Xing Liu | DeepAI

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∙ 07/30/2023

HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation

In this paper, we study Text-to-3D content generation leveraging 2D diff...

0 Jinbo Wu, et al. ∙

∙ 04/28/2023

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy

Kernelized Stein discrepancy (KSD) is a score-based discrepancy widely u...

0 Xing Liu, et al. ∙

∙ 04/19/2023

MTrainS: Improving DLRM training efficiency using heterogeneous memories

Recommendation models are very large, requiring terabytes (TB) of memory...

0 Hiwot Tadese Kassa, et al. ∙

∙ 02/11/2023

A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing

We prove a convergence theorem for U-statistics of degree two, where the...

0 Kevin H. Huang, et al. ∙

∙ 10/08/2022

Learning the Network of Graphs for Graph Neural Networks

Graph neural networks (GNNs) have achieved great success in many scenari...

0 Yixiang Shan, et al. ∙

∙ 05/19/2022

Strong approximation for fractional wave equation forced by fractional Brownian motion with Hurst parameter H∈(0,1/2)

We consider the time discretization of fractional stochastic wave equati...

0 Xing Liu, et al. ∙

∙ 02/07/2022

Grassmann Stein Variational Gradient Descent

Stein variational gradient descent (SVGD) is a deterministic particle in...

0 Xing Liu, et al. ∙

∙ 09/14/2021

Cross-Region Domain Adaptation for Class-level Alignment

Semantic segmentation requires a lot of training data, which necessitate...

0 Zhijie Wang, et al. ∙

∙ 09/08/2021

Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes

This paper considers matching images of low-light scenes, aiming to wide...

11 Wenzheng Song, et al. ∙

∙ 08/16/2021

3D High-Fidelity Mask Face Presentation Attack Detection Challenge

The threat of 3D masks to face recognition systems is increasingly serio...

8 Ajian Liu, et al. ∙

∙ 06/07/2021

Difference methods for time discretization of stochastic wave equation

The time discretization of stochastic spectral fractional wave equation ...

0 Xing Liu, et al. ∙

∙ 05/01/2021

High-accuracy time discretization of stochastic fractional diffusion equation

A high-accuracy time discretization is discussed to numerically solve th...

0 Xing Liu, et al. ∙

∙ 04/12/2021

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Deep learning recommendation models (DLRMs) are used across many busines...

32 Dheevatsa Mudigere, et al. ∙

∙ 01/25/2021

TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

The memory capacity of embedding tables in deep learning recommendation ...

1 Chunxing Yin, et al. ∙

∙ 01/09/2021

Pushing the Envelope of Thin Crack Detection

In this study, we consider the problem of detecting cracks from the imag...

8 Liang Xu, et al. ∙

∙ 07/06/2020

Higher order approximation for stochastic wave equation

The infinitesimal generator (fractional Laplacian) of a process obtained...

0 Xing Liu, et al. ∙

∙ 06/09/2020

Bayesian Probabilistic Numerical Integration with Tree-Based Models

Bayesian quadrature (BQ) is a method for solving numerical integration p...

1 Harrison Zhu, et al. ∙

∙ 03/03/2020

UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking

To promote the development of underwater robot picking in sea farms, we ...

4 Zhihui Wang, et al. ∙

∙ 12/23/2019

2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm

In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for...

0 Xing Liu, et al. ∙

∙ 12/23/2019

A Compared Study Between Some Subspace Based Algorithms

The technology of face recognition has made some progress in recent year...

0 Xing Liu, et al. ∙

∙ 12/15/2019

Numerical approximation for fractional diffusion equation forced by a tempered fractional Gaussian noise

This paper discusses the fractional diffusion equation forced by a tempe...

0 Xing Liu, et al. ∙

∙ 07/10/2019

Joint Learning of Multiple Image Restoration Tasks

Convolutional neural networks have recently been successfully applied to...

4 Xing Liu, et al. ∙

∙ 05/30/2019

Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences

Owing to the advancement of deep learning, artificial systems are now ri...

0 Xing Liu, et al. ∙

∙ 03/21/2019

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

In this paper, we study design of deep neural networks for tasks of imag...

2 Xing Liu, et al. ∙

∙ 12/03/2018

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

Many studies have been conducted so far on image restoration, the proble...

0 Masanori Suganuma, et al. ∙

∙ 08/01/2018

Data Augmentation for Robust Keyword Spotting under Playback Interference

Accurate on-device keyword spotting (KWS) with low false accept and fals...

0 Anirudh Raju, et al. ∙

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