brandonhuo Goto Github PK

abcpy

ABCpy package

attention3dhumanpose

The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"

brandonhuo.github.io

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cs6756_learning_robot_decisions

CS6756: Learning for Robot Decision Making (L4RD), Assignments and Resources

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepconvlstmnet

epipolarpose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

fairmot

A simple baseline for one-shot multi-object tracking

gpc

Gaussian process code in C++ including some implementations of GP-LVM and IVM.

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

human-path-prediction-ynet

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

human-trajectory-prediction-via-neural-social-physics

Our ECCV 2022 paper Human Trajectory Prediction via Neural Social Physics

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

mebow

Code for "MEBOW: Monocular Estimation of Body Orientation In the Wild", CVPR 2020

models

Models and examples built with TensorFlow

motchallengeevalkit

opentraj

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

p2t

Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735

pandas_exercises

Practice your pandas skills!

pedestrian_datasets_vis

The visualization of annotation files for different pedestrian datasets.

pedsim

standalone pedsim library (pedestrian simulator using social force model)

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pylds

some tools for gaussian linear dynamical systems

pyslds

pythonworkshops

Materials for Python and related workshops

se3posenets-pytorch

Code for SE3-Pose-Nets paper from ICRA 2018.

socialforcemodel