Image-text matching plays a critical role in bridging the vision and language, great progress has been made by exploiting global alignment between image sentence, or local alignments regions words. However, how to make most of these infer more accurate scores is still underexplored. In this paper, we propose novel Similarity Graph Reasoning Attention Filtration (SGRAF) network for image-text ma...

Particle picking is a crucial first step in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM). Selecting particles from the micrographs is difficult especially for small particles with low contrast. As high-resolution reconstruction typically requires hundreds of thousands of particles, manually picking that many particles is often too time-consuming. While semi-a...

This paper presents a method with which 3D images of tire track and footprint impressions at crime scenes can be captured with high fidelity, while capturing high resolution 2D color texture images simultaneously. The resulting device is portable, easy to use, is non-destructive of the evidence, and saves time at crime scenes. The same technique can also be used in the laboratory to create 3D d...

A probabilistic definition of saliency is given in a form suitable for applications to image matching. In order to make this definition, the values of the pixels in pairs of matching regions are modeled using an elliptically symmetric distribution (ESD). The values of the pixels in background pairs of regions are also modeled using an ESD. If a region is given in one image, then the conditional...

In this paper we present a very general approach to indexing and retrieval of images in image database systems. We allow different ways of indexing and matching for objects in an image, and integrate them with our existing approach of the generalized extended pseudo-2D string and generalized combined 2D string representation of the image to formulate a more general framework for iconic indexing...

An image stored in image database systems is assumed to be associated with some content-based meta-data about that image, that is, information about objects in the image and absolute/relative spatial relationships among them. An image query for such an image database system can generally be handled in two ways: exact picture matching and approximate picture matching. In this paper we show the i...

introduction: content based image retrieval (cbir) is a method of image searching and retrieval in a  database. in medical applications, cbir is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. as the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...