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layout category title date
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deep_learning
Deep Learning Applications
2015-10-09

Papers

DeepPose: Human Pose Estimation via Deep Neural Networks

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

Flowing ConvNets for Human Pose Estimation in Videos

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

Structured Feature Learning for Pose Estimation

Convolutional Pose Machines

Model-based Deep Hand Pose Estimation

Stacked Hourglass Networks for Human Pose Estimation

Chained Predictions Using Convolutional Neural Networks

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

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

Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation

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

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

A simple yet effective baseline for 3d human pose estimation

Human Pose Detection Mining Body Language from Videos

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

Learning Feature Pyramids for Human Pose Estimation

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

Multi-Context Attention for Human Pose Estimation

Human Pose Estimation with TensorFlow

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

Cascaded Pyramid Network for Multi-Person Pose Estimation

Integral Human Pose Regression

https://arxiv.org/abs/1711.08229

LSTM Pose Machines

Detect-and-Track: Efficient Pose Estimation in Videos

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

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

https://arxiv.org/abs/1803.02188

DensePose: Dense Human Pose Estimation In The Wild

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

Deep Pose Consensus Networks

https://arxiv.org/abs/1803.08190

3D Human Pose Estimation in the Wild by Adversarial Learning

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

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

Simple Baselines for Human Pose Estimation and Tracking

https://arxiv.org/abs/1804.06208

3D Human Pose Estimation with Relational Networks

https://arxiv.org/abs/1805.08961

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

AlphaPose

RMPE: Regional Multi-person Pose Estimation

Pose Flow: Efficient Online Pose Tracking

https://arxiv.org/abs/1802.00977

AlphaPose: Multi-Person Pose Estimation System


Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

https://arxiv.org/abs/1805.01026

Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation

https://arxiv.org/abs/1805.00603

Projects

MobilePose: Single Person Pose Estimation for Mobile Device

PyTorch-Pose: A PyTorch toolkit for 2D Human Pose Estimation

Challenge

POSETRACK CHALLENGE: ARTICULATED PEOPLE TRACKING IN THE WILD

https://posetrack.net/workshops/eccv2018/#challenges