King Abdullah University of Science and Technology

∙ Thuwal , Saudi Arabia ∙ 0 followers

King Abdullah University of Science and Technology is a private research university located in Thuwal, Saudi Arabia.

First Analysis of Local GD on Heterogeneous Data

We provide the first convergence analysis of local gradient descent for ...
09/10/2019 ∙ by Ahmed Khaled, et al. ∙ 31 ∙ share

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Do GAN Loss Functions Really Matter?

In this paper, we address the recent controversy between Lipschitz regul...
11/23/2018 ∙ by Yipeng Qin, et al. ∙ 30 ∙ share

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High Quality Monocular Depth Estimation via Transfer Learning

Accurate depth estimation from images is a fundamental task in many appl...
12/31/2018 ∙ by Ibraheem Alhashim, et al. ∙ 30 ∙ share

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Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning

Networks are fundamental building blocks for representing data, and comp...
11/14/2018 ∙ by Rise Ooi, et al. ∙ 28 ∙ share

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Gradient Descent with Compressed Iterates

We propose and analyze a new type of stochastic first order method: grad...
09/10/2019 ∙ by Ahmed Khaled, et al. ∙ 27 ∙ share

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Self-Supervised Learning by Cross-Modal Audio-Video Clustering

The visual and audio modalities are highly correlated yet they contain d...
11/28/2019 ∙ by Humam Alwassel, et al. ∙ 25 ∙ share

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Image2StyleGAN++: How to Edit the Embedded Images?

We propose Image2StyleGAN++, a flexible image editing framework with man...
11/26/2019 ∙ by Rameen Abdal, et al. ∙ 22 ∙ share

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Evolving Neural Networks through a Reverse Encoding Tree

NeuroEvolution is one of the most competitive evolutionary learning fram...
02/03/2020 ∙ by Haoling Zhang, et al. ∙ 19 ∙ share

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Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation

In multimodal unsupervised image-to-image translation tasks, the goal is...
12/24/2018 ∙ by Yazeed Alharbi, et al. ∙ 18 ∙ share

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TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures

We tackle the problem of texture synthesis in the setting where many inp...
04/29/2019 ∙ by Anna Frühstück, et al. ∙ 16 ∙ share

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A Context-Aware Loss Function for Action Spotting in Soccer Videos

Action spotting is an important element of general activity understandin...
12/03/2019 ∙ by Anthony Cioppa, et al. ∙ 16 ∙ share

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Multi-View Multiple Clusterings using Deep Matrix Factorization

Multi-view clustering aims at integrating complementary information from...
11/26/2019 ∙ by Shaowei Wei, et al. ∙ 10 ∙ share

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ActiveHNE: Active Heterogeneous Network Embedding

Heterogeneous network embedding (HNE) is a challenging task due to the d...
05/14/2019 ∙ by Xia Chen, et al. ∙ 6 ∙ share

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A Nonconvex Projection Method for Robust PCA

Robust principal component analysis (RPCA) is a well-studied problem wit...
05/21/2018 ∙ by Aritra Dutta, et al. ∙ 4 ∙ share

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SAGA with Arbitrary Sampling

We study the problem of minimizing the average of a very large number of...
01/24/2019 ∙ by Xu Qian, et al. ∙ 4 ∙ share

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SGD: General Analysis and Improved Rates

We propose a general yet simple theorem describing the convergence of SG...
01/27/2019 ∙ by Robert Mansel Gower, et al. ∙ 4 ∙ share

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Multi-View Multiple Clustering

Multiple clustering aims at exploring alternative clusterings to organiz...
05/13/2019 ∙ by Shixing Yao, et al. ∙ 4 ∙ share

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Weakly-paired Cross-Modal Hashing

Hashing has been widely adopted for large-scale data retrieval in many d...
05/29/2019 ∙ by Xuanwu Liu, et al. ∙ 4 ∙ share

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RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training

Although well-known large-scale datasets, such as ImageNet, have driven ...
02/06/2020 ∙ by Jean Lahoud, et al. ∙ 4 ∙ share

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Can GCNs Go as Deep as CNNs?

Convolutional Neural Networks (CNNs) achieve impressive results in a wid...
04/07/2019 ∙ by Guohao Li, et al. ∙ 1 ∙ share

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Attention-Aware Answers of the Crowd

Crowdsourcing is a relatively economic and efficient solution to collect...
12/24/2019 ∙ by Jingzheng Tu, et al. ∙ 1 ∙ share

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Online and Batch Supervised Background Estimation via L1 Regression

We propose a surprisingly simple model for supervised video background e...
11/23/2017 ∙ by Aritra Dutta, et al. ∙ 0 ∙ share

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Graph Embedding with Rich Information through Bipartite Heterogeneous Network

Graph embedding has attracted increasing attention due to its critical a...
10/18/2017 ∙ by Guolei Sun, et al. ∙ 0 ∙ share

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A Novel Framework for Robustness Analysis of Visual QA Models

Deep neural networks have been playing an essential role in many compute...
11/16/2017 ∙ by Jia-Hong Huang, et al. ∙ 0 ∙ share

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Improving Shadow Suppression for Illumination Robust Face Recognition

2D face analysis techniques, such as face landmarking, face recognition ...
10/13/2017 ∙ by Wuming Zhang, et al. ∙ 0 ∙ share

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Fast Convolutional Sparse Coding in the Dual Domain

Convolutional sparse coding (CSC) is an important building block of many...
09/27/2017 ∙ by Lama Affara, et al. ∙ 0 ∙ share

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Robustness Analysis of Visual QA Models by Basic Questions

Visual Question Answering (VQA) models should have both high robustness ...
09/14/2017 ∙ by Jia-Hong Huang, et al. ∙ 0 ∙ share

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A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices

Principal component pursuit (PCP) is a state-of-the-art approach for bac...
07/02/2017 ∙ by Aritra Dutta, et al. ∙ 0 ∙ share

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An Outlyingness Matrix for Multivariate Functional Data Classification

The classification of multivariate functional data is an important task ...
04/09/2017 ∙ by Wenlin Dai, et al. ∙ 0 ∙ share

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ISTA-Net: Iterative Shrinkage-Thresholding Algorithm Inspired Deep Network for Image Compressive Sensing

Traditional methods for image compressive sensing (CS) reconstruction so...
06/24/2017 ∙ by Jian Zhang, et al. ∙ 0 ∙ share

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Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering

Cold start problem in Collaborative Filtering can be solved by asking ne...
10/16/2016 ∙ by Alexander Fonarev, et al. ∙ 0 ∙ share

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Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

We propose a stochastic extension of the primal-dual hybrid gradient alg...
06/15/2017 ∙ by Antonin Chambolle, et al. ∙ 0 ∙ share

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Action Search: Learning to Search for Human Activities in Untrimmed Videos

Traditional approaches for action detection use trimmed data to learn so...
06/13/2017 ∙ by Humam Alwassel, et al. ∙ 0 ∙ share

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VQABQ: Visual Question Answering by Basic Questions

Taking an image and question as the input of our method, it can output t...
03/19/2017 ∙ by Jia-Hong Huang, et al. ∙ 0 ∙ share

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A Mathematical Theory of Learning

In this paper, a mathematical theory of learning is proposed that has ma...
05/07/2014 ∙ by Ibrahim Alabdulmohsin, et al. ∙ 0 ∙ share

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Image Denoising Via Collaborative Support-Agnostic Recovery

In this paper, we propose a novel image denoising algorithm using collab...
09/09/2016 ∙ by Muzammil Behzad, et al. ∙ 0 ∙ share

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Quickest Moving Object Detection

We present a general framework and method for simultaneous detection and...
05/24/2016 ∙ by Dong Lao, et al. ∙ 0 ∙ share

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ℓ_p-Box ADMM: A Versatile Framework for Integer Programming

This paper revisits the integer programming (IP) problem, which plays a ...
04/26/2016 ∙ by Baoyuan Wu, et al. ∙ 0 ∙ share

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A model-based approach to recovering the structure of a plant from images

We present a method for recovering the structure of a plant directly fro...
03/11/2015 ∙ by Ben Ward, et al. ∙ 0 ∙ share

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Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification

Efficient and accurate joint representation of a collection of images, t...
03/09/2015 ∙ by Muhammad Uzair, et al. ∙ 0 ∙ share

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Matching Through Features and Features Through Matching

This paper addresses how to construct features for the problem of image ...
11/20/2012 ∙ by Ganesh Sundaramoorthi, et al. ∙ 0 ∙ share

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Shape Tracking With Occlusions via Coarse-To-Fine Region-Based Sobolev Descent

We present a method to track the precise shape of an object in video bas...
08/21/2012 ∙ by Yanchao Yang, et al. ∙ 0 ∙ share

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Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: Application to heat transfer in building walls

In this work, we present the ensemble-marginalized Kalman filter (EnMKF)...
11/26/2017 ∙ by Marco Iglesias, et al. ∙ 0 ∙ share

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Algorithmic Verification of Linearizability for Ordinary Differential Equations

For a nonlinear ordinary differential equation solved with respect to th...
02/13/2017 ∙ by Dmitry Lyakhov, et al. ∙ 0 ∙ share

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A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes

Quantifying the uncertainty of wind energy potential from climate models...
11/10/2017 ∙ by Jaehong Jeong, et al. ∙ 0 ∙ share

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Security Strategies of Both Players in Asymmetric Information Zero-Sum Stochastic Games with an Informed Controller

This paper considers a zero-sum two-player asymmetric information stocha...
11/07/2017 ∙ by Lichun Li, et al. ∙ 0 ∙ share

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HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter Identification

The main goal of this article is to introduce the parallel hierarchical ...
09/24/2017 ∙ by Alexander Litvinenko, et al. ∙ 0 ∙ share

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Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets

We use available measurements to estimate the unknown parameters (varian...
09/08/2017 ∙ by Alexander Litvinenko, et al. ∙ 0 ∙ share

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A Multi-Resolution Spatial Model for Large Datasets Based on the Skew-t Distribution

Large, non-Gaussian spatial datasets pose a considerable modeling challe...
12/06/2017 ∙ by Felipe Tagle, et al. ∙ 0 ∙ share

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Non-Gaussian Autoregressive Processes with Tukey g-and-h Transformations

When performing a time series analysis of continuous data, for example f...
11/20/2017 ∙ by Yuan Yan, et al. ∙ 0 ∙ share

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