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pro vyhledávání: '"Inuganti, Sandeep"'
Autor:
Lin, Yongliang, Su, Yongzhi, Inuganti, Sandeep, Di, Yan, Ajilforoushan, Naeem, Yang, Hanqing, Zhang, Yu, Rambach, Jason
Estimating the 6D pose of an object from a single RGB image is a critical task that becomes additionally challenging when dealing with symmetric objects. Recent approaches typically establish one-to-one correspondences between image pixels and 3D obj
Externí odkaz:
http://arxiv.org/abs/2405.10557
Autor:
Lin, Yongliang, Su, Yongzhi, Nathan, Praveen, Inuganti, Sandeep, Di, Yan, Sundermeyer, Martin, Manhardt, Fabian, Stricker, Didier, Rambach, Jason, Zhang, Yu
In this work, we present a novel dense-correspondence method for 6DoF object pose estimation from a single RGB-D image. While many existing data-driven methods achieve impressive performance, they tend to be time-consuming due to their reliance on re
Externí odkaz:
http://arxiv.org/abs/2311.12588
Research in scene graph generation has quickly gained traction in the past few years because of its potential to help in downstream tasks like visual question answering, image captioning, etc. Many interesting approaches have been proposed to tackle
Externí odkaz:
http://arxiv.org/abs/2008.03555
Akademický článek
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