no code implementations • 11 Apr 2024 • Xinwei Zhuang, Zixun Huang, Wentao Zeng, Luisa Caldas
As the global population and urbanization expand, the building sector has emerged as the predominant energy consumer and carbon emission contributor.
no code implementations • 18 Nov 2023 • Zixun Huang
This paper includes a review of current state of the art 6d pose estimation methods, as well as a discussion of which pose estimation method should be used in two types of architectural design scenarios.
no code implementations • 10 Nov 2023 • Zixun Huang, Hao Zheng
In this paper, we propose a machine learning-based approach to address the lack of ability for designers to optimize urban land use planning from the perspective of vehicle travel demand.
1 code implementation • 29 Sep 2023 • Xinwei Zhuang, Zixun Huang, Wentao Zeng, Luisa Caldas
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling.
3 code implementations • 24 Sep 2023 • Zixun Huang, Keling Yao, Seth Z. Zhao, Chuanyu Pan, Tianjian Xu, Weiyu Feng, Allen Y. Yang
The potential of digital-twin technology, involving the creation of precise digital replicas of physical objects, to reshape AR experiences in 3D object tracking and localization scenarios is significant.
no code implementations • 8 Oct 2020 • Zixun Huang, Li-Wen Wang, Frank H. F. Leung, Sunetra Banerjee, De Yang, Timothy Lee, Juan Lyu, Sai Ho Ling, Yong-Ping Zheng
In this paper, we propose a robust bone feature segmentation method based on the U-net structure for ultrasound spine Volume Projection Imaging (VPI) images.
2 code implementations • 24 Jan 2020 • Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Štern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubicek, Jiri Chmelik, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel-level by a human-machine hybrid algorithm (https://osf. io/nqjyw/, https://osf. io/t98fz/).