We introduce PlausiVL a large video-language model for anticipating action sequences that
are plausible in the real-world. While significant efforts have been made towards anticipating …

Can we better anticipate an actor's future actions (eg mix eggs) by knowing what commonly
happens after his/her current action (eg crack eggs)? What if we also know the longer-term …

Human action anticipation aims at predicting what people will do in the future based on past
observations. In this paper we introduce Uncertainty-aware Action Decoupling Transformer …

Human-object interaction (HOI) and temporal dynamics along the motion paths are the most
important visual cues for egocentric action anticipation. Especially, interaction regions …

Action anticipation is the task of forecasting future activity from a partially observed
sequence of events. However, this task is exposed to intrinsic future uncertainty and the …

Video activity anticipation aims to predict what will happen in the future, embracing a broad
application prospect ranging from robot vision and autonomous driving. Despite the recent …

The ability to anticipate possible future human actions is essential for a wide range of
applications, including autonomous driving and human-robot interaction. Consequently …

The problem of predicting human actions from observed videos is an inherently uncertain
one. We present an action anticipation model that leverages latent goal information to …

With the development of cloud services and machine learning, there has been an inevitable
need to enhance privacy and security when serving video recognition models. Although …

First-person hand-object interaction anticipation aims to predict the interaction process over
a forthcoming period based on current scenes and prompts. This capability is crucial for …