Titlebook: Computer Vision – ACCV 2018; 14th Asian Conferenc C. V. Jawahar,Hongdong Li,Konrad Schindler Conference proceedings 2019 Springer Nature Sw

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书目名称Computer Vision – ACCV 2018影响因子(影响力)




书目名称Computer Vision – ACCV 2018影响因子(影响力)学科排名




书目名称Computer Vision – ACCV 2018网络公开度




书目名称Computer Vision – ACCV 2018网络公开度学科排名




书目名称Computer Vision – ACCV 2018被引频次




书目名称Computer Vision – ACCV 2018被引频次学科排名




书目名称Computer Vision – ACCV 2018年度引用




书目名称Computer Vision – ACCV 2018年度引用学科排名




书目名称Computer Vision – ACCV 2018读者反馈




书目名称Computer Vision – ACCV 2018读者反馈学科排名

Fortify

minion

Cross-Spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shan. Extensive experiments shows that SCFDM outperforms the state-of-the-art methods on the cross-spectral dataset in terms of FPR95 and the training convergence. Meanwhile, it also demonstrates a better generalizability on a single spectral dataset.

Iniquitous

Visual-Field

Robust Video Background Identification by Dominant Rigid Motion Estimationotions are also taken care of by checking their global consistency with the final estimated background motion. Lastly, by virtue of its efficiency, our method can deal with densely sampled trajectories. It outperforms several state-of-the-art motion segmentation methods on public datasets, both quan

支架

SMC: Single-Stage Multi-location Convolutional Network for Temporal Action Detectionation offsets to the default locations, as well as action categories. SMC in practice is faster than the existing methods (753 FPS on a Titan X Maxwell GPU) and achieves state-of-the-art performance on THUMOS’14 and MEXaction2.

支架

innate

Neural Abstract Style Transfer for Chinese Traditional Paintinginting. To promote research on this direction, we collect a new dataset with diverse photo-realistic images and Chinese traditional paintings (The dataset will be released at ..). In experiments, the proposed method shows more appealing stylized results in transferring the style of Chinese tradition

乳白光

步兵