研究人员开发了新的方法来理解和操纵视频中的时间流。一篇论文探讨了自监督学习在检测速度变化和估计播放速度方面的应用，从而能够创建大型慢动作数据集以及用于速度条件视频生成和时间超分辨率的模型。另一项研究分析了三十年来主题地图设计的演变，利用计算机视觉和大模型量化了多语种期刊中的地图元素、颜色和布局，发现了设计实践中的机构趋同。 AI
影响 新研究探讨了AI在分析视频中的时间动态以及理解学术地图学设计趋势方面的作用。
排序理由 提出了两篇不同的学术论文，一篇关于视频时间操纵，另一篇关于地图学地图设计演变，均发表在arXiv上。
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How can we tell whether a video has been sped up or slowed down? How can we generate videos at different speeds? Although videos have been central to modern computer vision research, little attention has been paid to perceiving and controlling the passage of time. In this paper, …
arXiv:2604.22539v1 Announce Type: new Abstract: Thematic maps play a central role in academic communication, yet their large-scale design evolution has rarely been examined empirically. This study presents a longitudinal and multilingual analysis of thematic map design practices …
Thematic maps play a central role in academic communication, yet their large-scale design evolution has rarely been examined empirically. This study presents a longitudinal and multilingual analysis of thematic map design practices in academic cartography from 1990 to 2020. We co…
How can we tell whether a video has been sped up or slowed down? How can we generate videos at different speeds? Although videos have been central to modern computer vision research, little attention has been paid to perceiving and controlling the passage of time. In this paper, …