Zobrazeno 1 - 10
of 579
pro vyhledávání: '"Zakharov Sergey"'
Autor:
Xu, Yinshuang, Chen, Dian, Liu, Katherine, Zakharov, Sergey, Ambrus, Rares, Daniilidis, Kostas, Guizilini, Vitor
Incorporating inductive bias by embedding geometric entities (such as rays) as input has proven successful in multi-view learning. However, the methods adopting this technique typically lack equivariance, which is crucial for effective 3D learning. E
Externí odkaz:
http://arxiv.org/abs/2411.07326
Autor:
Tian, Stephen, Wulfe, Blake, Sargent, Kyle, Liu, Katherine, Zakharov, Sergey, Guizilini, Vitor, Wu, Jiajun
Large-scale visuomotor policy learning is a promising approach toward developing generalizable manipulation systems. Yet, policies that can be deployed on diverse embodiments, environments, and observational modalities remain elusive. In this work, w
Externí odkaz:
http://arxiv.org/abs/2409.03685
Autor:
Chaudhury, Arkadeep Narayan, Vasiljevic, Igor, Zakharov, Sergey, Guizilini, Vitor, Ambrus, Rares, Narasimhan, Srinivasa, Atkeson, Christopher G.
Synthesizing accurate geometry and photo-realistic appearance of small scenes is an active area of research with compelling use cases in gaming, virtual reality, robotic-manipulation, autonomous driving, convenient product capture, and consumer-level
Externí odkaz:
http://arxiv.org/abs/2409.03061
The common trade-offs of state-of-the-art methods for multi-shape representation (a single model "packing" multiple objects) involve trading modeling accuracy against memory and storage. We show how to encode multiple shapes represented as continuous
Externí odkaz:
http://arxiv.org/abs/2406.04309
Autor:
Irshad, Muhammad Zubair, Zakharov, Sergey, Guizilini, Vitor, Gaidon, Adrien, Kira, Zsolt, Ambrus, Rares
Neural fields excel in computer vision and robotics due to their ability to understand the 3D visual world such as inferring semantics, geometry, and dynamics. Given the capabilities of neural fields in densely representing a 3D scene from 2D images,
Externí odkaz:
http://arxiv.org/abs/2404.01300
Autor:
Iwase, Shun, Liu, Katherine, Guizilini, Vitor, Gaidon, Adrien, Kitani, Kris, Ambrus, Rares, Zakharov, Sergey
We present a 3D scene completion method that recovers the complete geometry of multiple unseen objects in complex scenes from a single RGB-D image. Despite notable advancements in single-object 3D shape completion, high-quality reconstructions in hig
Externí odkaz:
http://arxiv.org/abs/2403.14628
Autor:
Ikeda, Takuya, Zakharov, Sergey, Ko, Tianyi, Irshad, Muhammad Zubair, Lee, Robert, Liu, Katherine, Ambrus, Rares, Nishiwaki, Koichi
This paper addresses the challenging problem of category-level pose estimation. Current state-of-the-art methods for this task face challenges when dealing with symmetric objects and when attempting to generalize to new environments solely through sy
Externí odkaz:
http://arxiv.org/abs/2402.12647
Autor:
Lunayach, Mayank, Zakharov, Sergey, Chen, Dian, Ambrus, Rares, Kira, Zsolt, Irshad, Muhammad Zubair
In this work, we address the challenging task of 3D object recognition without the reliance on real-world 3D labeled data. Our goal is to predict the 3D shape, size, and 6D pose of objects within a single RGB-D image, operating at the category level
Externí odkaz:
http://arxiv.org/abs/2310.12974
Publikováno v:
E3S Web of Conferences, Vol 315, p 02010 (2021)
The article discusses the risks and factors of electrical safety that affect the working person. Electrical injury, in comparison with other types of industrial injuries, is a relatively small percentage, however, in terms of the number of injuries w
Externí odkaz:
https://doaj.org/article/420de8cc92bd453993dcf1b07b09b5c8
Publikováno v:
E3S Web of Conferences, Vol 174, p 03025 (2020)
The article assesses electrical safety in electrical installations, considers the risks and factors affecting a working person. Electrical injury, compared with other types of industrial injuries, is a relatively small percentage, however, the number
Externí odkaz:
https://doaj.org/article/fc4b772943a74164983ab409bf9cc668