Scaling up fine-grained recognition to all domains of fine-grained objects is a challenge the
computer vision community will need to face in order to realize its goal of recognizing all …

Automated Vehicle Classification (AVC) based on vision sensors has received active
attention from researchers, due to heightened security concerns in Intelligent Transportation …

Visual recognition research often assumes a sufficient resolution of the region of interest
(ROI). That is usually violated in practice, inspiring us to explore the Very Low Resolution …

Text detection in complex background images is a challenging task for intelligent vehicles.
Actually, almost all the widely-used systems focus on commonly used languages while for …

As font is one of the core design concepts, automatic font identification and similar font
suggestion from an image or photo has been on the wish list of many designers. We study …

Given a food image, can a fine-grained object recognition engine tell" which restaurant
which dish" the food belongs to? Such ultra-fine grained image recognition is the key for …

We introduce FontCode, an information embedding technique for text documents. Provided
a text document with specific fonts, our method embeds user-specified information in the text …

Font selection is one of the most important steps in a design workflow. Traditional methods
rely on ordered lists which require significant domain knowledge and are often difficult to …

Font detection and similar font suggestions are essential in computer vision, document
analysis, pattern recognition, web development, and core work for graphics designers and …

The problem of fine-grained object recognition is very challenging due to the subtle visual
differences between different object categories. In this paper, we propose a task-driven …