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pro vyhledávání: '"P. Monasse"'
We introduce a method that simultaneously learns to explore new large environments and to reconstruct them in 3D from color images only. This is closely related to the Next Best View problem (NBV), where one has to identify where to move the camera n
Externí odkaz:
http://arxiv.org/abs/2303.03315
Next Best View computation (NBV) is a long-standing problem in robotics, and consists in identifying the next most informative sensor position(s) for reconstructing a 3D object or scene efficiently and accurately. Like most current methods, we consid
Externí odkaz:
http://arxiv.org/abs/2208.10449
Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited. In this paper, we argue that this comes from the difficulty to learn and render high frequency textures with neural netwo
Externí odkaz:
http://arxiv.org/abs/2112.09648
Deep multi-view stereo (MVS) methods have been developed and extensively compared on simple datasets, where they now outperform classical approaches. In this paper, we ask whether the conclusions reached in controlled scenarios are still valid when w
Externí odkaz:
http://arxiv.org/abs/2104.15119
Quasi-static crack propagation with a Griffith criterion using a variational discrete element method
Publikováno v:
Comput Mech 69, 527-539 (2022)
A variational discrete element method is applied to simulate quasi-static crack propagation. Cracks are considered to propagate between the mesh cells through the mesh facets. The elastic behaviour is parametrized by the continuous mechanical paramet
Externí odkaz:
http://arxiv.org/abs/2101.02763
We tackle the problem of finding accurate and robust keypoint correspondences between images. We propose a learning-based approach to guide local feature matches via a learned approximate image matching. Our approach can boost the results of SIFT to
Externí odkaz:
http://arxiv.org/abs/2010.10959
Publikováno v:
Computer Methods in Applied Mechanics and Engineering Volume 347, 15 April 2019, Pages 906-927
We propose a new explicit pseudo-energy and momentum conserving scheme for the time integration of Hamiltonian systems. The scheme, which is formally second-order accurate, is based on two key ideas: the integration during the time-steps of forces be
Externí odkaz:
http://arxiv.org/abs/2008.06000
The aim of this work is to propose a provably convergent finite volume scheme for the so-called Stefan-Maxwell model, which describes the evolution of the composition of a multi-component mixture and reads as a cross-diffusion system. The scheme prop
Externí odkaz:
http://arxiv.org/abs/2007.09951
Autor:
Monasse, Bernard, Boussinot, Frédéric
United-Atom (UA) force fields are usually constructed using a Boltzmann-inverse method based on distributions obtained from Monte-Carlo simulations. A new method of constructing UA force fields from All-Atom (AA) molecular dynamics simulations is pro
Externí odkaz:
http://arxiv.org/abs/2003.01180
Publikováno v:
Int J Numer Methods Eng. 2020; 121: 5295-5319
We propose a new discrete element method supporting general polyhedral meshes. The method can be understood as a lowest-order discontinuous Galerkin method parametrized by the continuous mechanical parameters (Young's modulus and Poisson's ratio). We
Externí odkaz:
http://arxiv.org/abs/1911.00738