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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23198 条 记 录,以下是281-290 订阅
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Filter Distribution Templates in Convolutional Networks for Image Classification Tasks
Filter Distribution Templates in Convolutional Networks for ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Izquierdo-Cordova, Ramon Mayol-Cuevas, Walterio Univ Bristol Dept Comp Sci Bristol Avon England
Neural network designers have reached progressive accuracy by increasing models depth, introducing new layer types and discovering new combinations of layers. A common element in many architectures is the distribution... 详细信息
来源: 评论
OutfitTransformer: Outfit Representations for Fashion Recommendation
OutfitTransformer: Outfit Representations for Fashion Recomm...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sarkar, Rohan Bodla, Navaneeth Vasileva, Mariya Lin, Yen-Liang Beniwal, Anurag Lu, Alan Medioni, Gerard Purdue Univ W Lafayette IN 47907 USA Amazon Seattle WA 98109 USA
Predicting outfit compatibility and retrieving complementary items are critical components for a fashion recommendation system. We present a scalable framework, Out-fitTransformer, that learns compatibility of the ent... 详细信息
来源: 评论
Efficient Online Multi-Camera Tracking with Memory-Efficient Accumulated Appearance Features and Trajectory Validation
Efficient Online Multi-Camera Tracking with Memory-Efficient...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lap Quoc Tran Huan Duc Vi Asilla Tokyo Japan
Multi-camera tracking (MCT) plays a crucial role in various computer vision applications. However, accurate tracking of individuals across multiple cameras faces challenges, particularly with identity switches. In thi... 详细信息
来源: 评论
Temporal Segmentation and Activity Classification from First-person Sensing
Temporal Segmentation and Activity Classification from First...
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ieee-computer-Society conference on computer vision and pattern recognition workshops
作者: Spriggs, Ekaterina H. De La Torre, Fernando Hebert, Martial Carnegie Mellon Univ Pittsburgh PA 15213 USA
Temporal segmentation of human motion into actions is central to the understanding and building of computational models of human motion and activity recognition. Several issues contribute to the challenge of temporal ... 详细信息
来源: 评论
From Ego to Nos-vision: Detecting Social Relationships in First-Person Views
From Ego to Nos-vision: Detecting Social Relationships in Fi...
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Alletto, Stefano Serra, Giuseppe Calderara, Simone Solera, Francesco Cucchiara, Rita Univ Modena & Reggio Emilia I-41125 Modena Italy
In this paper we present a novel approach to detect groups in ego-vision scenarios. People in the scene are tracked through the video sequence and their head pose and 3D location are estimated. Based on the concept of... 详细信息
来源: 评论
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action recognition from Skeletal Data  30
When Kernel Methods meet Feature Learning: Log-Covariance Ne...
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30th ieee/CVF conference on computer vision and pattern recognition workshops (CVPRW)
作者: Cavazza, Jacopo Morerio, Pietro Murino, Vittorio Ist Italiano Tecnol Pattern Anal & Comp Vis PAVIS Genoa Italy Univ Genoa Electr Elect & Telecommun Engn Naval Architecture Genoa Italy Univ Verona Comp Sci Dept Verona Italy
Human action recognition from skeletal data is a hot research topic and important in many open domain applications of computer vision, thanks to recently introduced 3D sensors. In the literature, naive methods simply ... 详细信息
来源: 评论
Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action recognition
Grassmannian Sparse Representations and Motion Depth Surface...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Azary, Sherif Savakis, Andreas Rochester Inst Technol Rochester NY 14623 USA
Manifold learning has been effectively used in computer vision applications for dimensionality reduction that improves classification performance and reduces computational load. Grassmann manifolds are well suited for... 详细信息
来源: 评论
Superpixel Estimation for Hyperspectral Imagery
Superpixel Estimation for Hyperspectral Imagery
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27th ieee conference on computer vision and pattern recognition (CVPR)
作者: Massoudifar, Pegah Rangarajan, Anand Gader, Paul Univ Florida Dept CISE Gainesville FL 32611 USA
In the past decade, there has been a growing need for machine learning and computer vision components (segmentation, classification) in the hyperspectral imaging domain. Due to the complexity and size of hyperspectral... 详细信息
来源: 评论
Surrogate Contrastive Network for Supervised Band Selection in Multispectral computer vision Tasks  32
Surrogate Contrastive Network for Supervised Band Selection ...
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32nd ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bernal, Edgar A. Univ Rochester Rochester Data Sci Consortium 260 E Main St Rochester NY 14604 USA
computer vision techniques that operate on hyper- and multispectral imagery benefit from the additional amount of spectral information relative to those that exploit traditional RGB or monochromatic visual data. Howev... 详细信息
来源: 评论
NU-Net: Deep Residual Wide Field of View Convolutional Neural Network for Semantic Segmentation  31
NU-Net: Deep Residual Wide Field of View Convolutional Neura...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Samy, Mohamed Amer, Karim Eissa, Kareem Shaker, Mahmoud ElHelw, Mohamed Nile Univ Ctr Informat Sci Giza Egypt
Semantic Segmentation of satellite images is one of the most challenging problems in computer vision as it requires a model capable of capturing both local and global information at each pixel. Current state of the ar... 详细信息
来源: 评论