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Nice to meet you!

My name is Quang-Huy Nguyen (my first name is Huy). I am deeply interested in Machine Learning/Artificial Intelligence and Computer Vision-driven research, with a special interest in Few-shot Learning/Meta Learning, Domain Adaptation (continual learning, out-of-distribution detection, etc.), and Black-box Optimization (Bayesian Optimization). In particular, I am aiming to develop deep learning models that can be generalized effectively with minimal training data and human supervision for vision tasks, toward a lifelong and open-world machine learning system

I am aiming to pursue Ph.D. program in Computer Science starting in Fall 2024 on ML/DL or Computer Vision.

You can look on my personal webpage for my academic experience, previous projects, latest publications, and research blogs.

Have a great day to you.

quanghuy0497's GitHub stats

Quang-Huy Nguyễn's Projects

awesome-out-of-distribution-detection icon awesome-out-of-distribution-detection

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

face-skin-detection icon face-skin-detection

A simple facial landmark detection using HoG-CNN (via dlib) and Skin detection with HSV-YCbCr colorspace.

few-shot-learning_summarization icon few-shot-learning_summarization

A summarization of Few-shot Learning approaches for Computer Vision tasks, including image classification, object detection, and object segmentation. Keep updated frequently.

mask_r-cnn icon mask_r-cnn

A modified version of Mask R-CNN based on Matterport's version. Featuring: polygon annotating mask generation and k-fold cross-validation training.

obsnet_ood_segmentation icon obsnet_ood_segmentation

Implementation code of the paper "Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation"

phd-cs-us icon phd-cs-us

This document helps demystify the PhD admission process in Computer Science in US universities. It is written mainly for Vietnamese and International Students.

segmenter icon segmenter

Implementation code of "Segmenter: Transformer for Semantic Segmentation"

tformer-inpainting icon tformer-inpainting

Implementation code of T-former: An Efficient Transformer for Image Inpainting (ACM MultiMedia 2022)

the_phd_guidance icon the_phd_guidance

Reasons, motivations, and resources that help pursuing the doctoral degree in Computer Science

transformers4vision icon transformers4vision

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.

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