Zobrazeno 1 - 10
of 7 119
pro vyhledávání: '"Liren An"'
Robotics applications often rely on scene reconstructions to enable downstream tasks. In this work, we tackle the challenge of actively building an accurate map of an unknown scene using an on-board RGB-D camera. We propose a hybrid map representatio
Externí odkaz:
http://arxiv.org/abs/2412.17769
Federated learning is often used in environments with many unverified participants. Therefore, federated learning under adversarial attacks receives significant attention. This paper proposes an algorithmic framework for list-decodable federated lear
Externí odkaz:
http://arxiv.org/abs/2408.04963
Autor:
Du, Qiangang, Peng, Jinlong, Chen, Xu, He, Qingdong, He, Liren, Nie, Qiang, Zhu, Wenbing, Chi, Mingmin, Wang, Yabiao, Wang, Chengjie
Change detection is widely applied in remote sensing image analysis. Existing methods require training models separately for each dataset, which leads to poor domain generalization. Moreover, these methods rely heavily on large amounts of high-qualit
Externí odkaz:
http://arxiv.org/abs/2404.11326
Object reconstruction is relevant for many autonomous robotic tasks that require interaction with the environment. A key challenge in such scenarios is planning view configurations to collect informative measurements for reconstructing an initially u
Externí odkaz:
http://arxiv.org/abs/2403.16803
Autor:
He, Liren, Jiang, Zhengkai, Peng, Jinlong, Liu, Liang, Du, Qiangang, Hu, Xiaobin, Zhu, Wenbing, Chi, Mingmin, Wang, Yabiao, Wang, Chengjie
In the field of multi-class anomaly detection, reconstruction-based methods derived from single-class anomaly detection face the well-known challenge of "learning shortcuts", wherein the model fails to learn the patterns of normal samples as it shoul
Externí odkaz:
http://arxiv.org/abs/2403.11561
Many autonomous robotic applications require object-level understanding when deployed. Actively reconstructing objects of interest, i.e. objects with specific semantic meanings, is therefore relevant for a robot to perform downstream tasks in an init
Externí odkaz:
http://arxiv.org/abs/2403.11233
We consider the multi-party classification problem introduced by Dong, Hartline, and Vijayaraghavan (2022) in the context of electronic discovery (e-discovery). Based on a request for production from the requesting party, the responding party is requ
Externí odkaz:
http://arxiv.org/abs/2401.17952
Publikováno v:
暴雨灾害, Vol 43, Iss 6, Pp 657-667 (2024)
Anthropogenic aerosols have an important impact on summer heavy precipitation, but their impact and associated mechanisms are still greatly uncertain. In this study, the WRF-Chem including the aerosol-meteorology interactions was used to investigate
Externí odkaz:
https://doaj.org/article/6f1cdbb501d74e75b9f75c825088d4bf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Fructus Choerospondiatis (FC) has been utilized in Mongolian medicine for the treatment of many diseases. This investigation assessed the coloration, five active components, total phenolic and flavonol contents, as well as the antioxidant an
Externí odkaz:
https://doaj.org/article/25132781bfd841e7b2ac084c7ff3a7d0
Neural Radiance Fields (NeRFs) are gaining significant interest for online active object reconstruction due to their exceptional memory efficiency and requirement for only posed RGB inputs. Previous NeRF-based view planning methods exhibit computatio
Externí odkaz:
http://arxiv.org/abs/2310.00684