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08/28/2023
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
Change detection (CD) is a fundamental and important task for monitoring...
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08/04/2023
T-UNet: Triplet UNet for Change Detection in High-Resolution Remote Sensing Images
Remote sensing image change detection aims to identify the differences b...
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07/23/2023
Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction
Buildings are the basic carrier of social production and human life; roa...
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07/23/2023
Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision
The efficacy of building footprint segmentation from remotely sensed ima...
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07/23/2023
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space
Change detection (CD) is an important yet challenging task in the Earth ...
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07/20/2023
Exploring Effective Priors and Efficient Models for Weakly-Supervised Change Detection
Weakly-supervised change detection (WSCD) aims to detect pixel-level cha...
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05/05/2023
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices
Photoplethysmogram (PPG) signals are easily contaminated by motion artif...
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04/22/2023
An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea
Wearing face mask is an effective measure to reduce the risk of COVID-19...
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04/18/2023
GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection
High spectral resolution imagery of the Earth's surface enables users to...
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03/24/2023
EMS-Net: Efficient Multi-Temporal Self-Attention For Hyperspectral Change Detection
Hyperspectral change detection plays an essential role of monitoring the...
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03/06/2023
Learning to Backdoor Federated Learning
In a federated learning (FL) system, malicious participants can easily e...
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02/21/2023
HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
Very-high-resolution (VHR) remote sensing (RS) image change detection (C...
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11/14/2022
Grafting Pre-trained Models for Multimodal Headline Generation
Multimodal headline utilizes both video frames and transcripts to genera...
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10/03/2022
Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
Unsupervised multimodal change detection is a practical and challenging ...
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09/14/2022
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
Neural ranking models (NRMs) have achieved promising results in informat...
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08/19/2022
Applying Back Propagation Algorithm and Analytic Hierarchy Process to Environment Assessment
This paper designs a new and scientific environmental quality assessment...
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06/27/2022
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance
Improving software performance is an important yet challenging part of t...
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08/18/2021
Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images
Recently, FCNs have attracted widespread attention in the CD field. In p...
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08/11/2021
Are Neural Ranking Models Robust?
Recently, we have witnessed the bloom of neural ranking models in the in...
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08/06/2021
Distilling Transformers for Neural Cross-Domain Search
Pre-trained transformers have recently clinched top spots in the gamut o...
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07/17/2021
Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix
The advance in machine learning (ML)-driven natural language process (NL...
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04/16/2021
Generating Bug-Fixes Using Pretrained Transformers
Detecting and fixing bugs are two of the most important yet frustrating ...
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04/12/2021
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers
We approach the important challenge of code autocompletion as an open-do...
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03/02/2021
Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
As the COVID-19 epidemic began to worsen in the first months of 2020, st...
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02/25/2021
Learning to Truncate Ranked Lists for Information Retrieval
Ranked list truncation is of critical importance in a variety of profess...
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10/28/2020
Mitigating Backdoor Attacks in Federated Learning
Malicious clients can attack federated learning systems by using malicio...
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10/27/2020
Hyperspectral Anomaly Change Detection Based on Auto-encoder
With the hyperspectral imaging technology, hyperspectral data provides a...
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06/26/2020
A Measurement of Transportation Ban inside Wuhan on the COVID-19 Epidemic by Vehicle Detection in Remote Sensing Imagery
Wuhan, the biggest city in China's central region with a population of m...
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06/16/2020
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection
Change detection (CD) is one of the most vital applications in remote se...
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06/03/2020
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
Classifying multi-temporal scene land-use categories and detecting their...
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04/20/2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
Variational autoencoders (VAEs) combine latent variables with amortized ...
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04/14/2020
PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation
Self-supervised pre-training has emerged as a powerful technique for nat...
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04/13/2020
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images
Recently, deep learning has achieved promising performance in the change...
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12/18/2019
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
With the development of Earth observation technology, very-high-resoluti...
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09/08/2019
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
The ability of semantic reasoning over the sentence pair is essential fo...
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09/06/2019
Incorporating External Knowledge into Machine Reading for Generative Question Answering
Commonsense and background knowledge is required for a QA model to answe...
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08/13/2019
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Recently, the pre-trained language model, BERT (Devlin et al.(2018)Devli...
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08/13/2019
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning
This paper focuses on how to take advantage of external relational knowl...
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06/27/2019
Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images
Very high resolution (VHR) images provide abundant ground details and sp...
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06/05/2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
Unsupervised text style transfer aims to alter text styles while preserv...
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04/01/2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
Scene understanding of high resolution aerial images is of great importa...
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03/16/2019
A Deep Look into Neural Ranking Models for Information Retrieval
Ranking models lie at the heart of research on information retrieval (IR...
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02/07/2019
Optimizing seed inputs in fuzzing with machine learning
The success of a fuzzing campaign is heavily depending on the quality of...
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12/03/2018
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Change detection has been a hotspot in remote sensing technology for a l...
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11/29/2018
Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering
This paper describes a novel hierarchical attention network for reading ...
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11/28/2018
A Deep Cascade Model for Multi-Document Reading Comprehension
A fundamental trade-off between effectiveness and efficiency needs to be...
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05/19/2018
Partitioning SKA Dataflows for Optimal Graph Execution
Optimizing data-intensive workflow execution is essential to many modern...
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04/25/2018
Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker
Object tracking is a hot topic in computer vision. Thanks to the booming...
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03/06/2018
Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach
Labeling each instance in a large dataset is extremely labor- and time- ...
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08/15/2017
