Popular GitHub Repositories for Visible Infrared

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

Lego AI Parser is an open-source application that uses OpenAI to parse visible text of HTML elements.

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

一个基于可视水印检测识别的数字媒体溯源应用系统，是我的大作业项目，包含这个系统以及一个开源的大规模常见水印图像数据集（Large-scale Common Watermark Dataset, LCWD）。 输入一个带有可视水印的图片或视频，系统会检测定位到水印所在的区域，然后将其提取出来，然后借助百度AI开放平台的OCR和logo识别以及Bing搜索引擎，溯源到这个图片或视频的源头。

Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification

[IEEE TCSVT 2023] Official implementation of DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

[IEEE TMM 2022] Official implementation of YDTR: Infrared and Visible Image Fusion via Y-shape Dynamic Transformer

Official implementation of the paper "Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion"

Using Just In Time (JIT) instruction decryption, this shellcode loader ensures that only the currently executing instruction is visible in memory.

Code for the paper 'Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search'. Accepted in ECCV2020 (Spotlight). Preprint: https://arxiv.org/abs/2006.08696

Training for multi-modal image fusion with PyTorch.

Search-based low-intelligence international chess AI with visible UI

[IEEE FG'23] T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models

Implementation of the FIRe-GAN model, a GAN-based method for the fusion of visible-infrared images.

Implementing DCGAN for generating anime faces. The goal is to train a very simple model architectures, which produces highly realistic results. My generator is extremely simple, yet is actually able to produce surprisingly good results when trained enough. With image interpolation, this is clearly visible that the generator is not cheating/memorising the faces from the dataset.

Low contrast infrared image enhancement with DCGAN

? Phantom-AI-Interview – A fun experiment exploring how AI can silently assist in virtual interviews, coding challenges, and exams. Uses OCR, LLMs, and automation to extract text, generate responses, and operate without a visible UI. ?