-
Tsinghua university
- Haidian District, Beijing, PRC
-
01:00
(UTC +08:00) - https://jzsherlock4869.github.io/
-
lowlevel-book-codebase Public
Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024), including denoising, super-resolution, dehazing, image composition and enhancement models and algorithms implemented …
-
-
pyseismic Public
python tools for seismic ground-roll (surface wave) simulation
-
a simple and easy to follow pytorch implementation of U-net for retina vessel segmentation
-
-
algorithm-engineer-prepares Public
A brief collections of (minimal) required knowledge for algorithm engineers. Including computer vision, deep learning, machine learning and other basic algorithms
-
RGBW-fusion-denoise Public
codebase for RGBW fusion and denoising challenge of MIPI 2022 (team jzsherlock)
-
-
TISR_APTX4869 Public
Source code of team APTX4869 (3rd in x2 MR2HR PSNR/SSIM metrics) in Thermal Image Super-Resolution Challenge Results - PBVS 2023
-
pose-estimation-pipeline Public
simple human pose estimation, keypoints detection. Support MPII and COCO format dataset. (annotation converter for MPII .mat included)
-
exposure-fusion-cpp Public
Exposure fusion method implemented in C++, which combines multi-expo images to high quality image.
-
leetcode-by-category Public
leetcode solutions and summarizations organised by problem category (array, string, bfs, dp, tree etc.)
-
mavoc-sar-eo-track Public
PBVS 2022 Multi-modal Aerial View Object Classification Challenge Track 2 (SAR+EO) 6th Solution
-
denoise-ignet Public
Official code of "Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising"
-
guided-filter-cpp Public
implementation of Guided Filter [Kaiming He, ECCV10] using C++
-
opencl-gamma-example Public
An example mini-project using OpenCL to conduct gamma transform of images
-
image-classification-pipeline Public template
An easy to run and modify pipeline project for image classification. Support folder and csv format dataset.
-
image-segmentation-pipeline Public template
Codebase for semantic segmentation that you can get started and modify without too much effort.
-
Implementations of methods in book <Reinforcement Learning: an introduction> by Sutton Barto, using Python.
-
games101-codes Public
ucsb games101 (overview of computer graphics) codes
-
cyclegan-pytorch Public
An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch