Výsledky vyhledávání - "Chen Jianqiu"

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ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes

Autor: Chen, Jianqiu, Zhou, Zikun, Sun, Mingshan, Bao, Tianpeng, Zhao, Rui, Wu, Liwei, He, Zhenyu

Many robotics and industry applications have a high demand for the capability to estimate the 6D pose of novel objects from the cluttered scene. However, existing classic pose estimation methods are object-specific, which can only handle the specific

Externí odkaz: http://arxiv.org/abs/2305.17934

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Geo6D: Geometric Constraints Learning for 6D Pose Estimation

Autor: Chen, Jianqiu, Sun, Mingshan, Zheng, Ye, Bao, Tianpeng, He, Zhenyu, Li, Donghai, Jin, Guoqiang, Zhao, Rui, Wu, Liwei, Jiang, Xiaoke

Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are implicitly influenced by their poses, the network allows inferring the

Externí odkaz: http://arxiv.org/abs/2210.10959

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Uni6Dv2: Noise Elimination for 6D Pose Estimation

Autor: Sun, Mingshan, Zheng, Ye, Bao, Tianpeng, Chen, Jianqiu, Jin, Guoqiang, Wu, Liwei, Zhao, Rui, Jiang, Xiaoke

Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images. We discover that the principal reasons of Uni6D performance limitations are Instance-Outside and Instance-Inside n

Externí odkaz: http://arxiv.org/abs/2208.06416

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Global Tracking via Ensemble of Local Trackers

Autor: Zhou, Zikun, Chen, Jianqiu, Pei, Wenjie, Mao, Kaige, Wang, Hongpeng, He, Zhenyu

The crux of long-term tracking lies in the difficulty of tracking the target with discontinuous moving caused by out-of-view or occlusion. Existing long-term tracking methods follow two typical strategies. The first strategy employs a local tracker t

Externí odkaz: http://arxiv.org/abs/2203.16092

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