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pro vyhledávání: '"Lin, Fanqing"'
Autor:
Lin, Fanqing, Martinez, Tony
Color-based two-hand 3D pose estimation in the global coordinate system is essential in many applications. However, there are very few datasets dedicated to this task and no existing dataset supports estimation in a non-laboratory environment. This i
Externí odkaz:
http://arxiv.org/abs/2206.04927
As deep neural networks become the state-of-the-art approach in the field of computer vision for dense prediction tasks, many methods have been developed for automatic estimation of the target outputs given the visual inputs. Although the estimation
Externí odkaz:
http://arxiv.org/abs/2112.10969
Hand segmentation and detection in truly unconstrained RGB-based settings is important for many applications. However, existing datasets are far from sufficient in terms of size and variety due to the infeasibility of manual annotation of large amoun
Externí odkaz:
http://arxiv.org/abs/2011.07252
We tackle the challenging task of estimating global 3D joint locations for both hands via only monocular RGB input images. We propose a novel multi-stage convolutional neural network based pipeline that accurately segments and locates the hands despi
Externí odkaz:
http://arxiv.org/abs/2006.01320
Publikováno v:
In Image and Vision Computing February 2020 94
Akademický článek
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Autor:
Zhang, Yuan, Lin, Fanqing
Publikováno v:
Human & Ecological Risk Assessment; 2024, Vol. 30 Issue 1/2, p58-76, 19p
Autor:
Lin, Fanqing
Publikováno v:
Theses and Dissertations.
Pose estimation and tracking is essential for applications involving human controls. Specifically, as the primary operating tool for human activities, hand pose estimation plays a significant role in applications such as hand tracking, gesture recogn
Autor:
Lin, Fanqing
Publikováno v:
Theses and Dissertations.
We tackle the task of semi-supervised video object segmentation, i.e, pixel-level object classification of the images in video sequences using very limited ground truth training data of its corresponding video. Recently introduced online adaptation
Akademický článek
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