Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

The task of predicting future actions from a video is crucial for a real-world agent interacting
with others. When anticipating actions in the distant future, we humans typically consider …

In this paper, we study the problem of procedure planning in instructional videos. Here, an
agent must produce a plausible sequence of actions that can transform the environment …

In this paper, we study the problem of procedure planning in instructional videos, which aims
to make goal-directed plans given the current visual observations in unstructured real-life …

Anticipating actions before they are executed is crucial for a wide range of practical
applications, including autonomous driving and robotics. In this paper, we study the …

In this paper, we study the problem of procedure planning in instructional videos, which can
be seen as a step towards enabling autonomous agents to plan for complex tasks in …

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 …

In this work, we focus on the task of procedure planning from instructional videos with text
supervision, where a model aims to predict an action sequence to transform the initial visual …

Action anticipation involves predicting future actions having observed the initial portion of a
video. Typically, the observed video is processed as a whole to obtain a video-level …

Future activity anticipation is a challenging problem in egocentric vision. As a standard
future activity anticipation paradigm, recursive sequence prediction suffers from the …