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07/31/2023
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection
Three-dimensional (3D) reconstruction of head Computed Tomography (CT) i...
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07/30/2023
Shuffled Differentially Private Federated Learning for Time Series Data Analytics
Trustworthy federated learning aims to achieve optimal performance while...
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12/06/2022
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations
Previous work on action representation learning focused on global repres...
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06/15/2022
S^2-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
Modern high-performance semantic segmentation methods employ a heavy bac...
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04/04/2022
SPFNet:Subspace Pyramid Fusion Network for Semantic Segmentation
The encoder-decoder structure has significantly improved performance in ...
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03/18/2022
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
Current LiDAR-only 3D detection methods inevitably suffer from the spars...
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11/30/2019
Learning Rate Dropout
The performance of a deep neural network is highly dependent on its trai...
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01/31/2018
Compressed Anomaly Detection with Multiple Mixed Observations
We consider a collection of independent random variables that are identi...
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11/07/2017
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors
While single measurement vector (SMV) models have been widely studied in...
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11/05/2017