Deep Learning Applications

Published: 09 Oct 2015 Category: deep_learning

Papers

DeepPose: Human Pose Estimation via Deep Neural Networks

intro: CVPR 2014
arxiv: http://arxiv.org/abs/1312.4659
slides: http://140.122.184.143/paperlinks/Slides/DeepPose_HumanPose_Estimation_via_Deep_Neural_Networks.pptx
github: https://github.com/asanakoy/deeppose_tf

Heterogeneous multi-task learning for human pose estimation with deep convolutional neural network

paper: www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W15/papers/LI_Heterogeneous_Multi-task_Learning_2014_CVPR_paper.pdf

Flowing ConvNets for Human Pose Estimation in Videos

arxiv: http://arxiv.org/abs/1506.02897
homepage: http://www.robots.ox.ac.uk/~vgg/software/cnn_heatmap/
github: https://github.com/tpfister/caffe-heatmap

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

arxiv: http://arxiv.org/abs/1511.09439
project page: https://fling.seas.upenn.edu/~xiaowz/dynamic/wordpress/monocular-human-pose/
video: http://weibo.com/p/230444264a8772b7fff71cd23e40b8a88dcaad

Structured Feature Learning for Pose Estimation

arxiv: http://arxiv.org/abs/1603.09065
homepage: http://www.ee.cuhk.edu.hk/~xgwang/projectpage_structured_feature_pose.html

Convolutional Pose Machines

arxiv: http://arxiv.org/abs/1602.00134
github: https://github.com/shihenw/convolutional-pose-machines-release
github(PyTorch): https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation

Model-based Deep Hand Pose Estimation

paper: http://xingyizhou.xyz/zhou2016model.pdf
github: https://github.com/tenstep/DeepModel

Stacked Hourglass Networks for Human Pose Estimation

homepage: http://www-personal.umich.edu/~alnewell/pose/
arxiv: http://arxiv.org/abs/1603.06937
github: https://github.com/anewell/pose-hg-train
demo: https://github.com/anewell/pose-hg-demo

Chained Predictions Using Convolutional Neural Networks

intro: EECV 2016
keywords: CNN, structured prediction, RNN, human pose estimation
arxiv: http://arxiv.org/abs/1605.02346

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

arxiv: http://arxiv.org/abs/1605.03170
github: https://github.com/eldar/deepcut-cnn

Real-time Human Pose Estimation from Video with Convolutional Neural Networks

arxiv: http://arxiv.org/abs/1609.07420

Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation

arxiv: https://arxiv.org/abs/1702.02447

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

project page: https://www.adrianbulat.com/binary-cnn-landmarks
arxiv: https://www.arxiv.org/abs/1703.00862

Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation

arxiv: https://arxiv.org/abs/1705.00389
video: http://v.qq.com/x/page/c039862eira.html
video: http://v.qq.com/x/page/f0398zcvkl5.html
video: http://v.qq.com/x/page/w0398ei9m1r.html

Human Pose Detection Mining Body Language from Videos

blog: https://medium.com/@samim/human-pose-detection-51268e95ddc2

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

intro: OpenPose is a library for real-time multi-person keypoint detection and multi-threading written in C++ using OpenCV and Caffe
github: https://github.com/CMU-Perceptual-Computing-Lab/openpose

Learning Feature Pyramids for Human Pose Estimation

arxiv: https://arxiv.org/abs/1708.01101
github: https://github.com/bearpaw/PyraNet

Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation

intro: CVPR 2017
arxiv: https://arxiv.org/abs/1702.03431

Multi-Context Attention for Human Pose Estimation

intro: CVPR 2017
arxiv: https://arxiv.org/abs/1702.07432
github(Torch): https://github.com/bearpaw/pose-attention

Human Pose Estimation with TensorFlow

https://github.com/eldar/pose-tensorflow

Cascaded Pyramid Network for Multi-Person Pose Estimation

intro: CVPR 2018. Tsinghua University & HuaZhong Univerisity of Science and Technology & Megvii Inc
arxiv: https://arxiv.org/abs/1711.07319
github(official): https://github.com/chenyilun95/tf-cpn

Integral Human Pose Regression

https://arxiv.org/abs/1711.08229

LSTM Pose Machines

intro: SenseTime
arxiv: https://arxiv.org/abs/1712.06316

Detect-and-Track: Efficient Pose Estimation in Videos

intro: Ranked first in ICCV 2017 PoseTrack challenge (keypoint tracking in videos)
arxiv: https://arxiv.org/abs/1712.09184

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

intro: CVPR 2017
project page: http://alpguler.com/DenseReg.html
arxiv: https://arxiv.org/abs/1612.01202
github: https://github.com/ralpguler/DenseReg

DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild

https://arxiv.org/abs/1803.02188

DensePose: Dense Human Pose Estimation In The Wild

intro: INRIA & Facebook AI Research
project page: http://densepose.org/
arxiv: https://arxiv.org/abs/1802.00434

LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images

intro: journal version of the CVPR 2017 paper
arxiv: https://arxiv.org/abs/1803.00455

Deep Pose Consensus Networks

https://arxiv.org/abs/1803.08190

3D Human Pose Estimation in the Wild by Adversarial Learning

intro: CVPR 2018
arxiv: https://arxiv.org/abs/1803.09722

Multi-Scale Structure-Aware Network for Human Pose Estimation

https://arxiv.org/abs/1803.09894

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

intro: IJCAI 2018 oral. Hikvision Research Institute
arxiv: https://arxiv.org/abs/1804.06055

Learning to Refine Human Pose Estimation

intro: CVPRW (2018). Workshop: Visual Understanding of Humans in Crowd Scene and the 2nd Look Into Person Challenge (VUHCS-LIP)
arxiv: https://arxiv.org/abs/1804.07909