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09/21/2023
Towards the Comprehensive Understanding of Mempool DoS Security in Ethereum (Work in Progress)
While awareness has been recently raised on Ethereum mempool security, t...
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08/16/2023
High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark
The extraction of lakes from remote sensing images is a complex challeng...
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08/16/2023
SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation
The integration of different modalities, such as audio and visual inform...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Cinematic Demixing Track
This paper summarizes the cinematic demixing (CDX) track of the Sound De...
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08/08/2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Optical satellite images are a critical data source; however, cloud cove...
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08/08/2023
LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
Lake extraction from remote sensing imagery is challenging due to the co...
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08/06/2023
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Camouflaged object detection (COD) is the challenging task of identifyin...
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08/03/2023
Consistency Regularization for Generalizable Source-free Domain Adaptation
Source-free domain adaptation (SFDA) aims to adapt a well-trained source...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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07/19/2023
How are exclusively data journals indexed in major scholarly databases? An examination of the Web of Science, Scopus, Dimensions, and OpenAlex
As part of the data-driven paradigm and open science movement, the data ...
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07/17/2023
How do software citation formats evolve over time? A longitudinal analysis of R programming language packages
Under the data-driven research paradigm, research software has come to p...
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07/15/2023
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...
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07/13/2023
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities
In recent years, ubiquitous semantic Metaverse has been studied to revol...
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07/08/2023
PCG-based Static Underground Garage Scenario Generation
Autonomous driving technology has five levels, from L0 to L5. Currently,...
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06/18/2023
Understanding and Characterizing Cryptocurrency Free Giveaway and Arbitrage Bot Scams In the Wild
This paper presents a large-scale analysis of two prevalent cryptocurren...
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05/31/2023
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model
We propose Audio-Visual Lightweight ITerative model (AVLIT), an effectiv...
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05/24/2023
Privacy Implications of Retrieval-Based Language Models
Retrieval-based language models (LMs) have demonstrated improved interpr...
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05/24/2023
PruMUX: Augmenting Data Multiplexing with Model Compression
As language models increase in size by the day, methods for efficient in...
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05/18/2023
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment ...
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04/25/2023
Exploring Compositional Visual Generation with Latent Classifier Guidance
Diffusion probabilistic models have achieved enormous success in the fie...
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04/21/2023
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
Semi-Supervised Domain Adaptation (SSDA) is a recently emerging research...
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03/29/2023
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery
Satellite imagery analysis plays a vital role in remote sensing, but the...
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03/24/2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Conditional image-to-video (cI2V) generation aims to synthesize a new pl...
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01/27/2023
A Learned Cache Eviction Framework with Minimal Overhead
Recent work shows the effectiveness of Machine Learning (ML) to reduce c...
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01/25/2023
Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection
In the surface defect detection, there are some suspicious regions that ...
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01/11/2023
Adversarial Alignment for Source Free Object Detection
Source-free object detection (SFOD) aims to transfer a detector pre-trai...
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12/24/2022
Efficiently Hardening SGX Enclaves against Memory Access Pattern Attacks via Dynamic Program Partitioning
Intel SGX is known to be vulnerable to a class of practical attacks expl...
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12/21/2022
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits
Audio-visual approaches involving visual inputs have laid the foundation...
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12/07/2022
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameteri...
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11/07/2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
The ongoing amalgamation of UAV and ML techniques is creating a signific...
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09/30/2022
An efficient encoder-decoder architecture with top-down attention for speech separation
Deep neural networks have shown excellent prospects in speech separation...
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09/08/2022
A Review on Method Entities in the Academic Literature: Extraction, Evaluation, and Application
In scientific research, the method is an indispensable means to solve sc...
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08/29/2022
When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds
In recent years, the Internet of Things (IoT) is studied in the context ...
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07/26/2022
Reconstruction of inhomogeneous media by iterative reconstruction algorithm with learned projector
This paper is concerned with the inverse problem of scattering of time-h...
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07/17/2022
Robust Transmission Scheduling for UAV-assisted Millimeter-Wave Train-Ground Communication System
With the explosive growth of mobile data, the demand of high-speed railw...
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06/30/2022
Designs, Motion Mechanism, Motion Coordination, and Communication of Bionic Robot Fishes: A Survey
In the last few years, there have been many new developments and signifi...
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06/15/2022
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems
Most of the recent neural source separation systems rely on a masking-ba...
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06/15/2022
On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems
While the performance of offline neural speech separation systems has be...
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05/20/2022
6G Network AI Architecture for Everyone-Centric Customized Services
Mobile communication standards were developed for enhancing transmission...
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05/17/2022
Recovering Private Text in Federated Learning of Language Models
Federated learning allows distributed users to collaboratively train a m...
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04/13/2022
Fast Few-shot Debugging for NLU Test Suites
We study few-shot debugging of transformer based natural language unders...
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03/29/2022
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis
Although progress has been made for text-to-image synthesis, previous me...
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03/20/2022
Data sharing practices across knowledge domains: a dynamic examination of data availability statements in PLOS ONE publications
As the importance of research data gradually grows in sciences, data sha...
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02/15/2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT
Federated learning (FL) has been increasingly considered to preserve dat...
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01/31/2022
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism
Nearest Neighbor Search (NNS) has recently drawn a rapid increase of int...
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12/04/2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Recent advances in the design of neural network architectures, in partic...
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11/30/2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Gradient inversion attack (or input recovery from gradient) is an emergi...
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09/30/2021
TopoShot: Uncovering Ethereum's Network Topology Leveraging Replacement Transactions
Ethereum relies on a peer-to-peer overlay network to propagate informati...
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09/13/2021
CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection
Pixel-wise crack detection is a challenging task because of poor continu...
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09/08/2021