Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Gao, Kyle"'
Autor:
Huang, Xun, Xu, Ziyu, Wu, Hai, Wang, Jinlong, Xia, Qiming, Xia, Yan, Li, Jonathan, Gao, Kyle, Wen, Chenglu, Wang, Cheng
LiDAR-based vision systems are integral for 3D object detection, which is crucial for autonomous navigation. However, they suffer from performance degradation in adverse weather conditions due to the quality deterioration of LiDAR point clouds. Fusin
Externí odkaz:
http://arxiv.org/abs/2408.03677
3D Transformers have achieved great success in point cloud understanding and representation. However, there is still considerable scope for further development in effective and efficient Transformers for large-scale LiDAR point cloud scene segmentati
Externí odkaz:
http://arxiv.org/abs/2405.15826
3D urban scene reconstruction and modelling is a crucial research area in remote sensing with numerous applications in academia, commerce, industry, and administration. Recent advancements in view synthesis models have facilitated photorealistic 3D r
Externí odkaz:
http://arxiv.org/abs/2405.11021
Point cloud segmentation is one of the most important tasks in computer vision with widespread scientific, industrial, and commercial applications. The research thereof has resulted in many breakthroughs in 3D object and scene understanding. Previous
Externí odkaz:
http://arxiv.org/abs/2306.08073
Neural Radiance Field (NeRF) has recently become a significant development in the field of Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis. NeRF models have found diverse applications in robo
Externí odkaz:
http://arxiv.org/abs/2210.00379
Although the application of Transformers in 3D point cloud processing has achieved significant progress and success, it is still challenging for existing 3D Transformer methods to efficiently and accurately learn both valuable global features and val
Externí odkaz:
http://arxiv.org/abs/2209.11255
Transformers have been at the heart of the Natural Language Processing (NLP) and Computer Vision (CV) revolutions. The significant success in NLP and CV inspired exploring the use of Transformers in point cloud processing. However, how do Transformer
Externí odkaz:
http://arxiv.org/abs/2205.07417
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation August 2024 132
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation April 2024 128
Autor:
Cai, Yuwei, Hu, Bingxu, He, Hongjie, Gao, Kyle, Xu, Hongzhang, Zhang, Ying, Pirasteh, Saied, Wang, Xiuqing, Chen, Wenping, Li, Huxiong
Publikováno v:
In The Egyptian Journal of Remote Sensing and Space Sciences March 2024 27(1):108-119