Frontpage of the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering
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  • Publiceret 20 juni 2022
  • copyright Ophavsret (c) 2022 Jochen Teizer, Carl Schultz, Emil L. Jacobsen, Karsten Winther Johansen, Timo Hartmann, Eyosias Guyo, Ming Gu, Yan Song, Yu-Shen Liu, Hehua Zhang, Ge Gao, Han Liu, Xiaoyu Song, André Borrmann, Rafael Sacks, Jhonattan Martinez, Simon Vilgertshofer, Timson Yeung, Jonas Schlenger, Jimmy Abualdenien, Sebastian Esser, Heng Zhang, Pieter de Wilde, Wei Tian, Lu Chen, Shunning Wei, Shengtao Li, Donghyun Rim, Seokho Chi, Jaehyun Hwang, Seonghyeon Moon, Gitaek Lee, Jakob Beetz, Jeroen Werbrouck, Oliver Schulz, Jyrki Oraskari, Jens Piesk, Rahul Tomar, Gregor Gebhardt, Gabriel Valenzuela, Amin Abbasloo, Philipp Geyer, Werner Lang, Manuel Margesin, Johannes Staudt, Ueli Saluz, Xia Chen, George Edward Gibson Jr, Ronald Laurids Boring, Alper Yilmar, Pingbo Tang, Jinding Xing, Amir Behzadan, Chih-Shen Cheng, Nipun Nath, Weili Fang, Ruibo Hu, Yuhan Liu, Ke Chen, Kosmas Dragos, Mathias Worm, Kay Smarsly, Hamed Kashani, Javad Mirzaei, Hossein Amiri, Guanyu Xiong, Haijiang Li, Yan Gao, Bernd Domer, Yohann Schatz, Joerg Blankenbach, Jan Martens, Laura Florez-Perez, Zhiyuan Song, Jakob Kirchner, Julia Reisinger, Michael Hensel, Josef Füssl, Iva Kovacic, Valentin Senk, Shervin Rasoulzadeh, Honghong Song, Xiaofeng Zhu, Valentin Gavan, Olga Kavvada, Mario Berges, Burcu Akinci, Elvin Vindel, Li Or Sharoni, Mohammad Mostafa Soltani, Ali Motamedi, Mehrzad Shahinmoghadam, Russell Gentry, Mehmet Bermek, Kaijian Liu, Kaiyu Huang, Rehan Khan, Andre Doree, Seirgei Miller, Denis Makarov, Faridaddin Vahdatikhaki, Christian Koch, Jason Lai, Martin Schickert, Mathias Artus, Georg Suter, Amir Abbas Ziaee, Cheng Peng, Ziyi Ke, Hun Huang, Daniel M. Hall, David F. Bucher, Amin Hammad, Ali Ghelmani, Hanbin Luo, Jiameng Yaun, Weiya Chen, Neshat Bolourian, Yi Wei, Daeho Kim, Seyedeh Fatemeh Saffari, Ali Tohidifar, Peter Gade, Christos Chronopoulos, Aparna Harichandran, Nashwan Dawood, Farzad Pour Rahimian, Faris Elghaish, Sandra Matarneh, G. Fang, Wei Wang, Shiyang Zhu, Lucian Ungureanu, Roland Chacón, Ahmed Ibrahim, Frederik Jensen, Lukas Esterle, T. Blut, G. Fan, Pengkun Liu
  • DOI: https://doi.org/10.7146/aul.455.c225
  • Serier Proceedings
  • Kategorier Faculty of Technical Sciences Institut for Ingeniørvidenskab
  • Bind/årgang Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering
  • Sider 350-358
Bidragsydere

Amin Hammad
Ali Ghelmani

Citation/Eksport

Hammad, A., & Ghelmani, A. (2022). Self-supervised Learning Approach for Excavator Activity Recognition Using Contrastive Video Representation. In J. Teizer & C. Schultz (Eds.), Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering (pp. 350-358). Aarhus Universitet. https://doi.org/10.7146/aul.455.c225