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In natural images, the scales (thickness) of object skeletons may dramatically vary among objects and object parts, making object skeleton detection a challenging problem. We present a new convolutional neural network (CNN) architecture by…

计算机视觉与模式识别 · 计算机科学 2018-08-14 Kai Zhao , Wei Shen , Shanghua Gao , Dandan Li , Ming-Ming Cheng

We introduce a new class of unfitted finite element methods with high order accurate numerical integration over curved surfaces and volumes which are only implicitly defined by level set functions. An unfitted finite element method which is…

数值分析 · 数学 2015-12-10 Christoph Lehrenfeld

Multiscale mixed methods based on non-overlapping domain decompositions can efficiently handle the solution of significant subsurface flow problems in very heterogeneous formations of interest to the industry, especially when implemented on…

数值分析 · 数学 2025-02-25 Dilong Zhou , Rafael Guiraldello , Felipe Pereira

This paper introduces a volume-conserving interface tracking algorithm on unstructured triangle meshes. We propose to discretize the interface via triangle edge cuts which represent the intersections between the interface and the triangle…

图形学 · 计算机科学 2024-10-21 Mengdi Wang , Matthew Cong , Bo Zhu

In this paper, stable and "low-diffusive" multidimensional interface capturing (IC) schemes using slope limiters are discussed. It is known that direction-by-direction slope-limited MUSCL schemes create geometrical artifacts and thus return…

计算工程、金融与科学 · 计算机科学 2016-05-24 Florian De Vuyst , Marie Béchereau , Thibault Gasc , Renaud Motte , Mathieu Peybernes , Raphael Poncet

Recent semi-dense image matching methods have achieved remarkable success, but two long-standing issues still impair their performance. At the coarse stage, the over-exclusion issue of their mutual nearest neighbor (MNN) matching layer…

计算机视觉与模式识别 · 计算机科学 2026-04-09 Ke Jin , Jiming Chen , Qi Ye

In this paper, we propose a scalable image compression scheme, including the base layer for feature representation and enhancement layer for texture representation. More specifically, the base layer is designed as the deep learning feature…

计算机视觉与模式识别 · 计算机科学 2019-08-27 Shurun Wang , Shiqi Wang , Xinfeng Zhang , Shanshe Wang , Siwei Ma , Wen Gao

A well-known drawback of the Volume-Of-Fluid (VOF) method is that the breakup of thin liquid films or filaments is mainly caused by numerical aspects rather than by physical ones. The rupture of thin films occurs when their thickness…

流体动力学 · 物理学 2022-07-25 Leonardo Chirco , Jacob Maarek , Stephane Popinet , Stephane Zaleski

This work develops advanced numerical methods for free-surface simulations of polymer mixing processes, integrating a Volume of Fluid (VOF) interface-capturing approach with a non-conforming Immersed Boundary (IB) method to model two-phase…

The interfacial diffusion associated with finite volume method (FVM) discretizations of multiphase flows creates the need for an interface sharpening mechanism. Such solutions for structured quadrilateral grids are well documented, but…

流体动力学 · 物理学 2026-03-05 J. Marziale , J. Sun , D. Salac , J. Chen

A low-dissipation numerical method for compressible gas-liquid two-phase flow with phase change on unstructured grids is proposed. The governing equations adopt the six-equation model. The non-conservative terms included in the volume…

流体动力学 · 物理学 2024-11-13 Hiro Wakimura , Takayuki Aoki , Feng Xiao

We present a hybrid Volume-of-Fluid (VoF) Phase-Field method for general soluble surfactant-laden interfacial flows. The scheme retains the VoF method for interface tracking and momentum solution, while a diffused Phase-Field serves as a…

流体动力学 · 物理学 2026-05-28 Ilies Haouche , Benjamin Reichert , Michaël Baudoin , Palas Kumar Farsoiya

We introduce a fast and robust algorithm for finding a plane $\Gamma$ with given normal $\vec{n}_\Gamma$, which truncates an arbitrary polyhedron $\mathcal{P}$ such that the remaining sub-polyhedron admits a given volume…

计算几何 · 计算机科学 2021-11-24 Johannes Kromer , Dieter Bothe

Robust local feature representations are essential for spatial intelligence tasks such as robot navigation and augmented reality. Establishing reliable correspondences requires descriptors that provide both high discriminative power and…

计算机视觉与模式识别 · 计算机科学 2026-01-15 Haodi Yao , Fenghua He , Ning Hao , Yao Su

As one of the most popular interface-capturing methods, the level-set method is inherently non-conservative, and its evolution usually leads to unphysical mass gain/loss. In this paper, a novel conservative level set method is developed for…

计算物理 · 物理学 2022-02-22 Tian Long , Jinsheng Cai , Shucheng Pan

This paper introduces a novel approach to compute the numerical fluxes at the cell boundaries in the finite volume approach. Explicit gradients used in deriving the reconstruction polynomials are replaced by high-order gradients computed by…

We consider the reconstruction problem of video compressive sensing (VCS) under the deep unfolding/rolling structure. Yet, we aim to build a flexible and concise model using minimum stages. Different from existing deep unfolding networks…

图像与视频处理 · 电气工程与系统科学 2022-01-24 Siming Zheng , Xiaoyu Yang , Xin Yuan

Volume of fluid(VOF) method is a sharp interface method employed for simulations of two phase flows. Interface in VOF is usually represented using piecewise linear line segments in each computational grid based on the volume fraction field.…

计算物理 · 物理学 2021-02-02 Ananthan M , Gaurav Tomar

Surface-from-gradients (SfG) aims to recover a three-dimensional (3D) surface from its gradients. Traditional methods encounter significant challenges in achieving high accuracy and handling high-resolution inputs, particularly facing the…

计算机视觉与模式识别 · 计算机科学 2025-01-22 Jiaqi Leng , Yakun Ju , Yuanxu Duan , Jiangnan Zhang , Qingxuan Lv , Zuxuan Wu , Hao Fan

The complexity of binary droplet collisions increases for the collision of immiscible liquids with the occurrence of triple lines and thin encapsulating films. The Volume of Fluid (VOF) method is extended with an efficient interface…

流体动力学 · 物理学 2023-06-22 Johanna Potyka , Kathrin Schulte