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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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08/01/2023
VideoPro: A Visual Analytics Approach for Interactive Video Programming
Constructing supervised machine learning models for real-world video ana...
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07/06/2023
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks
Recently, U-shaped networks have dominated the field of medical image se...
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06/21/2023
𝔼^𝐅𝐖𝐈: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
Elastic geophysical properties (such as P- and S-wave velocities) are of...
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05/26/2023
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Full waveform inversion (FWI) infers the subsurface structure informatio...
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03/14/2023
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Ethereum has become a popular blockchain with smart contracts for invest...
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03/08/2023
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
Geologic Carbon Storage (GCS) is an important technology that aims to re...
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02/15/2023
DiffSeer: Difference-based Dynamic Weighted Graph Visualization
Existing dynamic weighted graph visualization approaches rely on users' ...
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02/12/2023
NFTDisk: Visual Detection of Wash Trading in NFT Markets
With the growing popularity of Non-Fungible Tokens (NFT), a new type of ...
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12/13/2022
Reliable extrapolation of deep neural operators informed by physics or sparse observations
Deep neural operators can learn nonlinear mappings between infinite-dime...
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07/21/2022
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Physics-informed neural networks (PINNs) have shown to be an effective t...
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10/27/2021
PL-Net: Progressive Learning Network for Medical Image Segmentation
In recent years, segmentation methods based on deep convolutional neural...
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10/10/2021
Deep Learning Based Person Re-Identification Methods: A Survey and Outlook of Recent Works
In recent years, with the increasing demand for public safety and the ra...
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09/13/2021
Global-Local Dynamic Feature Alignment Network for Person Re-Identification
The misalignment of human images caused by pedestrian detection bounding...
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04/28/2020
Error Propagation Mitigation in Sliding Window Decoding of Braided Convolutional Codes
We investigate error propagation in sliding window decoding of braided c...
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04/18/2020
Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes
In this paper, we introduce two new methods of mitigating decoder error ...
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03/19/2019
Umbrella: Enabling ISPs to Offer Readily Deployable and Privacy-Preserving DDoS Prevention Services
Defending against distributed denial of service (DDoS) attacks in the In...
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01/10/2018
Combating Error Propagation in Window Decoding of Braided Convolutional Codes
In this paper, we study sliding window decoding of braided convolutional...
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07/26/2017