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06/28/2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Leveraging vast training data (SA-1B), the foundation Segment Anything M...
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03/15/2023
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
Efficient multi-robot task allocation (MRTA) is fundamental to various t...
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02/16/2023
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
Despite its fruitful applications in remote sensing, image super-resolut...
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05/27/2022
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Training deep learning-based change detection (CD) model heavily depends...
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04/01/2022
Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations
In this paper, we consider a class of convection-diffusion equations wit...
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10/25/2021
Partially Explicit Time Discretization for Nonlinear Time Fractional Diffusion Equations
Nonlinear time fractional partial differential equations are widely used...
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08/28/2021
Contrast-independent partially explicit time discretizations for nonlinear multiscale problems
This work continues a line of works on developing partially explicit met...
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07/12/2021
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
The proliferation of remote sensing satellites has resulted in a massive...
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11/24/2020
Generation of In-group Asset Condition Data for Power System Reliability Assessment
In a power system, unlike some critical and standalone assets that are e...
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11/05/2020
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Histopathological images provide rich information for disease diagnosis....
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05/09/2020
A Social Search Model for Large Scale Social Networks
With the rise of social networks, information on the internet is no long...
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10/18/2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
In this work, we investigate semi-supervised learning (SSL) for image cl...
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05/30/2019
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Histology review is often used as the `gold standard' for disease diagno...
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05/16/2019
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
Recently, semi-supervised learning methods based on generative adversari...
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12/03/2018
Semi-supervised Rare Disease Detection Using Generative Adversarial Network
Rare diseases affect a relatively small number of people, which limits i...
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03/13/2018