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In the pursuit of an effective spam detection system, the focus has often been on identifying known spam patterns either through rule-based detection systems or machine learning (ML) solutions that rely on keywords. However, both systems are susceptible ...

Millions of trademarks were registered last year in China, and thousands of applications are submitted daily. A trademark must be unique in the category it belongs to. Therefore, each new trademark application needs to be checked against all the existing ...

In recent years, phishing websites and other fake domain name attacks have become more frequent, posing a serious threat to the security of society and individuals. Fake domain name detection has become an important part of network protection. At present, ...

Nowadays, the Internet is developing rapidly, and the types of websites are more abundant than in previous decades. However, people face more significant network security risks, and the losses caused by phishing websites are even more severe. Phishing ...

Phishing websites are still a major threat in today's Internet ecosystem. Despite numerous previous efforts, similarity-based detection methods do not offer sufficient protection for the trusted websites, in particular against unseen phishing pages. ...

Transferring deformation from a source shape to a target shape is a very useful technique in computer graphics. State-of-the-art deformation transfer methods require either point-wise correspondences between source and target shapes, or pairs of ...

Farfetch is a global fashion marketplace with a catalog that, at any time, has over 200 000 products spanning over 2000 brands from luxury boutiques all around the world. Finding the right product to the right customer is a challenge that, we, as Data ...

Mobile application spoofing is an attack where a malicious mobile app mimics the visual appearance of another one. A common example of mobile application spoofing is a phishing attack where the adversary tricks the user into revealing her password to a ...

Most phishing pages try to convince users that they are legitimate sites by imitating visual signals like logos from the websites they are targeting. Visual similarity detection methods look for these imitations between the screen-shots of the suspect ...

This paper focuses on a practically very important problem of matching a real-world product photo to exactly the same item(s) in online shopping sites. The task is extremely challenging because the user photos (i.e., the queries in this scenario) are ...

Referring to existing illustrations helps novice drawers to realize their ideas. To find such helpful references from a large image collection, we first build a semantic vector representation of illustrations by training convolutional neural networks. ...

Popular sites like Houzz, Pinterest, and LikeThatDecor, have communities of users helping each other answer questions about products in images. In this paper we learn an embedding for visual search in interior design. Our embedding contains two ...

With the proliferation of large-scale social images, recent years have witnessed the increasing amount of images with user-provided tags, which leads to considerable effort made on hashing based approximate nearest neighbor (ANN) search in huge ...

This paper describes loop closures detection, a significant problem in mobile robotics, using analysis of similarity between images in a low-dimensional mapping. We represent a set of images as a graph in high-dimensional space, where each node is ...

With the emerging social networks, images have become a major medium for emotion delivery in social events due to their infectious and vivid characteristics. Discovering the emotionally representative images can help people intuitively understand the ...

How do you tell a blackbird from a crow? There has been great progress toward automatic methods for visual recognition, including fine-grained visual categorization in which the classes to be distinguished are very similar. In a task such as bird ...

Image annotation has been widely investigated to discover the semantics of an image. However, most of the existing algorithms focus on noun tags (e.g. concepts and objects). Since an image is a snapshot of the real world event, annotating images with ...

Interactive image and video search tools typically use a grid-like arrangement of thumbnails for preview purpose. Such a display, which is commonly known as storyboard, provides limited flexibility at interactive search and it does not optimally exploit ...

The proposed framework automatically predicts user tags for online videos from their visual features and associated textual metadata, which is semantically expanded using complementary textual resources.

This paper compares the correlations between visual similarity of real-world images and different ontology-based concept similarity in order to find a novel measurement of the relationship between semantic concepts (objects, scenes) in visual domain ...