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Titlebook: Digital TV and Wireless Multimedia Communication; 17th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2021 Spr

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51#
發(fā)表于 2025-3-30 08:56:41 | 只看該作者
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發(fā)表于 2025-3-30 15:20:28 | 只看該作者
Visual and Audio Synchronization of Pedestrian Footstep Based on Human Pose Estimationing and add manual sound effects requires a lot of time and energy. Aiming at the sound of footstep, which is highly related to human motion, this paper proposes a method to generate the sound of footsteps. First, the method of pedestrian gait detection is used to extract the landing frames, and the
53#
發(fā)表于 2025-3-30 19:42:43 | 只看該作者
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發(fā)表于 2025-3-30 23:51:09 | 只看該作者
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發(fā)表于 2025-3-31 03:26:56 | 只看該作者
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發(fā)表于 2025-3-31 05:54:53 | 只看該作者
An Empirical Study of Text Factors and Their Effects on Chinese Writer Identificationer identification. Text factors contain two types of information: the number of characters in both query and reference and the number of the same characters in both query and reference. We conclude that the performance increases when the query and reference contain more characters, and the minimum n
57#
發(fā)表于 2025-3-31 10:46:42 | 只看該作者
Recurrent Multi-column 3D Convolution Network for Video Super-Resolutionfferent separable 3D convolutions by reducing the parameters without performance penalties, is performed to fuse spatio-temporal features and recover missing details of reference frame. Finally, consecutive HR video sequence is obtained by reconstruction module. Comparative experiments are carried o
58#
發(fā)表于 2025-3-31 15:24:20 | 只看該作者
The Generative Adversarial Network Based on Attention Mechanism for Image Defoggingof the fogless image (the prediction fogless image and the real fogless image). A lot of experiments were carried out on the foggy images in different scenes, and the various comparative analysis were carried out with the evaluation index of image quality. The result shows that the defogging network
59#
發(fā)表于 2025-3-31 20:51:20 | 只看該作者
Human Instance Segmentationdence score is used as a mask quality divided frame most instances. However, it is quantified as IoU mask quality is usually not a good correlation between the scores and classification instance masks its basic facts. Through this problem, we propose a new module scoring module (Evaluation), using t
60#
發(fā)表于 2025-3-31 23:19:52 | 只看該作者
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