Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, hel** the …

Multiple instance learning (MIL) is a form of weakly supervised learning where training
instances are arranged in sets, called bags, and a label is provided for the entire bag. This …

Automatic generation of video captions is a fundamental challenge in computer vision.
Recent techniques typically employ a combination of Convolutional Neural Networks …

We address the problem of text-based activity retrieval in video. Given a sentence describing
an activity, our task is to retrieve matching clips from an untrimmed video. To capture the …

Video captioning has been attracting broad research attention in the multimedia community.
However, most existing approaches heavily rely on static visual information or partially …

We present an approach that exploits hierarchical Recurrent Neural Networks (RNNs) to
tackle the video captioning problem, ie, generating one or multiple sentences to describe a …

In this paper, we propose a novel approach to video captioning based on adversarial
learning and long short-term memory (LSTM). With this solution concept, we aim at …

Dense event captioning aims to detect and describe all events of interest contained in a
video. Despite the advanced development in this area, existing methods tackle this task by …