👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

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.

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.

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

Contrast Enhancement Techniques for low-light images

Fashion Detection in the Wild (Deep Clothes Detector)

Visual Object Tracking (VOT) challenge evaluation toolkit

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

Multi-view CNN (MVCNN) for shape recognition

Fashion Landmark Detection in the Wild

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"

Robust PCA implementation and examples (Matlab)

Deep Face Model Compression

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Dynamic Image Networks for Action Recognition