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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...
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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...
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04/19/2023
MTrainS: Improving DLRM training efficiency using heterogeneous memories
Recommendation models are very large, requiring terabytes (TB) of memory...
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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...
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10/08/2022
Learning the Network of Graphs for Graph Neural Networks
Graph neural networks (GNNs) have achieved great success in many scenari...
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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...
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02/07/2022
Grassmann Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) is a deterministic particle in...
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09/14/2021
Cross-Region Domain Adaptation for Class-level Alignment
Semantic segmentation requires a lot of training data, which necessitate...
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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...
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08/16/2021
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
The threat of 3D masks to face recognition systems is increasingly serio...
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06/07/2021
Difference methods for time discretization of stochastic wave equation
The time discretization of stochastic spectral fractional wave equation ...
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05/01/2021
High-accuracy time discretization of stochastic fractional diffusion equation
A high-accuracy time discretization is discussed to numerically solve th...
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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...
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01/25/2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
The memory capacity of embedding tables in deep learning recommendation ...
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01/09/2021
Pushing the Envelope of Thin Crack Detection
In this study, we consider the problem of detecting cracks from the imag...
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07/06/2020
Higher order approximation for stochastic wave equation
The infinitesimal generator (fractional Laplacian) of a process obtained...
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06/09/2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models
Bayesian quadrature (BQ) is a method for solving numerical integration p...
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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 ...
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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...
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12/23/2019
A Compared Study Between Some Subspace Based Algorithms
The technology of face recognition has made some progress in recent year...
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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...
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07/10/2019
Joint Learning of Multiple Image Restoration Tasks
Convolutional neural networks have recently been successfully applied to...
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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...
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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...
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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...
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08/01/2018
