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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是3271-3280 订阅
排序:
ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping
ProTractor: A Lightweight Ground Imaging and Analysis System...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Nico Higgs Blanche Leyeza Jordan Ubbens Josh Kocur William van der Kamp Theron Cory Christina Eynck Sally Vail Mark Eramian Ian Stavness Department of Computer Science University of Saskatchewan Saskatoon Canada Saskatoon Research and Development Center Agriculture and Agri-food Canada Saskatoon Canada
Acquiring high-resolution images in the field for image-based crop phenotyping is typically performed by complicated, custom built "pheno-mobiles." In this paper, we demonstrate that large datasets of crop r... 详细信息
来源: 评论
Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation
Motion and Depth Augmented Semantic Segmentation for Autonom...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Hazem Rashed Ahmad El Sallab Senthil Yogamani Mohamed ElHelw Valeo R&D Cairo Egypt Valeo Vision Systems Nile University Cairo Egypt
Motion and depth provide critical information in autonomous driving and they are commonly used for generic object detection. In this paper, we leverage them for improving semantic segmentation. Depth cues can be usefu... 详细信息
来源: 评论
A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
A Realistic Dataset and Baseline Temporal Model for Early Dr...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Reza Ghoddoosian Marnim Galib Vassilis Athitsos Vision-Learning-Mining Lab University of Texas at Arlington
Drowsiness can put lives of many drivers and workers in danger. It is important to design practical and easy-to-deploy real-world systems to detect the onset of drowsiness. In this paper, we address early drowsiness d... 详细信息
来源: 评论
WiFi and vision Multimodal Learning for Accurate and Robust Device-Free Human Activity recognition
WiFi and Vision Multimodal Learning for Accurate and Robust ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Han Zou Jianfei Yang Hari Prasanna Das Huihan Liu Yuxun Zhou Costas J. Spanos Department of Electrical Engineering and Computer Sciences University of California Berkeley USA School of Electrical and Electronics Engineering Nanyang Technological University Singapore
Human activity recognition plays an indispensable role in a myriad of emerging applications in context-aware services. Accurate activity recognition systems usually require the user to carry mobile or wearable devices... 详细信息
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AnonymousNet: Natural Face De-Identification With Measurable Privacy
AnonymousNet: Natural Face De-Identification With Measurable...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Tao Li Lei Lin Department of Computer Science Purdue University Goergen Institute for Data Science University of Rochester
With billions of personal images being generated from social media and cameras of all sorts on a daily basis, security and privacy are unprecedentedly challenged. Although extensive attempts have been made, existing f... 详细信息
来源: 评论
Analysis of Deep Fusion Strategies for Multi-Modal Gesture recognition
Analysis of Deep Fusion Strategies for Multi-Modal Gesture R...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Alina Roitberg Tim Pollert Monica Haurilet Manuel Martin Rainer Stiefelhagen CV:HCI Lab Karlsruhe Institute of Technology Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany
Video-based gesture recognition has a wide spectrum of applications, ranging from sign language understanding to driver monitoring in autonomous cars. As different sensors suffer from their individual limitations, com... 详细信息
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Sports Camera Calibration via Synthetic Data
Sports Camera Calibration via Synthetic Data
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jianhui Chen James J. Little University of British Columbia
Calibrating sports cameras is important for autonomous broadcasting and sports analysis. Here we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data. First, we dev... 详细信息
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FaceGenderID: Exploiting Gender Information in DCNNs Face recognition Systems
FaceGenderID: Exploiting Gender Information in DCNNs Face Re...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Ruben Vera-Rodriguez Marta Blazquez Aythami Morales Ester Gonzalez-Sosa João C. Neves Hugo Proença Biometrics and Data Pattern Analytics - BiDA Lab Universidad Autonoma de Madrid Madrid Spain Nokia Bell Labs Madrid Spain University of Beira Interior Covilha Portugal
This paper addresses the effect of gender as a covariate in face verification systems. Even though pre-trained models based on Deep Convolutional Neural Networks (DCNNs), such as VGG-Face or ResNet-50, achieve very hi... 详细信息
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A Guided Multi-Scale Categorization of Plant Species in Natural Images
A Guided Multi-Scale Categorization of Plant Species in Natu...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jonas Krause Kyungim Baek Lipyeow Lim Dept. of Information and Computer Sciences University of Hawai'i at Manoa Honolulu HI
Automatic categorization of plant species in natural images is an important computer vision problem with numerous applications in agriculture and botany. The problem is particularly challenging due to the large number... 详细信息
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ieee computer Society conference on computer vision and pattern recognition workshops
IEEE Computer Society Conference on Computer Vision and Patt...
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31st Meeting of the ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2018
The proceedings contain 307 papers. The topics discussed include: deep features for recognizing disguised faces in the wild;unconstrained fingerphoto database;hybrid user-independent and user-dependent offline signatu...
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