Princeton Vision & Learning Lab's repositories
pose-hg-train
Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"
pose-ae-train
Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"
pose-hg-demo
Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"
relative_depth
Code for the NIPS 2016 paper
DecorrelatedBN
Code for Decorrelated Batch Normalization
surface_normals
Code for the ICCV 2017 paper "Surface Normals in the Wild"
FormulaNet
Code for FormulaNet in NIPS 2017
selfstudy-render
Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
structured-matching
codes for ECCV 2016