Titlebook: Advances in Visual Computing; 14th International S George Bebis,Richard Boyle,Panpan Xu Conference proceedings 2019 Springer Nature Switzer

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书目名称Advances in Visual Computing影响因子(影响力)




书目名称Advances in Visual Computing影响因子(影响力)学科排名




书目名称Advances in Visual Computing网络公开度




书目名称Advances in Visual Computing网络公开度学科排名




书目名称Advances in Visual Computing被引频次




书目名称Advances in Visual Computing被引频次学科排名




书目名称Advances in Visual Computing年度引用




书目名称Advances in Visual Computing年度引用学科排名




书目名称Advances in Visual Computing读者反馈




书目名称Advances in Visual Computing读者反馈学科排名

syncope

DeepGRU: Deep Gesture Recognition Utility streamlined and device-agnostic. DeepGRU, which uses only raw skeleton, pose or vector data is quickly understood, implemented, and trained, and yet achieves state-of-the-art results on challenging datasets. At the heart of our method lies a set of stacked gated recurrent units (GRU), two fully-con

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DomainSiam: Domain-Aware Siamese Network for Visual Object Trackingrks. However, Siamese trackers do not fully utilize semantic and objectness information from pre-trained networks that have been trained on image classification task. Furthermore, the pre-trained Siamese architecture is sparsely activated by the category label, which leads to unnecessary calculation

MEAN

Reconstruction Error Aware Pruning for Accelerating Neural Networksccelerating the inference. REAP is an extension of one of the state-of-the-art channel pruning methods. Our method takes 3 steps, (1) evaluating the importance of each channel based on the reconstruction error of the outputs in each convolutional layer, (2) pruning less important channels, (3) updat

BAIL

Bioinspired Simulation of Knotting Hagfishfor a wide variety of purposes, such as feeding and manipulation. Clearly of interest to biologists, this knotting behavior is also relevant to other fields, such as bioinspired soft robotics. However, this knot-sliding behavior has been challenging to model and has not been simulated on a computer.

纠缠,缠绕

Interactive 3D Visualization for Monitoring and Analysis of Geographical Traffic Data of Various Domrch effort goes into visualization techniques of various kinds of geography-bound traffic data. Unfortunately, such techniques are very domain-specific and often lack useful features. We propose an interactive visualization system for monitoring and analyzing traffic data on a 3D globe. Our system i

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