Zobrazeno 1 - 10
of 7 414
pro vyhledávání: '"Ambrus A."'
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
We discuss the effect of rigid rotation on critical temperatures of deconfinement and chiral transitions in the linear sigma model coupled to quarks and the Polyakov loop. We point out the essential role of the causality condition, which requires tha
Externí odkaz:
http://arxiv.org/abs/2407.07828
Stochastic multi-armed bandits (MABs) provide a fundamental reinforcement learning model to study sequential decision making in uncertain environments. The upper confidence bounds (UCB) algorithm gave birth to the renaissance of bandit algorithms, as
Externí odkaz:
http://arxiv.org/abs/2406.05710
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:
Fang, Jiading, Tan, Xiangshan, Lin, Shengjie, Vasiljevic, Igor, Guizilini, Vitor, Mei, Hongyuan, Ambrus, Rares, Shakhnarovich, Gregory, Walter, Matthew R
If robots are to work effectively alongside people, they must be able to interpret natural language references to objects in their 3D environment. Understanding 3D referring expressions is challenging -- it requires the ability to both parse the 3D s
Externí odkaz:
http://arxiv.org/abs/2404.19221
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
Due to the spin-orbit coupling, Dirac fermions, submerged in a thermal bath with finite macroscopic vorticity, exhibit a spin polarisation along the direction parallel to the vorticity vector $\boldsymbol{\Omega}$. Due to the symmetries of the Lagran
Externí odkaz:
http://arxiv.org/abs/2403.19755
In this paper, we consider the effect of interactions on the local, average polarization of a quantum plasma of massless fermion particles characterized by vector, axial, and helical quantum numbers. Due to the helical and axial vortical effects, per
Externí odkaz:
http://arxiv.org/abs/2403.19756
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