California Institute of Technology（加州理工学院）

CalTennis: Large Multi-View Tennis Video Dataset and Benchmark of Monocular-to-3D Pose Estimation

CalTennis：大型多视角网球视频数据集及单目到3D姿态估计基准

Ilona Demler, Xinran Xie, Blake Werner, Anna Szczuka, Pietro Perona

机构 * California Institute of Technology（加州理工学院） 纠错

AI总结 提出CalTennis大型多视角网球视频数据集（1100万帧，40名球员），用于评估野外单目到3D姿态估计，并发现现有模型在深度估计和足部接触方面存在不足。

Review of Machine Learning Models for Solar Energetic Particle Prediction

太阳高能粒子预测的机器学习模型综述

Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman, Ricky Egeland, Manolis Georgoulis, Angelos Vourlidas, Athanasios Papaioannou, Eleni Lavasa, Anastasios Anastasiadis, Giorgos Giannopoulos, Andres Munoz-Jaramillo, Bala Poduval, Irina N. Kitiashvili, Alexander G. Kosovichev, Viacheslav Sadykov, Soukaina Filali Boubrahimi, Tate T. Hutchins, Hameedullah A. Farooki, Manuel E. Cuesta, Leng Y. Khoo, Sungmin Pak, Robert Czarnota, Jamie S. Rankin, Jamey Szalay, Mitchell M. Shen, Georgios Livadiotis, Zigong Xu, David J. McComas, Nikolaos Sarlis, Dionissios Hristopulos, Arik Posner, Alec J. Engell, Mohammed AbuBakr Ali, Ali G. A. Abdelkawy, Abdelrazek M. K. Shaltout, M. M. Beheary, Christina O. Lee, Sigiava Aminalragia-Giamini, Constantinos Papadimitriou, Ingmar Sandberg, Savvas Raptis, Shah Muhammad Hamdi, Monica Laurenza, Mirko Stumpo, Sumanth A. Rotti, India Jackson, Aatiya Ali, Atilim Gunes Baydin, Nathan Schwadron, Subhamoy Chatterjee, Maher A. Dayeh, Gelu M. Nita, Patrick M. O'Keefe, Chun Jie Chong, Paul Kosovich, Russell D. Marroquin, Berkay Aydin, Petrus C. Martens, Lulu Zhao, Yang Chen, Yian Yu, Monica G. Bobra, Ward Manchester, Tamas Gombosi, Ming Zhang, Jesse Torres, Philip K. Chan, Mohamed Nedal, Kamen Kozarev, Peijin Zhang, Kimberly Moreland, Hazel M. Bain, Samuel Hart, Michael J. Starkey, Alan G. Ling, Simone Benella

机构 * Department of Astrophysical Sciences, Princeton University, Princeton, NJ, USA ； Computational Physics Branch, NASA Ames Research Center, Moffett Field, CA, USA ； Department of Computer Science, Utah State University, Logan, UT, USA ； Space Radiation Analysis Group, NASA Johnson Space Center, Houston, TX, USA ； Johns Hopkins Applied Physics Lab, 11100 Johns Hopkins Rd, Laurel, MD 20723, United States ； Research Center for Astronomy ； Applied Mathematics of the Academy of Athens, 4 Soranou Efesiou Street, Athens 11527, Greece ； Institute for Astronomy, Astrophysics, Space Applications ； Southwest Research Institute, Boulder, CO, USA ； Space Science Center, University of New Hampshire, Durham, NH, USA ； Department of Physics, New Jersey Institute of Technology, Newark, NJ, USA ； Astronomy Department, Georgia State University, Atlanta, GA, USA ； Department of Computer Science, Princeton University, Princeton, NJ, USA ； Department of Mathematics, Rowan University, Glassboro, NJ, USA ； Astronomy, California Institute of Technology, Pasadena, CA, USA ； Department of Physics, National ； Kapodistrian University of Athens, Athens, Greece ； School of Electrical ； Computer Engineering, Technical University of Crete, Chania, Greece ； Department of Astronomy ； Meteorology, Faculty of Science, Al-Azhar University, Cairo, Egypt ； Space Sciences Lab, University of California, Berkeley, CA, USA ； Research Consultancy, Athens, Greece ； Institute for Space Astrophysics ； Department of Physics ； Astronomy, Georgia State University, Atlanta, GA 30303, USA ； Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital-263001, Uttarakhand, India ； Department of Computer Science, Oxford University, Oxford, England ； Southwest Research Institute, San Antonio, TX, USA ； Computer Science Department, New Jersey Institute of Technology, Newark, NJ, USA ； Department of Physics, University of California San Diego, La Jolla, CA 92093, USA ； Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA ； Department of Climate ； Engineering, University of Michigan, Ann Arbor, MI, USA ； Department of Statistics, University of Michigan, Ann Arbor, MI, USA ； Department of Electrical Engineering ； Computer Science, Florida Institute of Technology, Melbourne, FL, USA ； Astrophysics Section, School of Cosmic Physics, Dublin Institute for Advanced Studies, DIAS Dunsink Observatory, Dublin D15 XR2R, Ireland ； Institute of Astronomy of the Bulgarian Academy of Sciences, Sofia, Bulgaria ； Center for Solar-Terrestrial Research, New Jersey Institute of Technology, Newark, NJ 07102, USA ； Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, CO, USA ； CIRES, University of Colorado Boulder, Boulder, CO, USA ； Space Weather Prediction Center, NOAA, Boulder, CO, USA ； Astronomy, College of Science, The University of Texas at San Antonio, San Antonio, TX, USA ； Space Weather Prediction Center, National Oceanic ； The University of Texas at San Antonio, San Antonio, TX, USA ； Environmental Research, Inc., MA, USA 纠错

AI总结 综述了用于太阳高能粒子预测的机器学习模型，包括数据集、架构、输入输出比较，并提出了未来研究建议。

Comments Review Paper, Maine text: 23 pages, References: 5 pages, Appendix: 42 pages