Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Qin, Fangbo"'
Towards flexible object-centric visual perception, we propose a one-shot instance-aware object keypoint (OKP) extraction approach, AnyOKP, which leverages the powerful representation ability of pretrained vision transformer (ViT), and can obtain keyp
Externí odkaz:
http://arxiv.org/abs/2309.08134
Autor:
Wang, Xiaofeng, Zhu, Zheng, Qin, Fangbo, Ye, Yun, Huang, Guan, Chi, Xu, He, Yijia, Wang, Xingang
Learning-based Multi-View Stereo (MVS) methods warp source images into the reference camera frustum to form 3D volumes, which are fused as a cost volume to be regularized by subsequent networks. The fusing step plays a vital role in bridging 2D seman
Externí odkaz:
http://arxiv.org/abs/2204.07346
Autor:
Yu, Congyu, Qin, Fangbo, Watanabe, Akinobu, Yao, Weiqi, Li, Ying, Qin, Zichuan, Liu, Yuming, Wang, Haibing, Jiangzuo, Qigao, Hsiang, Allison Y., Ma, Chao, Rayfield, Emily, Benton, Michael J., Xu, Xing
Publikováno v:
In Earth-Science Reviews May 2024 252
We present the novel Efficient Line Segment Detector and Descriptor (ELSD) to simultaneously detect line segments and extract their descriptors in an image. Unlike the traditional pipelines that conduct detection and description separately, ELSD util
Externí odkaz:
http://arxiv.org/abs/2104.14205
Deep learning-based methods have achieved promising results on surgical instrument segmentation. However, the high computation cost may limit the application of deep models to time-sensitive tasks such as online surgical video analysis for robotic-as
Externí odkaz:
http://arxiv.org/abs/2011.08752
Image contour based vision measurement is widely applied in robot manipulation and industrial automation. It is appealing to realize object-agnostic vision system, which can be conveniently reused for various types of objects. We propose the contour
Externí odkaz:
http://arxiv.org/abs/2010.03325
Publikováno v:
Europeon Conference on Computer Vision (2020)
This paper proposes a novel deep convolutional model, Tri-Points Based Line Segment Detector (TP-LSD), to detect line segments in an image at real-time speed. The previous related methods typically use the two-step strategy, relying on either heurist
Externí odkaz:
http://arxiv.org/abs/2009.05505
Intelligent vision is appealing in computer-assisted and robotic surgeries. Vision-based analysis with deep learning usually requires large labeled datasets, but manual data labeling is expensive and time-consuming in medical problems. We investigate
Externí odkaz:
http://arxiv.org/abs/2003.04949
Accurate and real-time surgical instrument segmentation is important in the endoscopic vision of robot-assisted surgery, and significant challenges are posed by frequent instrument-tissue contacts and continuous change of observation perspective. For
Externí odkaz:
http://arxiv.org/abs/2002.10675
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.