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pro vyhledávání: '"Chen, Yiye"'
Autor:
Saunders, Jack, Hewitt, Charlie, Jian, Yanan, Kowalski, Marek, Baltrusaitis, Tadas, Chen, Yiye, Cosker, Darren, Estellers, Virginia, Gyde, Nicholas, Namboodiri, Vinay P., Lundell, Benjamin E
Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars. Recent works have pushed the boundaries of quality
Externí odkaz:
http://arxiv.org/abs/2412.07739
Recent works have shown that sequence modeling can be effectively used to train reinforcement learning (RL) policies. However, the success of applying existing sequence models to planning, in which we wish to obtain a trajectory of actions to reach s
Externí odkaz:
http://arxiv.org/abs/2303.16189
Deep neural networks are susceptible to generating overconfident yet erroneous predictions when presented with data beyond known concepts. This challenge underscores the importance of detecting out-of-distribution (OOD) samples in the open world. In
Externí odkaz:
http://arxiv.org/abs/2303.07543
We propose a new 6-DoF grasp pose synthesis approach from 2D/2.5D input based on keypoints. Keypoint-based grasp detector from image input has demonstrated promising results in the previous study, where the additional visual information provided by c
Externí odkaz:
http://arxiv.org/abs/2303.05617
Great success has been achieved in the 6-DoF grasp learning from the point cloud input, yet the computational cost due to the point set orderlessness remains a concern. Alternatively, we explore the grasp generation from the RGB-D input in this paper
Externí odkaz:
http://arxiv.org/abs/2209.08752
Publikováno v:
In Contact Lens and Anterior Eye October 2024 47(5)
We consider the task of grasping a target object based on a natural language command query. Previous work primarily focused on localizing the object given the query, which requires a separate grasp detection module to grasp it. The cascaded applicati
Externí odkaz:
http://arxiv.org/abs/2104.00492
Akademický článek
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Autor:
Wen, Zhiying1 (AUTHOR), Chen, Yiye1 (AUTHOR), Wu, Longfei1 (AUTHOR), Tian, Hanchen1 (AUTHOR), Zhu, Ni1 (AUTHOR), Guo, Yongqing1 (AUTHOR), Deng, Ming1 (AUTHOR), Liu, Jianying2 (AUTHOR) 59069847@qq.com, Sun, Baoli1 (AUTHOR) baolisun@scau.edu.cn
Publikováno v:
AMB Express. 5/25/2022, Vol. 12 Issue 1, p1-12. 12p.
Akademický článek
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