Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Luo, Haowen"'
Multi-robot global localization (MR-GL) with unknown initial positions in a large scale environment is a challenging task. The key point is the data association between different robots' viewpoints. It also makes traditional Appearance-based localiza
Externí odkaz:
http://arxiv.org/abs/2406.19016
The credibility and practicality of a reconstructed hand-object interaction sequence depend largely on its physical plausibility. However, due to high occlusions during hand-object interaction, physical plausibility remains a challenging criterion fo
Externí odkaz:
http://arxiv.org/abs/2405.11481
Autor:
Wang, Weiyun, Ren, Yiming, Luo, Haowen, Li, Tiantong, Yan, Chenxiang, Chen, Zhe, Wang, Wenhai, Li, Qingyun, Lu, Lewei, Zhu, Xizhou, Qiao, Yu, Dai, Jifeng
We present the All-Seeing Project V2: a new model and dataset designed for understanding object relations in images. Specifically, we propose the All-Seeing Model V2 (ASMv2) that integrates the formulation of text generation, object localization, and
Externí odkaz:
http://arxiv.org/abs/2402.19474
Publikováno v:
In Clinical Neurology and Neurosurgery July 2024 242
Autor:
Luo, Haowen, Zhang, Yingying, Yi, Wentao, Zhang, Simin, Zhang, Qianqian, Xing, Pipeng, Tang, Xiangru
Publikováno v:
In European Journal of Agronomy April 2024 155
Publikováno v:
Managerial Finance, 2023, Vol. 49, Issue 8, pp. 1265-1296.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MF-03-2020-0095
Autor:
Luo, Haowen1 (AUTHOR), Li, Jingyi1,2 (AUTHOR), Chen, Yongsen1,2 (AUTHOR), Wu, Bin1,2 (AUTHOR), Liu, Jianmo1 (AUTHOR), Han, Mengqi1,2 (AUTHOR), Wu, Yifan1,2 (AUTHOR), Jia, Weijie1,2 (AUTHOR), Yu, Pengfei1 (AUTHOR), Cheng, Rui1,2 (AUTHOR), Wang, Xiaoman1,2 (AUTHOR), Ke, Jingyao1,2 (AUTHOR), Xian, Hongfei1,2 (AUTHOR), Tu, Jianglong3 (AUTHOR) Tujianglong85@126.com, Yi, Yingping1 (AUTHOR) yyp66@126.com
Publikováno v:
BMC Neurology. 1/25/2024, Vol. 24 Issue 1, p1-15. 15p.
Although deep learning has achieved great success in image classification tasks, its performance is subject to the quantity and quality of training samples. For classification of polarimetric synthetic aperture radar (PolSAR) images, it is nearly imp
Externí odkaz:
http://arxiv.org/abs/2006.15771
Autor:
Luo, Haowen, Duan, Meiyang, Xing, Pipeng, Zhang, Yingying, Qi, Jianying, Kong, Leilei, Tang, Xiangru
Publikováno v:
In Field Crops Research 1 November 2023 303
Autor:
Luo, Haowen, Imran, Muhammad, Yao, Xiangbin, Zhang, Simin, Yi, Wentao, Xing, Pipeng, Tang, Xiangru
Publikováno v:
In European Journal of Agronomy September 2023 149