Vinh Duong's repositories
HEVC-SS-LLE
Light Field Image Codec based on a Lenslet representation. Basis software: HM v15 Reference Software. Prediction tools: Self Similarity and Locally Linear Embedding
awesome-deep-learning-papers
The most cited deep learning papers
Awesome-Denoise
All latest image/burst/video Denoising papers with code & citation published in top conference and journal.
awesome-grad-school
🎓 Advice and resources for thriving and surviving graduate school
Awesome-LF-Image-SR
A Collection of Papers and Datasets for Light Field Image Super-Resolution
Awesome-Super-Resolution
A curated list of awesome super-resolution resources.
Awesome-Super-Resolution-1
Collect super-resolution related papers, data, repositories
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
CompressionData
The training data of learned image compression. The data is from flicker.com.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
duongvinh.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
HEVC-Complexity-Reduction
Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.
HEVC-CU-depths-dataset
A dataset that contains the Coding Unit image files and their corresponding depths for HEVC intra-prediction.
HEVC-CU-depths-prediction-CNN
Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.
HEVC-deep-learning-pipeline
Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.
Machine-Learning-notes
Notes of Andrew Ng's Machine Learning course from coursera.org
NIC
End-to-End Learnt Image Compression Codec
signal-processing
Repository that gathers code for signal processing
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
superpixel_fcn
[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
what-is
Important concepts in numerical analysis and related areas