English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Video anticipation is the task of predicting one/multiple futurerepresentation(s) given limited, partial observation. This is a challengingtask due to the fact that given limited observation, the future representationcan be highly ambiguous. Based on the nature of the task, video anticipationcan be considered from two viewpoints: the level of details and the level ofdeterminism in the predicted future. In this research, we start fromanticipating a coarse representation of a deterministic future and then movetowards predicting continuous and fine-grained future representations of astochastic process. The example of the former is video action anticipation inwhich we are interested in predicting one action label given a partiallyobserved video and the example of the latter is forecasting multiple diversecontinuations of human motion given partially observed one. In particular, inthis thesis, we make several contributions to the literature of videoanticipation...

Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic