hitzhangyu Goto Github PK

4kdehazing

a-simple-self-calibration-method-for-the-internal-time-synchronization-of-mems-lidar

Automatic intrinsic parameter parameter calibration through point cloud: time delay between reference and measurement, time delay between laser and mems

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-holography

A curated list of resources on holographic displays.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

cnn_deblur

deblur-lossfunction

d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

dota-doai

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

flw-net

Simplifying Low-Light Image Enhancement Networks with Relative Loss Functions

google-research

Google Research

greenpepper

hadar

This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instea

image-enhancement-with-denoise

Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks

instance_segmentation_in_the_dark

Instance Segmentation in the Dark

largevis

learning-an-adaptive-model-for-extreme-low-light-raw-image-processing

preprint - In this work, we propose an adaptive low-light raw image enhancement network to avoid parameter-handcrafting and to improve image quality

low-light-video-enhancement

video enhancement

matlab-image-dehazing-enhazing

图像去雾、图像增强、灰度直方图均衡化等

model-based-deblur-with-cnn

A new kind of method for image deblur, which can be combined with blur model. (Improvement of my master's thesis))

msckf

MSCKF 中文注释版 https://github.com/dysenustc/NoteBook/blob/64530edda0f50d3cdc130320514b364d53eb8a0b/imuslam/MSCKF1.0paper.pdf

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-generative-adversarial-network

Method of Generating Adversarial Examples By Pytorch: L-BFGS, FGSM, I-FGSM, MI-FGSM, DeepFool, C&W, JSMA, ONE-PIXEL, UPSET

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

research-method

论文写作与资料分享

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

self-supervised-image-enhancement-network-training-with-low-light-images-only

Self-supervised Image Enhancement Network: Training With Low Light Images Only

siren-copy

the code of "Implicit Neural Representations with Periodic Activation Functions"

slampaperreading

泡泡机器人北京线下SLAM论文分享资料