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An outlook into the future of egocentric vision
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …
research in egocentric vision and the ever-anticipated future, where wearable computing …
Challenges and solutions for vision-based hand gesture interpretation: A review
Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
General flow as foundation affordance for scalable robot learning
We address the challenge of acquiring real-world manipulation skills with a scalable
framework. We hold the belief that identifying an appropriate prediction target capable of …
framework. We hold the belief that identifying an appropriate prediction target capable of …
Prompting Future Driven Diffusion Model for Hand Motion Prediction
Hand motion prediction from both first-and third-person perspectives is vital for enhancing
user experience in AR/VR and ensuring safe remote robotic arm control. Previous works …
user experience in AR/VR and ensuring safe remote robotic arm control. Previous works …
Bidirectional progressive transformer for interaction intention anticipation
Interaction intention anticipation aims to jointly predict future hand trajectories and
interaction hotspots. Existing research often treated trajectory forecasting and interaction …
interaction hotspots. Existing research often treated trajectory forecasting and interaction …
AFF-ttention! Affordances and Attention Models for Short-Term Object Interaction Anticipation
Abstract Short-Term object-interaction Anticipation (STA) consists of detecting the location of
the next-active objects, the noun and verb categories of the interaction, and the time to …
the next-active objects, the noun and verb categories of the interaction, and the time to …
Pear: Phrase-based hand-object interaction anticipation
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 …
a forthcoming period based on current scenes and prompts. This capability is crucial for …
MADiff: Motion-aware mamba diffusion models for hand trajectory prediction on egocentric videos
Understanding human intentions and actions through egocentric videos is important on the
path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand …
path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand …
Diff-IP2D: Diffusion-based hand-object interaction prediction on egocentric videos
Understanding how humans would behave during hand-object interaction is vital for
applications in service robot manipulation and extended reality. To achieve this, some …
applications in service robot manipulation and extended reality. To achieve this, some …
EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction
A robot's ability to anticipate the 3D action target location of a hand's movement from
egocentric videos can greatly improve safety and efficiency in human-robot interaction (HRI) …
egocentric videos can greatly improve safety and efficiency in human-robot interaction (HRI) …