The rise of deep learning has brought remarkable progress in estimating hand geometry
from images where the hands are part of the scene. This paper focuses on a new problem …

Searching long egocentric videos with natural language queries (NLQ) has compelling
applications in augmented reality and robotics, where a fluid index into everything that a …

We propose a self-supervised algorithm to learn representations from egocentric video data.
Recently, significant efforts have been made to capture humans interacting with their own …

The goal in episodic memory (EM) is to search a long egocentric video to answer a natural
language query (eg,“where did I leave my purse?”). Existing EM methods exhaustively …

Camera manipulation confounds the use of object recognition applications by blind people.
This is exacerbated when photos from this population are also used to train models, as with …

Teachable interfaces can empower end-users to attune machine learning systems to their
idiosyncratic characteristics and environment by explicitly providing pertinent training …

Rehabilitation is required for patients recovering from neurological illnesses, particularly
hand stroke. However, roughly two-thirds of hand stroke survivors have visual impairments …

In this study, we aim to help robots manipulate objects with the guidance of semantic
constraints (the grasp location, grasp type, approaching way, trajectory constraint, grasp …