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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4491 条 记 录,以下是91-100 订阅
排序:
Affective Gaming: A Comprehensive Survey
Affective Gaming: A Comprehensive Survey
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Kotsia, Irene Zafeiriou, Stefanos Fotopoulos, Spiros Queen Mary Univ London Sch Elect Engn & Comp Sci London England Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England Univ Patras Dept Phys Elect Lab GR-26110 Patras Greece
A typical gaming scenario involves a player interacting with a game by a specialized input device, such as a joystic, a mouse, a keyboard etc. Recent technological advances have enabled the introduction of more elabor... 详细信息
来源: 评论
Persistent-Transient Duality in Human Behavior Modeling
Persistent-Transient Duality in Human Behavior Modeling
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hung Tran Vuong Le Venkatesh, Svetha Truyen Tran Deakin Univ Appl AI Inst Geelong Vic Australia
We propose to model the persistent-transient duality in human behavior using a parent-child multi-channel neural network, which features a parent persistent channel that manages the global dynamics and children transi... 详细信息
来源: 评论
Application of computer vision and vector space model for tactical movement classification in badminton  30
Application of computer vision and vector space model for ta...
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30th ieee/CVF conference on computer vision and pattern recognition workshops (cvprw)
作者: Weeratunga, Kokum Dharmaratne, Anuja How, Khoo Boon Monash Univ Sch Informat Technol Clayton Vic Australia Monash Univ Sch Engn Clayton Vic Australia Natl Sports Inst Malaysia Kuala Lumpur Malaysia
Performance profiling in sports allow evaluating opponents' tactics and the development of counter tactics to gain a competitive advantage. The work presented develops a comprehensive methodology to automate tacti... 详细信息
来源: 评论
Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded vision
Intelligent Scene Caching to Improve Accuracy for Energy-Con...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Simpson, Benjamin Lubana, Ekdeep Liu, Yuchen Dick, Robert Univ Michigan Ann Arbor MI 48109 USA
We describe an efficient method of improving the performance of vision algorithms operating on video streams by reducing the amount of data captured and transferred from image sensors to analysis servers in a data-awa... 详细信息
来源: 评论
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
NTIRE 2021 Challenge on Quality Enhancement of Compressed Vi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yang, Ren Timofte, Radu Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
This paper introduces a novel dataset for video enhancement and studies the state-of-the-art methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The challenge is the first NTIRE challenge i... 详细信息
来源: 评论
Multi-Class Multi-Movement Vehicle Counting Based on CenterTrack
Multi-Class Multi-Movement Vehicle Counting Based on CenterT...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kocur, Viktor Ftacnik, Milan Comenius Univ Fac Math Phys & Informat Bratislava Slovakia
In this paper we present our approach to the Track 1 of the 2021 AI City Challenge. The goal of the challenge track is to to analyse footage captured with traffic cameras by counting the number of vehicles performing ... 详细信息
来源: 评论
Stacked U-Nets with Multi-Output for Road Extraction  31
Stacked U-Nets with Multi-Output for Road Extraction
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sun, Tao Chen, Zehui Yang, Wenxiang Wang, Yin Tongji Univ Shanghai Peoples R China
With the recent advances of Convolutional Neural Networks (CNN) in computer vision, there have been rapid progresses in extracting roads and other features from satellite imagery for mapping and other purposes. In thi... 详细信息
来源: 评论
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Privacy Leakage of Adversarial Training Models in Federated ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Jingyang Chen, Yiran Li, Hai Duke Univ Dept Elect & Comp Engn Durham NC 27706 USA
Adversarial Training (AT) is crucial for obtaining deep neural networks that are robust to adversarial attacks, yet recent works found that it could also make models more vulnerable to privacy attacks. In this work, w... 详细信息
来源: 评论
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
GAN-Based Data Augmentation and Anonymization for Skin-Lesio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bissoto, Alceu Valle, Eduardo Avila, Sandra Univ Campinas UNICAMP Inst Comp IC Campinas Brazil Univ Campinas UNICAMP RECOD Lab Sch Elect & Comp Engn FEEC Campinas Brazil
Despite the growing availability of high-quality public datasets, the lack of training samples is still one of the main challenges of deep-learning for skin lesion analysis. Generative Adversarial Networks (GANs) appe... 详细信息
来源: 评论
Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images
Where are my clothes? A multi-level approach for evaluating ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jouanneau, Warren Bugeau, Aurelie Palyart, Marc Papadakis, Nicolas Vezard, Laurent Univ Bordeaux LaBRI CNRS Bordeaux INP F-33400 Talence France Lectra F-33610 Cestas France Univ Bordeaux IMB CNRS Bordeaux INPUMR 5251 F-33400 Talence France
In this paper we present an extensive evaluation of instance segmentation in the context of images containing clothes. We propose a multi level evaluation that completes the classical overlapping criteria given by IoU... 详细信息
来源: 评论