Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Last update: Dec 24, 2022

Overview

Human Pose Regression with Residual Log-likelihood Estimation

[Paper] [arXiv] [Project Page]

Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu
ICCV 2021 Oral

Regression with Residual Log-likelihood Estimation

TODO

Provide minimal implementation of RLE loss.
Provide implementation on Human3.6M dataset.
Provide implementation on COCO dataset.

Installation

Install pytorch >= 1.1.0 following official instruction.
Install rlepose:

pip install cython
python setup.py develop

Install COCOAPI.

pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'

Init data directory:

mkdir data

Download COCO data:

|-- data
`-- |-- coco
    `-- |-- annotations
        |   |-- person_keypoints_train2017.json
        |   `-- person_keypoints_val2017.json
        `-- images
            |-- train2017
            |   |-- 000000000009.jpg
            |   |-- 000000000025.jpg
            |   |-- 000000000030.jpg
            |   |-- ... 
            `-- val2017
                |-- 000000000139.jpg
                |-- 000000000285.jpg
                |-- 000000000632.jpg
                |-- ...

Train from scratch

./scripts/train.sh ./configs/256x192_res50_regress-flow.yaml train_rle

Evaluation

Download the pretrained model from Google Drive.

./scripts/validate.sh ./configs/256x192_res50_regress-flow.yaml ./coco-laplace-rle.pth

Citing

If our code helps your research, please consider citing the following paper:

@inproceedings{li2021human,
    title={Human Pose Regression with Residual Log-likelihood Estimation},
    author={Li, Jiefeng and Bian, Siyuan and Zeng, Ailing and Wang, Can and Pang, Bo and Liu, Wentao and Lu, Cewu},
    booktitle={ICCV},
    year={2021}
}

Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Related tags

Overview

Human Pose Regression with Residual Log-likelihood Estimation

TODO

Installation

Train from scratch

Evaluation

Citing

Owner

JeffLi

Parameter Efficient Deep Probabilistic Forecasting

[SIGGRAPH Asia 2021] Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

This repository contains the source code of our work on designing efficient CNNs for computer vision

Offical implementation for "Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation".

ROS support for Velodyne 3D LIDARs

This repository contains the code for the binaural-detection model used in the publication arXiv:2111.04637

Drone detection using YOLOv5

public repo for ESTER dataset and modeling (EMNLP'21)

Portfolio analytics for quants, written in Python

A general-purpose encoder-decoder framework for Tensorflow

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

This code provides various models combining dilated convolutions with residual networks

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

structured-generative-modeling

Neural implicit reconstruction experiments for the Vector Neuron paper

The project covers common metrics for super-resolution performance evaluation.

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs