Tootfinder

This https://arxiv.org/abs/2405.12704 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

LPD-Aware Uplink CSI-based 5G NR Downlink Synchronization for Tactical Networks
5G NR is touted to be an attractive candidate for tactical networks owing to its versatility, scalability, and low cost. However, tactical networks need to be stealthy, where an adversary is not able to detect or intercept the tactical communication. In this paper, we investigate the stealthiness of 5G NR by looking at the probability with which an adversary that monitors the downlink synchronization signals can detect the presence of the network. We simulate a single-cell single-eavesdropper s…

This https://arxiv.org/abs/2207.10324 has been replaced.
link: https://scholar.google.com/scholar?q=a

Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation
Image translation based on a generative adversarial network (GAN-IT) is a promising method for the precise localization of abnormal regions in chest X-ray images (AL-CXR) even without the pixel-level annotation. However, heterogeneous unpaired datasets undermine existing methods to extract key features and distinguish normal from abnormal cases, resulting in inaccurate and unstable AL-CXR. To address this problem, we propose an improved two-stage GAN-IT involving registration and data augmentat…

RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
Fei Li, Wenbo Hou, Peng Jia
https://arxiv.org/abs/2406.11469 https://…

RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
Deep learning-based ISP algorithms have demonstrated significant potential in raw2rgb reconstruction. However, existing networks have not fully considered the specific characteristics of raw data, such as black level and CFA, which can negatively impact texture and color if mishandled. Moreover, uneven exposure in raw data is also not considered carefully, leading to adverse effects on contrast and brightness. In this paper, we introduce RMFA-Net to tackle these problems. We perform implicit bl…