King Abdullah University of Science and Technology

research

∙ 02/07/2022

FL_PyTorch: optimization research simulator for federated learning

Federated Learning (FL) has emerged as a promising technique for edge de...

Konstantin Burlachenko, et al. ∙

research

∙ 08/06/2020

StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows

High-quality, diverse, and photorealistic images can now be generated by...

Rameen Abdal, et al. ∙

research

∙ 04/26/2020

Disentangled Image Generation Through Structured Noise Injection

We explore different design choices for injecting noise into generative ...

Yazeed Alharbi, et al. ∙

research

∙ 09/10/2019

First Analysis of Local GD on Heterogeneous Data

We provide the first convergence analysis of local gradient descent for ...

Ahmed Khaled, et al. ∙

research

∙ 09/11/2021

MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

Among the biggest challenges we face in utilizing neural networks traine...

Tariq Alkhalifah, et al. ∙

research

∙ 11/23/2018

Do GAN Loss Functions Really Matter?

In this paper, we address the recent controversy between Lipschitz regul...

Yipeng Qin, et al. ∙

research

∙ 12/31/2018

High Quality Monocular Depth Estimation via Transfer Learning

Accurate depth estimation from images is a fundamental task in many appl...

Ibraheem Alhashim, et al. ∙

research

∙ 09/15/2021

The potential of self-supervised networks for random noise suppression in seismic data

Noise suppression is an essential step in any seismic processing workflo...

Claire Birnie, et al. ∙

research

∙ 11/14/2018

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

Networks are fundamental building blocks for representing data, and comp...

Rise Ooi, et al. ∙

research

∙ 09/10/2019

Gradient Descent with Compressed Iterates

We propose and analyze a new type of stochastic first order method: grad...

Ahmed Khaled, et al. ∙

research

∙ 11/28/2019

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

The visual and audio modalities are highly correlated yet they contain d...

Humam Alwassel, et al. ∙

research

∙ 11/26/2019

Image2StyleGAN++: How to Edit the Embedded Images?

We propose Image2StyleGAN++, a flexible image editing framework with man...

Rameen Abdal, et al. ∙

research

∙ 02/03/2020

Evolving Neural Networks through a Reverse Encoding Tree

NeuroEvolution is one of the most competitive evolutionary learning fram...

Haoling Zhang, et al. ∙

research

∙ 07/27/2021

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification

Brain functional connectivity (FC) reveals biomarkers for identification...

Fuad Noman, et al. ∙

research

∙ 12/24/2018

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

In multimodal unsupervised image-to-image translation tasks, the goal is...

Yazeed Alharbi, et al. ∙

research

∙ 04/29/2019

TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures

We tackle the problem of texture synthesis in the setting where many inp...

Anna Frühstück, et al. ∙

research

∙ 12/03/2019

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

Action spotting is an important element of general activity understandin...

Anthony Cioppa, et al. ∙

research

∙ 06/21/2020

Network Moments: Extensions and Sparse-Smooth Attacks

The impressive performance of deep neural networks (DNNs) has immensely ...

Modar Alfadly, et al. ∙

research

∙ 11/28/2020

AdaBins: Depth Estimation using Adaptive Bins

We address the problem of estimating a high quality dense depth map from...

Shariq F. Bhat, et al. ∙

research

∙ 09/08/2021

AppQ: Warm-starting App Recommendation Based on View Graphs

Current app ranking and recommendation systems are mainly based on user-...

Dan Su, et al. ∙

research

∙ 01/31/2022

BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression

Communication efficiency has been widely recognized as the bottleneck fo...

Haoyu Zhao, et al. ∙

research

∙ 04/05/2022

Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders

Hyperspectral imaging has attracted significant attention to identify sp...

Maksim Makarenko, et al. ∙

research

∙ 06/02/2021

Barbershop: GAN-based Image Compositing using Segmentation Masks

Seamlessly blending features from multiple images is extremely challengi...

Peihao Zhu, et al. ∙

research

∙ 08/17/2021

Direct domain adaptation through reciprocal linear transformations

We propose a direct domain adaptation (DDA) approach to enrich the train...

Tariq Alkhalifah, et al. ∙

research

∙ 11/26/2019

Multi-View Multiple Clusterings using Deep Matrix Factorization

Multi-view clustering aims at integrating complementary information from...

Shaowei Wei, et al. ∙

research

∙ 04/07/2020

Efficient long-distance relation extraction with DG-SpanBERT

In natural language processing, relation extraction seeks to rationally ...

Jun Chen, et al. ∙

research

∙ 09/12/2021

Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain

Deep Neural Networks (DNNs) have been utilized in various applications r...

Hasan Abed Al Kader Hammoud, et al. ∙

research

∙ 04/14/2021

Aligning Latent and Image Spaces to Connect the Unconnectable

In this work, we develop a method to generate infinite high-resolution i...

Ivan Skorokhodov, et al. ∙

research

∙ 08/09/2021

Learning to Cut by Watching Movies

Video content creation keeps growing at an incredible pace; yet, creatin...

Alejandro Pardo, et al. ∙

research

∙ 05/11/2022

Scene Consistency Representation Learning for Video Scene Segmentation

A long-term video, such as a movie or TV show, is composed of various sc...

Haoqian Wu, et al. ∙

research

∙ 06/11/2020

Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings

The use of quadratic discriminant analysis (QDA) or its regularized vers...

Amine Bejaoui, et al. ∙

research

∙ 03/28/2021

Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization

Temporal action localization (TAL) is a fundamental yet challenging task...

Mengmeng Xu, et al. ∙

research

∙ 02/10/2022

OWL (Observe, Watch, Listen): Localizing Actions in Egocentric Video via Audiovisual Temporal Context

Temporal action localization (TAL) is an important task extensively expl...

Merey Ramazanova, et al. ∙

research

∙ 05/14/2019

ActiveHNE: Active Heterogeneous Network Embedding

Heterogeneous network embedding (HNE) is a challenging task due to the d...

Xia Chen, et al. ∙

research

∙ 06/19/2020

A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning

Modern large-scale machine learning applications require stochastic opti...

Samuel Horvath, et al. ∙

research

∙ 05/21/2018

A Nonconvex Projection Method for Robust PCA

Robust principal component analysis (RPCA) is a well-studied problem wit...

Aritra Dutta, et al. ∙

research

∙ 01/24/2019

SAGA with Arbitrary Sampling

We study the problem of minimizing the average of a very large number of...

Xu Qian, et al. ∙

research

∙ 01/27/2019

SGD: General Analysis and Improved Rates

We propose a general yet simple theorem describing the convergence of SG...

Robert Mansel Gower, et al. ∙

research

∙ 05/13/2019

Multi-View Multiple Clustering

Multiple clustering aims at exploring alternative clusterings to organiz...

Shixing Yao, et al. ∙

research

∙ 04/10/2020

Phase Consistent Ecological Domain Adaptation

We introduce two criteria to regularize the optimization involved in lea...

Yanchao Yang, et al. ∙

research

∙ 11/26/2020

Generative Layout Modeling using Constraint Graphs

We propose a new generative model for layout generation. We generate lay...

Wamiq Para, et al. ∙

research

∙ 07/20/2021

CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression

Due to the high communication cost in distributed and federated learning...

Zhize Li, et al. ∙

research

∙ 01/31/2022

On the Robustness of Quality Measures for GANs

This work evaluates the robustness of quality measures of generative mod...

Motasem Alfarra, et al. ∙

research

∙ 03/27/2022

End-to-End Active Speaker Detection

Recent advances in the Active Speaker Detection (ASD) problem build upon...

Juan Leon Alcazar, et al. ∙

research

∙ 05/29/2019

Weakly-paired Cross-Modal Hashing

Hashing has been widely adopted for large-scale data retrieval in many d...

Xuanwu Liu, et al. ∙

research

∙ 02/06/2020

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

Although well-known large-scale datasets, such as ImageNet, have driven ...

Jean Lahoud, et al. ∙

research

∙ 10/02/2020

Deep Incomplete Multi-View Multiple Clusterings

Multi-view clustering aims at exploiting information from multiple heter...

Shaowei Wei, et al. ∙

research

∙ 08/29/2021

Flow-Guided Video Inpainting with Scene Templates

We consider the problem of filling in missing spatio-temporal regions of...

Dong Lao, et al. ∙

research

∙ 10/12/2021

Relation-aware Video Reading Comprehension for Temporal Language Grounding

Temporal language grounding in videos aims to localize the temporal span...

Jialin Gao, et al. ∙

research

∙ 12/05/2021

Snapshot HDR Video Construction Using Coded Mask

This paper study the reconstruction of High Dynamic Range (HDR) video fr...

Masheal Alghamdi, et al. ∙

King Abdullah University of Science and Technology

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