Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Bjontegaard_metric
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
books
技术书籍
CPH
A large-scale database for CU partition of HEVC (CPH), at both intra- and inter-modes.
CPIH
A large-scale database for CTU partition of intra-mode HEVC (CPIH)
CppIdioms
DLR-ScOSA-Autoencoders
This research is part of ScOSA (Scalable On-Board Computing for Space Avionics), the DLR (German Aerospace Center) research project dealing with on-board computers as a distributed system, which will be part of a DLR CubeSat mission. The research evaluates the efficiency of various autoencoder neural networks for image compression regarding satelli
DMP-HEVC-ICME2021
Depth Map Prediction for Fast Block Partitioning in HEVC
warlock
haoyang6551's Repositories
haoyang6551/warlock
haoyang6551/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
haoyang6551/Bjontegaard_metric
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
haoyang6551/books
技术书籍
haoyang6551/CPH
A large-scale database for CU partition of HEVC (CPH), at both intra- and inter-modes.
haoyang6551/CPIH
A large-scale database for CTU partition of intra-mode HEVC (CPIH)
haoyang6551/CppIdioms
haoyang6551/DLR-ScOSA-Autoencoders
This research is part of ScOSA (Scalable On-Board Computing for Space Avionics), the DLR (German Aerospace Center) research project dealing with on-board computers as a distributed system, which will be part of a DLR CubeSat mission. The research evaluates the efficiency of various autoencoder neural networks for image compression regarding satelli
haoyang6551/DMP-HEVC-ICME2021
Depth Map Prediction for Fast Block Partitioning in HEVC
haoyang6551/DVC
DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)
haoyang6551/fpcnn
FINCH Predictive Coding Neural Network. A full end-to-end implementation of the CSNN state-of-the-art compression algorithm for hyperspectral image data.
haoyang6551/HEVC-Complexity-Reduction
Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.
haoyang6551/HEVC-CU-depths-dataset
A dataset that contains the Coding Unit image files and their corresponding depths for HEVC intra-prediction.
haoyang6551/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.
haoyang6551/HEVC-deep-learning-pipeline
Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.
haoyang6551/HM16.9-NN_FME
My fork of HEVC reference software (HM16.9) which applies a Neural Network based Fractional-Pixel Motion Estimation
haoyang6551/hyperspectral-dequantization
Code from paper High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction
haoyang6551/Hyperspectral-Image-Compression
haoyang6551/Hyperspectral-Image-Compression-1
Hyperspectral Image Compression and Classification
haoyang6551/ICSPCodec
Implementation of video codec based on H.261
haoyang6551/Image-compression-and-video-coding
haoyang6551/imagecomCSNN
To achieve efficient lossless compression of hyperspectral images, we design a concatenated neural network capable of extracting both spatial and spectral correlations for accurate pixel value prediction.
haoyang6551/jp2-python
JPEG2000/JP2 Image Compression Codec using Python,NumPy,PyDWT
haoyang6551/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding
The official code implementation of paper ‘Luminance-Guided Chrominance Enhancement for HEVC Intra Coding’ ISCAS 2022
haoyang6551/mblbcs2023
Repository with the models to replicate the results from the paper "Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images using Deep Learning" by Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, and Joan Serra-Sagristà.
haoyang6551/PMP-VVC-TIP2023
Partition Map Prediction for Fast Block Partitioning in VVC Intra-frame Coding
haoyang6551/RK-CCSNet
ECCV 2020: Runge-Kutta Convolutional Compressed Sensing Network for Deep Compressed Sensing
haoyang6551/screen_recorder
haoyang6551/ThinkingInSimd
An essay comparing performance implications of ignoring AVX acceleration
haoyang6551/VTM_intra_CNN_LGBM_patch