We propose a new continuum model for a random genetic drift problem by
e...
As a method of image restoration, image super-resolution has been extens...
Temporal action localization in videos presents significant challenges i...
We present high-order variational Lagrangian finite element methods for
...
Dense pose estimation is a dense 3D prediction task for instance-level h...
Human matting refers to extracting human parts from natural images with ...
A second order accurate (in time) numerical scheme is proposed and analy...
Inspired by the modeling of grain growth in polycrystalline materials, w...
We propose structure-preserving neural-network-based numerical schemes t...
In this paper, we propose a deterministic particle-FEM discretization to...
In this paper, we propose a deterministic variational inference approach...
A second-order accurate in time, positivity-preserving, and unconditiona...
In this paper, we develop a sharp interface tumor growth model to study ...
Many technologically useful materials are polycrystals composed of small...
We present a detailed convergence analysis for an operator splitting sch...
Many technologically useful materials are polycrystals composed of a myr...
As one of the most important basic operations, matrix multiplication
com...
We develop a special phase field/diffusive interface method to model the...
In this paper, a thermal-dynamical consistent model for mass transfer ac...
Wormlike micelles are self-assemblies of polymer chains that can break a...
In this paper, we propose and analyze a positivity-preserving, energy st...
Multiple human parsing aims to segment various human parts and associate...
In this paper we propose and analyze a finite difference numerical schem...
In this work, we develop novel structure-preserving numerical schemes fo...
The porous medium equation (PME) is a typical nonlinear degenerate parab...
We introduce a new variational inference framework, called energetic
var...
The Cahn–Hilliard equation is one of the most common models to describe
...
In this paper, we propose a variational Lagrangian scheme for a modified...
In object detection, offset-guided and point-guided regression dominate
...
In this paper, we develop a sharp interface tumor growth model to study ...
We develop a computational method for simulating the nonlinear dynamics ...
We propose a new Lagrange Multiplier approach to design unconditional en...
We propose an edge averaged finite element(EAFE) discretization to solve...
We develop a new Lagrangian approach — flow dynamic approach to effectiv...
The porous medium equation (PME) is a typical nonlinear degenerate parab...
Railway transportation is the artery of China's national economy and pla...
Deep learning is revolutionizing the mapping industry. Under lightweight...
The performance of different mutation operators is usually evaluated in
...