Few-shot learning (FSL) has emerged as an effective learning method and shows great
potential. Despite the recent creative works in tackling FSL tasks, learning valid information …

We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …

Understanding and predicting the human visual attention mechanism is an active area of
research in the fields of neuroscience and computer vision. In this paper, we propose …

In this paper, we study the salient object detection problem for images. We formulate this
problem as a binary labeling task where we separate the salient object from the background …

Effective resizing of images should not only use geometric constraints, but consider the
image content as well. We present a simple image operator called seam carving that …

This study focused on how students perceive the use of mobile devices to create a
personalized learning experience outside the classroom. Fifty-three students in three …

Detection of salient image regions is useful for applications like image segmentation,
adaptive compression, and region-based image retrieval. In this paper we present a novel …

Visual attention analysis provides an alternative methodology to semantic image
understanding in many applications such as adaptive content delivery and region-based …

We present a" scale-and-stretch" warping method that allows resizing images into arbitrary
aspect ratios while preserving visually prominent features. The method operates by …