Zobrazeno 1 - 10
of 765
pro vyhledávání: '"Zeng, Long"'
Autor:
Tang, Yifan, Tai, Cong, Chen, Fangxing, Zhang, Wanting, Zhang, Tao, Liu, Xueping, Liu, Yongjin, Zeng, Long
Publikováno v:
IEEE International Conference on Robotics & Automation,2024
Most existing robotic datasets capture static scene data and thus are limited in evaluating robots' dynamic performance. To address this, we present a mobile robot oriented large-scale indoor dataset, denoted as THUD (Tsinghua University Dynamic) rob
Externí odkaz:
http://arxiv.org/abs/2406.19791
In the present paper, we study the properties of $\phi$-meson longitudinal leading-twist light-cone distribution amplitude $\phi_{2;{\phi}}^{\|}(x,\mu)$ by starting from a light-cone harmonic oscillator model for its wavefunction. To fix the input pa
Externí odkaz:
http://arxiv.org/abs/2403.10003
Despite the success in 6D pose estimation in bin-picking scenarios, existing methods still struggle to produce accurate prediction results for symmetry objects and real world scenarios. The primary bottlenecks include 1) the ambiguity keypoints cause
Externí odkaz:
http://arxiv.org/abs/2403.09317
Existing Object Pose Estimation (OPE) methods for stacked scenarios are not robust to changes in object scale. This paper proposes a new 6DoF OPE network (NormNet) for different scale objects in stacked scenarios. Specifically, each object's scale is
Externí odkaz:
http://arxiv.org/abs/2311.09269
Autor:
Zeng, Long, Wu, Kaigui
Transformers have achieved significant success in medical image segmentation, owing to its capability to capture long-range dependencies. Previous works incorporate convolutional layers into the encoder module of transformers, thereby enhancing their
Externí odkaz:
http://arxiv.org/abs/2310.10957
Autor:
Ni, Zhe, Deng, Xiaoxin, Tai, Cong, Zhu, Xinyue, Xie, Qinghongbing, Huang, Weihang, Wu, Xiang, Zeng, Long
Recent works have shown that Large Language Models (LLMs) can facilitate the grounding of instructions for robotic task planning. Despite this progress, most existing works have primarily focused on utilizing raw images to aid LLMs in understanding e
Externí odkaz:
http://arxiv.org/abs/2309.07726
Publikováno v:
Eur. Phys. J. C 84 (2024) 15
The $\eta^{(\prime)}$-mesons in the quark-flavor basis are mixtures of two mesonic states $|\eta_{q}\rangle=|\bar u u+\bar d d\rangle/\sqrt 2$ and $|\eta_{s}\rangle=|\bar s s\rangle$. In the previous work, we have made a detailed study on the $\eta_{
Externí odkaz:
http://arxiv.org/abs/2307.04640
Autor:
Zhang, Hao, Liang, Hongzhuo, Cong, Lin, Lyu, Jianzhi, Zeng, Long, Feng, Pingfa, Zhang, Jianwei
Grasping an object when it is in an ungraspable pose is a challenging task, such as books or other large flat objects placed horizontally on a table. Inspired by human manipulation, we address this problem by pushing the object to the edge of the tab
Externí odkaz:
http://arxiv.org/abs/2302.13328
Most existing image inpainting algorithms are based on a single view, struggling with large holes or the holes containing complicated scenes. Some reference-guided algorithms fill the hole by referring to another viewpoint image and use 2D image alig
Externí odkaz:
http://arxiv.org/abs/2211.04831
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 44, Iss 2, Pp 220-226 (2024)
Intelligent control systems can effectively assist in the construction and management of laboratory animal facilities, improving operational efficiency, ensuring the reliability of animal experimental results, and significantly saving human resources
Externí odkaz:
https://doaj.org/article/e41eb805136f4752b7d5c09cc48eb7ff