Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Xuan Weihao"'
Autor:
Xiao, Aoran, Xuan, Weihao, Wang, Junjue, Huang, Jiaxing, Tao, Dacheng, Lu, Shijian, Yokoya, Naoto
Remote Sensing (RS) is a crucial technology for observing, monitoring, and interpreting our planet, with broad applications across geoscience, economics, humanitarian fields, etc. While artificial intelligence (AI), particularly deep learning, has ac
Externí odkaz:
http://arxiv.org/abs/2410.16602
Robust and accurate segmentation of scenes has become one core functionality in various visual recognition and navigation tasks. This has inspired the recent development of Segment Anything Model (SAM), a foundation model for general mask segmentatio
Externí odkaz:
http://arxiv.org/abs/2408.09085
Global semantic 3D understanding from single-view high-resolution remote sensing (RS) imagery is crucial for Earth Observation (EO). However, this task faces significant challenges due to the high costs of annotations and data collection, as well as
Externí odkaz:
http://arxiv.org/abs/2406.18151
Autor:
Xiao, Aoran, Xuan, Weihao, Qi, Heli, Xing, Yun, Ren, Ruijie, Zhang, Xiaoqin, Shao, Ling, Lu, Shijian
The recent Segment Anything Model (SAM) has demonstrated remarkable zero-shot capability and flexible geometric prompting in general image segmentation. However, SAM often struggles when handling various unconventional images, such as aerial, medical
Externí odkaz:
http://arxiv.org/abs/2402.03631
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Autor:
Xiao, Aoran, Huang, Jiaxing, Xuan, Weihao, Ren, Ruijie, Liu, Kangcheng, Guan, Dayan, Saddik, Abdulmotaleb El, Lu, Shijian, Xing, Eric
Robust point cloud parsing under all-weather conditions is crucial to level-5 autonomy in autonomous driving. However, how to learn a universal 3D semantic segmentation (3DSS) model is largely neglected as most existing benchmarks are dominated by po
Externí odkaz:
http://arxiv.org/abs/2304.00690
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing October 2024 216:217-228
Autor:
Xuan, Weihao, Ren, Ruijie
In order to drive safely on the road, autonomous vehicle is expected to predict future outcomes of its surrounding environment and react properly. In fact, many researchers have been focused on solving behavioral prediction problems for autonomous ve
Externí odkaz:
http://arxiv.org/abs/1909.10737
Publikováno v:
In IFAC PapersOnLine 2020 53(5):813-816
Publikováno v:
In IFAC PapersOnLine 2020 53(2):2582-2587
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