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SongYankui's Projects

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d-prnn icon 3d-prnn

Torch implementation for ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"

dt-pinn icon dt-pinn

Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations

ehl icon ehl

MATLAB solver for Elastohydrodynamic Lubrication (EHL) problems. The solver is based on a Finite Volume (FV) discretization of the Reynolds equation incorporating mass-conserving cavitation through the cavity fraction and elastic deformation through the application of the Boundary Element Method (BEM) to an elastic half-space. Shear thinning, Roelands and Dowson-Higginson relations are also embedded in the code. Furthermore, the load-balance equation is considered.

olsbpi icon olsbpi

Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems." arXiv preprint arXiv:2107.07788 (2021)."}

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

openpose_ros-1 icon openpose_ros-1

ROS Wrapper for Real-Time Multi-Person Pose Estimation with a Single Camera: Project developed during summer internship at IRI (Institut de Robòtica i Informàtica industrial) in Perception and Manipulation Lab (http://www.iri.upc.edu/research/perception).

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

simulinkadptools icon simulinkadptools

Building a library for implementing ADP algorithms in adaptive optimal control design

slippy icon slippy

A python 3.7 library for friction, lubrication and contact mechanics models

stonehenge icon stonehenge

STONEHENGE is an ensemble of easy-to-run codes for nonlinear dynamic analysis of vibration energy harvesting systems.

tf-pose-estimation icon tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architecture for fast inference.

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