Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …

With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …

Visual-based social media are growing exponentially and have become an integrated part
of the customer engagement strategy of many brands. Prior work points to the textual …

Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …

Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …

Logo detection has been gaining considerable attention because of its wide range of
applications in the multimedia field, such as copyright infringement detection, brand visibility …

Logo detection in unconstrained images is challenging, particularly when only very sparse
labelled training images are accessible due to high labelling costs. In this work, we describe …

Recent progress in deep learning methods has shown that key steps in object detection and
recognition, including feature extraction, region proposals, and classification, can be done …

Designing a logo for a new brand is a lengthy and tedious back-and-forth process between
a designer and a client. In this paper we explore to what extent machine learning can solve …

In recent years, deep learning has shown very competitive performance in seizure detection.
However, most of the currently used methods either convert electroencephalogram (EEG) …