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

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

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

Discover pretrained models for deep learning in MATLAB

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

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