dcnhan

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

insightface

Face Recognition Project on MXNet

Realtime_Multi-Person_Pose_Estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

spatial-transformer-GAN

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing (CVPR 2018)

DeepVideoAnalytics

A distributed visual search and visual data analytics platform.

ColumbiaImageSearch

Columbia Image and Face Search tool for MEMEX

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

pytorch-i-revnet

i-RevNet Pytorch Code

bier

Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.

JVCR-3Dlandmark

Code for "Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization"

AMSoftmax

adagan

AdaGAN: greedy iterative procedure to train mixtures of GANs

ACFN

Attentional Correlation Filter Network for Adaptive Visual Tracking

SegmPred

Predicting Deeper into the Future of Semantic Segmentation

densenet.mxnet

:fire:A MXNet implementation of DenseNet (with BC structure):fire:

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

inverse_rl

gps

Guided Policy Search

deepfeatinterp

Deep Feature Interpolation (CVPR 2017)

O-CNN

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

maf

Masked Autoregressive Flow

relative_depth

Code for the NIPS 2016 paper

CRRN-SceneLabeling

ndeblur

A Neural Approach to Blind Motion Deblurring

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

distilling_intractable_generative_models

Code that reproduces the experiments of the paper "Distilling Intractable Generative Models", at the NIPS workshop on Probabilistic Integration, 2015.

DeepAppearanceModels

gfmm

Code for the paper 'Geodesic Finite Mixture Model'.

RFNN