The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

Most machine-learning methods focus on classifying instances whose classes have already
been seen in training. In practice, many applications require classifying instances whose …

Attention has become more attractive in person re-identification (ReID) as it is capable of
biasing the allocation of available resources towards the most informative parts of an input …

Cross-modal retrieval between videos and texts has attracted growing attentions due to the
rapid emergence of videos on the web. The current dominant approach is to learn a joint …

This paper attacks the challenging problem of video retrieval by text. In such a retrieval
paradigm, an end user searches for unlabeled videos by ad-hoc queries described …

State-of-the-art methods for zero-shot visual recognition formulate learning as a joint
embedding problem of images and side information. In these formulations the current best …

This paper attacks the challenging problem of zero-example video retrieval. In such a
retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described …

This paper aims for the task of text-to-video retrieval, where given a query in the form of a
natural-language sentence, it is asked to retrieve videos which are semantically relevant to …

Zero-shot complex event detection has been an emerging task in coping with the scarcity of
labeled training videos in practice. Aiming to progress beyond the state-of-the-art zero-shot …

In this paper, we tackle the problem of retrieving videos using complex natural language
queries. Towards this goal, we first parse the sentential descriptions into a semantic graph …