This is a resouce list for low light image enhancement

This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

Matlab implementation of the ECO tracker.

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

Fashion Detection in the Wild (Deep Clothes Detector)

A simple yet effective loss function for face verification.

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

TOFlow: Video Enhancement with Task-Oriented Flow

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"

Discover pretrained models for deep learning in MATLAB

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

Deep Recurrent Neural Networks for Source Separation

Multi-view CNN (MVCNN) for shape recognition

Fashion Landmark Detection in the Wild