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09/04/2023
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM)...
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06/17/2023
Online Local Differential Private Quantile Inference via Self-normalization
Based on binary inquiries, we developed an algorithm to estimate populat...
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11/12/2022
Deep Unsupervised Key Frame Extraction for Efficient Video Classification
Video processing and analysis have become an urgent task since a huge am...
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10/05/2022
Conformalized Fairness via Quantile Regression
Algorithmic fairness has received increased attention in socially sensit...
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12/09/2021
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
With widening deployments of natural language processing (NLP) in daily ...
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08/13/2021
Bi-Temporal Semantic Reasoning for the Semantic Change Detection of HR Remote Sensing Images
Semantic change detection (SCD) extends the change detection (CD) task t...
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07/31/2021
Projection scrubbing: a more effective, data-driven fMRI denoising method
Functional MRI (fMRI) data are subject to artifacts from a myriad of sou...
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07/05/2021
Sufficient principal component regression for pattern discovery in transcriptomic data
Methods for global measurement of transcript abundance such as microarra...
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06/29/2021
Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
Long-range context information is crucial for the semantic segmentation ...
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02/22/2021
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Building extraction in VHR RSIs remains to be a challenging task due to ...
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11/10/2020
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images
There are limited studies on the semantic segmentation of high-resolutio...
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09/21/2020
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles
Deep neural networks (DNNs) have become the essential components for var...
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09/01/2020
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification
Deep learning based methods have seen a massive rise in popularity for h...
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08/31/2020
Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks
Recently web applications have been widely used in enterprises to assist...
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08/15/2020
Are Smart Home Devices Abandoning IPV Victims?
Smart home devices have brought us many benefits such as advanced securi...
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06/12/2020
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces
Deepfake represents a category of face-swapping attacks that leverage ma...
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05/14/2020
Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images
The binary segmentation of roads in very high resolution (VHR) remote se...
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12/19/2019
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation
Counterfactual reasoning is an important paradigm applicable in many fie...
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11/20/2019
Improving Semantic Segmentation of Aerial Images Using Patch-based Attention
The trade-off between feature representation power and spatial localizat...
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07/12/2019