Zobrazeno 1 - 10
of 7 875
pro vyhledávání: '"Guo-Sheng an"'
Autor:
Zhang, Zhengshen, Zhou, Lei, Liu, Chenchen, Liu, Zhiyang, Yuan, Chengran, Guo, Sheng, Zhao, Ruiteng, Ang Jr., Marcelo H., Tay, Francis EH
The versatility and adaptability of human grasping catalyze advancing dexterous robotic manipulation. While significant strides have been made in dexterous grasp generation, current research endeavors pivot towards optimizing object manipulation whil
Externí odkaz:
http://arxiv.org/abs/2407.09899
Regression loss design is an essential topic for oriented object detection. Due to the periodicity of the angle and the ambiguity of width and height definition, traditional L1-distance loss and its variants have been suffered from the metric discont
Externí odkaz:
http://arxiv.org/abs/2312.07048
Autor:
Jing-Xiao Li, Gui-Yu Feng, Kun-Lin He, Guo-Sheng Li, Xiang Gao, Guan-Qiang Yan, Long-Qian Wei, Xu He, Yue Li, Zong-Wang Fu, Jun Liu, Hua-Fu Zhou
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective Lymph node metastasis (LNM) is one of the most common pathways of metastasis in non-small cell lung cancer (NSCLC). Preoperative assessment of occult lymph node metastasis (OLNM) in NSCLC patients is beneficial for selecting approp
Externí odkaz:
https://doaj.org/article/42a576e896af4538bc61d176aa5e20d7
Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies. On the contrary, recent query-based object detectors depend on a spars
Externí odkaz:
http://arxiv.org/abs/2304.04978
In this paper, we study the problem of procedure planning in instructional videos, which aims to make goal-directed plans given the current visual observations in unstructured real-life videos. Previous works cast this problem as a sequence planning
Externí odkaz:
http://arxiv.org/abs/2303.14676
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background The role of hemoglobin (HGB) in common malignant tumors remains unclear. Methods A retrospective analysis was conducted to identify the correlation between HGB levels and risk of 15 malignant tumors using 50,085 samples from the N
Externí odkaz:
https://doaj.org/article/f77e87ee170747f5adba760cf9f0f092
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract KNOXs, a type of homeobox genes that encode atypical homeobox proteins, play an essential role in the regulation of growth and development, hormonal response, and abiotic stress in plants. However, the KNOX gene family has not been explored
Externí odkaz:
https://doaj.org/article/1dedebfc9e5d48d19e07ca71c60ce0ca
Autor:
Chen, Yuanyuan, Chen, Zichen, Guo, Sheng, Zhao, Yansong, Liu, Zelei, Wu, Pengcheng, Yang, Chengyi, Li, Zengxiang, Yu, Han
Artificial intelligence (AI)-empowered industrial fault diagnostics is important in ensuring the safe operation of industrial applications. Since complex industrial systems often involve multiple industrial plants (possibly belonging to different com
Externí odkaz:
http://arxiv.org/abs/2302.11485
Current RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained depth network is still biased by RGB-based models which may result in
Externí odkaz:
http://arxiv.org/abs/2302.06148
Autor:
Shi, Zifan, Shen, Yujun, Xu, Yinghao, Peng, Sida, Liao, Yiyi, Guo, Sheng, Chen, Qifeng, Yeung, Dit-Yan
Existing methods for 3D-aware image synthesis largely depend on the 3D pose distribution pre-estimated on the training set. An inaccurate estimation may mislead the model into learning faulty geometry. This work proposes PoF3D that frees generative r
Externí odkaz:
http://arxiv.org/abs/2301.07702