lihengMo's Stars
lihengMo/group-people-in-images
This is a project I did during the internship in IBM Research Tokyo. I used a CNN framework to estimate the human pairwise relation based on the humans location and head/face direction features. With using the estimation of the pairwise matrix calculated by the Pair-Net, using a customized spectral clustering to cluster the humans into different groups.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
pranoyr/head-detection-using-yolo
Detection of head using YOLO
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
tornadomeet/mxnet-face
Using mxnet for face-related algorithm.
li-haoran/mxnet-convolutional_pose_machines_Testing
convolutional pose machines
chinakook/Awesome-MXNet
A curated list of MXNet examples, tutorials and blogs.
oeway/pytorch-deform-conv
PyTorch implementation of Deformable Convolution
ijkguo/mx-rcnn
Parallel Faster R-CNN implementation with MXNet.
ShadowXZT/pytorch_RFCN
longcw/faster_rcnn_pytorch
Faster RCNN with PyTorch
akshit1811/DeepPoselets
Deep Poselets for human detection
rohitgirdhar/AttentionalPoolingAction
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
ouyangjiahong/multi_attention_gazenet
Spatial and temporal attention GazeNet
rohitgajawada/Where-are-they-looking-PyTorch
Where are they looking? - Gaze Following via Attention modelling and Deep Learning
mpatacchiola/deepgaze
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
mostafa-saad/deep-activity-rec
Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -
guillaume-chevalier/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
lihengMo/SCUT-FIR-toolbox
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
msracver/Deformable-ConvNets
Deformable Convolutional Networks
RobertCsordas/RFCN-tensorflow
RFCN implementation in TensorFlow
balancap/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
msracver/Flow-Guided-Feature-Aggregation
Flow-Guided Feature Aggregation for Video Object Detection
SCUT-CV/SCUT_FIR_Pedestrian_Dataset
A new benchmark dataset and baseline for on-road FIR pedestrian detection
msracver/Deep-Feature-Flow
Deep Feature Flow for Video Recognition
cnhzcy14/cy-ros-pkg
zhaoweicai/mscnn
Caffe implementation of our multi-scale object detection framework