Titlebook: Computer Vision – ECCV 2016; 14th European Confer Bastian Leibe,Jiri Matas,Max Welling Conference proceedings 2016 Springer International P

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书目名称Computer Vision – ECCV 2016影响因子(影响力)




书目名称Computer Vision – ECCV 2016影响因子(影响力)学科排名




书目名称Computer Vision – ECCV 2016网络公开度




书目名称Computer Vision – ECCV 2016网络公开度学科排名




书目名称Computer Vision – ECCV 2016被引频次




书目名称Computer Vision – ECCV 2016被引频次学科排名




书目名称Computer Vision – ECCV 2016年度引用




书目名称Computer Vision – ECCV 2016年度引用学科排名




书目名称Computer Vision – ECCV 2016读者反馈




书目名称Computer Vision – ECCV 2016读者反馈学科排名

倒转

Faceless Person Recognition: Privacy Implications in Social Medias works contributes to the understanding of privacy implications of such data sharing by analysing how well people are recognisable in social media data. To facilitate a systematic study we define a number of scenarios considering factors such as how many heads of a person are tagged and if those he

防锈

Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentationskill evaluation. However, despite substantial recent progress in large-scale action classification, the performance of state-of-the-art fine-grained action recognition approaches remains low. We propose a model for action segmentation which combines low-level spatiotemporal features with a high-lev

CREEK

lambaste

Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmarktistage convolutional networks and deep learning have also emerged. In different papers the performance comparison of the proposed methods to earlier approaches is mainly done with some well-known texture datasets, with differing classifiers and testing protocols, and often not using the best sets o

壕沟

壕沟

Chagrin

A 4D Light-Field Dataset and CNN Architectures for Material Recognition4D light-field. Our dataset contains 12 material categories, each with 100 images taken with a Lytro Illum, from which we extract about 30,000 patches in total. To the best of our knowledge, this is the first mid-size dataset for light-field images. Our main goal is to investigate whether the additi

Repetitions

耐寒

All-Around Depth from Small Motion with a Spherical Panoramic Camerar vision. For capturing full 360 degree panoramas in a single shot, the Spherical Panoramic Camera (SPC) are gaining in popularity. However, estimating depth from a SPC remains a challenging problem. In this paper, we propose a practical method that generates all-around dense depth map using a narro