation approach ...

We present a novel unified framework for both static and space-time saliency detection. Our method is a bottom-up approach and computes so-called local regression kernels (i.e., local descriptors) from the given image (or a video), which measure the likeness of a pixel (or voxel) to its surroundings. Visual saliency is then computed using the said "self-resemblance" measure. The framework resul...

Stomach bleeding is a kind of gastrointestinal disease which can be diagnosed noninvasively by wireless capsule endoscopy (WCE). However, it requires much time for physicians to scan large amount of WCE images. Alternatively, computer-assisted bleeding localization systems are developed where color, edge, and intensity features are defined to distinguish lesions from normal tissues. This paper ...

One important element of autonomy for mobile robots, both terrestrial and planetary, is the ability to search for and find targets of interest whether they be important for navigation, for science missions, for localization or for manipulation. In this paper, we introduce a novel method of autonomous visual search that exploits the use of attention in the form of a saliency map that is used to ...

We propose a biologically motivated novelty scene detection model that can indicate novelty of the scenes having affine transformed field of views in dynamic environment. Novelty detection can play an important role as an intrinsic motivation, which makes an autonomous mental development model try to obtain new information and adapt to changing environment. The proposed model has been developed...

This paper presents part of an on-going project to integrate perception, attention, drives, emotions, behavior arbitration, and expressive acts for a robot designed to interact socially with humans. We present the design of a visual attention system based on a model of human visual search behavior from Wolfe (1994). The attention system integrates perceptions (motion detection, color saliency, ...

This paper presents part of an on-going project to integrate perception, attention, drives, emotions, behavior arbitration, and expressive acts for a robot designed to interact socially with humans. We present the design of a visual attention system based on a model of human visual search behavior from Wolfe (1994). The attention system integrates perceptions (motion detection, color saliency, ...