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decoupled-classification-refinement

The is an official implementation of our ECCV2018 paper "Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (https://arxiv.org/abs/1803.06799)"

deep-expander-networks

Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".

deep-lab

Deep-Lab combines CNN with CRF. It's built on top of caffe

deep-landmark

Predict facial landmarks with Deep CNNs powered by Caffe.

deep-ncl

The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-reinforcement-learning-papers-1

A list of papers and resources dedicated to deep reinforcement learning

deep-residual-networks

Deep Residual Learning for Image Recognition

deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

deepbox

Code release for DeepBox paper in ICCV 2015

deeppose

Caffe implementation of DeepPose (http://static.googleusercontent.com/media/research.google.com/ja//pubs/archive/42237.pdf)

deeprl

Highly modularized implementation of popular deep RL algorithms by PyTorch

deformable-convnets

Deformable Convolutional Networks

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet.pytorch

A PyTorch implementation of DenseNet.

depthprediction

A tool to predict the depth field of a 2-dimensional image

detr

End-to-End Object Detection with Transformers

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

exploiting-spatial-temporal-relationships-for-3d-pose-estimation-via-graph-convolutional-networks

code for ICCV 2019 Paper Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

extreme_3d_faces

Extreme 3D Face Reconstruction: Looking Past Occlusions

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

face-alignment-pytorch

A re-implement of training and Inference code for 2D-FAN and 3D-FAN decribed in "How far" paper for Face Alignment Net

face-and-image-super-resolution

face-landmark-localization

cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).

face-landmarks-detection-benchmark

Face landmarks(fiducial points) detection benchmark

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

face_alignment_cvpr_2012

Facial pose and feature detection

facedetection_cnn

Multi-view Face Detection Using Deep Convolutional Neural Networks