Results 191 to 200 of about 1,409,257 (215)
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PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence

arXiv.org
Robotic generalization relies on physical intelligence: the ability to reason about state changes, contact-rich interactions, and long-horizon planning under egocentric perception and action. Vision Language Models (VLMs) are essential to Vision-Language-
Xiaopeng Lin   +12 more
semanticscholar   +1 more source

A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014
Hand detection is one of the most explored areas in Egocentric Vision Video Analysis for wearable devices. Current methods are focused on pixel-by-pixel hand segmentation, with the implicit assumption of hand presence in almost all activities. However, this assumption is false in many applications for wearable cameras.
BETANCOURT, ALEJANDRO ARANGO   +3 more
openaire   +2 more sources

METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action Model

arXiv.org
Building a generalist robot that can perceive, reason, and act across diverse tasks remains an open challenge, especially for dexterous manipulation. A major bottleneck lies in the scarcity of large-scale, action-annotated data for dexterous skills, as ...
Yan-Kai Fu   +7 more
semanticscholar   +1 more source

HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision

arXiv.org
Large Vision Language Models (VLMs) are now the de facto state-of-the-art for a number of tasks including visual question answering, recognising objects, and spatial referral.
Siddhant Bansal, Michael Wray, D. Damen
semanticscholar   +1 more source

TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model

International Conference on Computers for Handicapped Persons
The ability to read, understand and find important information from written text is a critical skill in our daily lives for our independence, comfort and safety.
Wiktor Mucha   +4 more
semanticscholar   +1 more source

Egocentric Vision Action Recognition: Performance Analysis on the Coer_Egovision Dataset

2024 International Conference on Automation and Computation (AUTOCOM)
Egocentric activity recognition, also known as first-person vision, captures human actions and activities from the perspective of a wearable camera, providing a personalized and contextualized viewpoint.
Himanshu Gupta, Vivek Kumar
semanticscholar   +1 more source

An egocentric computer vision based co-robot wheelchair

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Motivated by the emerging needs to improve the quality of life for the elderly and disabled individuals who rely on wheelchairs for mobility, and who might have limited or no hand functionality at all, we propose an egocentric computer vision based co-robot wheelchair to enhance their mobility without hand usage. The co-robot wheelchair is built upon a
Haoxiang Li   +5 more
openaire   +2 more sources

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset

Neural Information Processing Systems
We introduce Oxford Day-and-Night, a large-scale, egocentric dataset for novel view synthesis (NVS) and visual relocalisation under challenging lighting conditions.
Zirui Wang   +6 more
semanticscholar   +1 more source

REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke

ECCV Workshops
Stroke represents the third cause of death and disability worldwide, and is recognised as a significant global health problem. A major challenge for stroke survivors is persistent hand dysfunction, which severely affects the ability to perform daily ...
Wiktor Mucha, Kentaro Tanaka, M. Kampel
semanticscholar   +1 more source

Na Vid-4D: Unleashing Spatial Intelligence in Egocentric RGB-D Videos for Vision-and-Language Navigation

IEEE International Conference on Robotics and Automation
Understanding and reasoning about the 4D space-time is crucial for Vision-and-Language Navigation (VLN). However, previous works lack in-depth exploration in this aspect, resulting in bottlenecked spatial perception and action precision of VLN agents. In
Hao-Ran Liu   +9 more
semanticscholar   +1 more source

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