Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Zachary Wharton"'
Publikováno v:
IEEE Transactions on Affective Computing. 14:549-562
Affect is often expressed via non-verbal body language such as actions/gestures, which are vital indicators for human behaviors. Recent studies on recognition of fine-grained actions/gestures in monocular images have mainly focused on modeling spatia
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:2874-2881
Automatic recognition and prediction of in-vehicle human activities has a significant impact on the next generation of driver assistance and intelligent autonomous vehicles. In this article, we present a novel single image driver action recognition a
Publikováno v:
IET Intelligent Transport Systems. 14:1228-1239
Autonomous vehicles (AVs) are undergoing rapid worldwide development. They will only become a success if they are accepted by their users. Therefore, there is a need for user acceptance for these vehicles. Previous studies on acceptance of AV have id
Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition. This is mainly due to the strong ability of such networks in mining discriminative object pose and parts information f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b34f32f352da4bf3266f68c77703efa
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
This paper presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distinctive classes have shown great success, but their performance in discr
Deep convolutional neural networks (CNNs) have shown a strong ability in mining discriminative object pose and parts information for image recognition. For fine-grained recognition, context-aware rich feature representation of object/scene plays a ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431554ff767e1f4828054d82fa2d7584
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695408
ACCV (5)
ACCV (5)
Head pose is a vital indicator of human attention and behavior. Therefore, automatic estimation of head pose from images is key to many applications. In this paper, we propose a novel approach for head pose estimation from a single RGB image. Many ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41549729e8d082a390f0b999445a7350
https://doi.org/10.1007/978-3-030-69541-5_14
https://doi.org/10.1007/978-3-030-69541-5_14
Publikováno v:
WACV
There is significant progress in recognizing traditional human activities from videos focusing on highly distinctive actions involving discriminative body movements, body-object and/or human-human interactions. Driver’s activities are different sin
Publikováno v:
FG
Head pose recognition and monitoring is key to many real-world applications, since it is a vital indicator for human attention and behavior. Currently, head pose is often computed by localizing landmarks on a targeted face and solving 2D to 3D corres
Publikováno v:
AVSS
With an aging population that continues to grow, dementia is a major global health concern. It is a syndrome in which there is a deterioration in memory, thinking, be-havior and the ability to perform activities of daily living. Depression and aggres