Xuan Zhao | DeepAI

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Wei Zhang
393 publications
Dinesh Manocha
230 publications
Li Li
178 publications
Radu Timofte
174 publications
Jian Yang
171 publications
Yuan Xie
118 publications
Lin Yang
100 publications
Jun Chen
98 publications
Jia Pan
73 publications
Aleš Leonardis
63 publications
Cong Shen
44 publications

∙ 07/25/2023

Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space

Counterfactual Explanations (CEs) are an important tool in Algorithmic R...

0 Xuan Zhao, et al. ∙

∙ 05/02/2023

High-Fidelity Image Synthesis from Pulmonary Nodule Lesion Maps using Semantic Diffusion Model

Lung cancer has been one of the leading causes of cancer-related deaths ...

20 Xuan Zhao, et al. ∙

∙ 03/07/2023

Energy stability and convergence of variable-step L1 scheme for the time fractional Swift-Hohenberg model

A fully implicit numerical scheme is established for solving the time fr...

0 Xuan Zhao, et al. ∙

∙ 03/06/2023

Energy stable and L^2 norm convergent BDF3 scheme for the Swift-Hohenberg equation

A fully discrete implicit scheme is proposed for the Swift-Hohenberg mod...

0 Xuan Zhao, et al. ∙

∙ 02/28/2023

Error estimate of the nonuniform L1 type formula for the time fractional diffusion-wave equation

In this paper, a temporal nonuniform L1 type difference scheme is built ...

0 Hong Sun, et al. ∙

∙ 02/05/2023

Error analysis of the implicit variable-step BDF2 method for the molecular beam epitaxial model with slope selection

We derive unconditionally stable and convergent variable-step BDF2 schem...

0 Xuan Zhao, et al. ∙

∙ 12/08/2022

Convergence analysis of variable steps BDF2 method for the space fractional Cahn-Hilliard model

An implicit variable-step BDF2 scheme is established for solving the spa...

0 Xuan Zhao, et al. ∙

∙ 10/22/2022

Asymptotically compatible energy of variable-step fractional BDF2 formula for time-fractional Cahn-Hilliard model

A new discrete energy dissipation law of the variable-step fractional BD...

0 Hong-lin Liao, et al. ∙

∙ 06/08/2022

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation

With increasing digitalization, Artificial Intelligence (AI) is becoming...

0 Alejandra Bringas Colmenarejo, et al. ∙

∙ 05/05/2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

While achieving remarkable success for medical image segmentation, deep ...

5 Yuxin Kang, et al. ∙

∙ 02/12/2022

"I Don't Want People to Look At Me Differently": Designing User-Defined Above-the-Neck Gestures for People with Upper Body Motor Impairments

Recent research proposed eyelid gestures for people with upper-body moto...

0 Xuan Zhao, et al. ∙

∙ 11/25/2021

Homogeneous Low-Resolution Face Recognition Method based Correlation Features

Face recognition technology has been widely adopted in many mission-crit...

0 Xuan Zhao, et al. ∙

∙ 07/21/2021

Reinforcement Learning Agent Training with Goals for Real World Tasks

Reinforcement Learning (RL) is a promising approach for solving various ...

0 Xuan Zhao, et al. ∙

∙ 02/21/2021

EvoK: Connecting loved ones through Heart Rate sharing

In this work, we present EvoK, a new way of sharing one's heart rate wit...

0 Esha Shandilya, et al. ∙

∙ 08/20/2020

Autonomous Social Distancing in Urban Environments using a Quadruped Robot

COVID-19 pandemic has become a global challenge faced by people all over...

0 Tingxiang Fan, et al. ∙

∙ 05/06/2020

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

This paper reviews the Challenge on Image Demoireing that was part of th...

8 Shanxin Yuan, et al. ∙

∙ 03/05/2019

PROPS: Probabilistic personalization of black-box sequence models

We present PROPS, a lightweight transfer learning mechanism for sequenti...

0 Michael Thomas Wojnowicz, et al. ∙

∙ 01/03/2019

Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

For very large datasets, random projections (RP) have become the tool of...

0 Michael Wojnowicz, et al. ∙

∙ 09/26/2018

Robust Shape Estimation for 3D Deformable Object Manipulation

Existing shape estimation methods for deformable object manipulation suf...

0 Tao Han, et al. ∙

∙ 09/12/2018

Dynamic Robot Motion Prediction Updates in Physical Human-Robot Interactive Tasks

Human-robot collaboration is on the rise. Robots need to increasingly im...

0 Shuangda Duan, et al. ∙

∙ 07/20/2018

Considering Human Behavior in Motion Planning for Smooth Human-Robot Collaboration in Close Proximity

It is well-known that a deep understanding of co-workers' behavior and p...

0 Xuan Zhao, et al. ∙

∙ 07/16/2018

On the Information Theoretic Distance Measures and Bidirectional Helmholtz Machines

By establishing a connection between bi-directional Helmholtz machines a...

0 Mahdi Azarafrooz, et al. ∙

∙ 09/21/2017

Lazy stochastic principal component analysis

Stochastic principal component analysis (SPCA) has become a popular dime...

0 Michael Wojnowicz, et al. ∙

∙ 11/17/2016

"Influence Sketching": Finding Influential Samples In Large-Scale Regressions

There is an especially strong need in modern large-scale data analysis t...

0 Mike Wojnowicz, et al. ∙

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