Name: Dũng Minh Nguyễn
Type: User
Company: UNIVERSITY OF INFORMATION TECHNOLOGY - VIET NAM NATIONAL UNIVERSITY, HO CHI MINH CITY
Bio: A student is passionate about Artificial Intelligent, especially Computer Vision and Machine Learning.
Location: Vietnam
Dũng Minh Nguyễn's Projects
100 Days of ML Coding
Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader
This a project in Artificial Intelligent subject using Mini-max with Alpha-Beta Pruning
ai cover generator
All Algorithms implemented in Python
License Plate Detection and Recognition in Unconstrained Scenarios
A collection of the most important Github repos for ML, AI & Data science practitioners
This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".
Bringing Old Photo Back to Life (CVPR 2020 oral)
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Official implementation of Character Region Awareness for Text Detection (CRAFT)
CRAFT-Pyotorch:Character Region Awareness for Text Detection Reimplementation for Pytorch
ICCV 2021 PAPER
CVPR 2022 论文和开源项目合集
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Torchreid: Deep learning person re-identification in PyTorch.
A mindmap summarising Deep Learning concepts.
DeepSeek LLM: Let there be answers
NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models
This is a project in Machine Learning in Computer Vision using K-nearest Neighbor
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.