Picture for Di Zhao

Di Zhao

An Individual Identity-Driven Framework for Animal Re-Identification

Add code
Oct 30, 2024
Viaarxiv icon

MCNet: A crowd denstity estimation network based on integrating multiscale attention module

Add code
Mar 29, 2024
Viaarxiv icon

Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

Add code
Aug 14, 2023
Viaarxiv icon

RISC-V Toolchain and Agile Development based Open-source Neuromorphic Processor

Add code
Oct 06, 2022
Viaarxiv icon

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer

Add code
Sep 09, 2021
Figure 1 for EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Figure 2 for EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Figure 3 for EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Figure 4 for EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Viaarxiv icon

Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack

Add code
May 09, 2019
Figure 1 for Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Figure 2 for Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Figure 3 for Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Figure 4 for Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Viaarxiv icon

End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks

Add code
Apr 16, 2019
Figure 1 for End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Figure 2 for End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Figure 3 for End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Figure 4 for End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Viaarxiv icon