Twin Co-Adaptive Dialogue for Progressive Image Generation
双适应对话用于渐进式图像生成
Jianhui Wang, Yangfan He, Yan Zhong, Xinyuan Song, Jiayi Su, Yuheng Feng, Ruoyu Wang, Hongyang He, Wenyu Zhu, Xinhang Yuan, Miao Zhang, Keqin Li, Jiaqi Chen, Tianyu Shi, Xueqian Wang
机构
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University of Electronic Science and Technology of China(电子科技大学)
;
University of Minnesota Twin Cities(明尼苏达大学双城分校)
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Peking University(北京大学)
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Emory University(埃默里大学)
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Xiamen University Malaysia(马来西亚厦门大学)
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Hong Kong Polytechnic University(香港理工大学)
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Tsinghua University(清华大学)
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University of Warwick(沃里克大学)
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Washington University, Saint Louis(圣路易斯华盛顿大学)
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University of Toronto(多伦多大学)
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Google(谷歌)
Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology
混合放大聚合用于计算病理学中的通用区域级表示
Eric Zimmermann, Julian Viret, Michal Zelechowski, James Brian Hall, Neil Tenenholtz, Adam Casson, George Shaikovski, Eugene Vorontsov, Siqi Liu, Kristen A Severson
Automating Timed Up and Go Phase Segmentation and Gait Analysis via the tugturn Markerless 3D Pipeline
通过tugturn无标记3D管道自动化 timed up and go 阶段分割与步态分析
Abel Gonçalves Chinaglia, Guilherme Manna Cesar, Paulo Roberto Pereira Santiago
机构
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Biomechanics and Motor Control Laboratory, School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Brazil(圣保罗大学里贝拉皮托分校体育教育与运动学院生物力学与运动控制实验室)
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Graduate Program in Rehabilitation and Functional Performance, Ribeirao Preto Medical School, University of Sao Paulo, Brazil(圣保罗大学里贝拉皮托医学分校康复与功能表现研究生项目)
;
Department of Physical Therapy, Brooks College of Health, University of North Florida, USA(北弗罗里达大学布鲁克斯健康学院物理治疗系)
专题命中
工作流自动化
:workflow(abstract)
AI总结
tugturn通过无标记3D管道实现timed up and go阶段分割与步态分析,提供多种生物力学指标和可重复的分析流程。
Comments16 pages, 2 figures, 1 pdf report, submitted to arXiv under cs.CV