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Pdpp: Projected diffusion for procedure planning in instructional videos
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 …
to make goal-directed plans given the current visual observations in unstructured real-life …
Uncertainty-aware action decoupling transformer for action anticipation
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 …
observations. In this paper we introduce Uncertainty-aware Action Decoupling Transformer …
Intention-conditioned long-term human egocentric action anticipation
To anticipate how a person would act in the future, it is essential to understand the human
intention since it guides the subject towards a certain action. In this paper, we propose a …
intention since it guides the subject towards a certain action. In this paper, we propose a …
Interaction region visual transformer for egocentric action anticipation
D Roy, R Rajendiran… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Human-object interaction (HOI) and temporal dynamics along the motion paths are the most
important visual cues for egocentric action anticipation. Especially, interaction regions …
important visual cues for egocentric action anticipation. Especially, interaction regions …
A stroke of genius: Predicting the next move in badminton
This paper presents a transformer encoder-decoder model for predicting future badminton
strokes based on previous rally actions. The model uses court position skeleton poses and …
strokes based on previous rally actions. The model uses court position skeleton poses and …
Predicting the next action by modeling the abstract goal
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 …
one. We present an action anticipation model that leverages latent goal information to …
Pretrained language models as visual planners for human assistance
In our pursuit of advancing multi-modal AI assistants capable of guiding users to achieve
complex multi-step goals, we propose the task of'Visual Planning for Assistance (VPA)' …
complex multi-step goals, we propose the task of'Visual Planning for Assistance (VPA)' …