Muhammed Kocabas's repositories
UniDepth
Universal Monocular Metric Depth Estimation
flowsam
Official Implementation of "Moving Object Segmentation: All You Need Is SAM (and Flow)" Junyu Xie, Charig Yang, Weidi Xie, Andrew Zisserman
particle-sfm
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. ECCV 2022.
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
multi-person-tracker
Simple Multi Person Tracker implementation in PyTorch
humor-1
Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"
body-model-visualizer
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
focal-loss-keras
Focal Loss implementation in Keras
yolov3-pytorch
YOLOV3 pytorch implementation as a python package
soccerontable
Upconverting YouTube soccer videos in 3D for viewing in AR/VR devices.Soccer On Your Tabletop
mannequinchallenge
Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."
EpipolarPose
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
human-pose-estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
cocoapi
COCO API - Dataset @ http://cocodataset.org/
awesome-human-pose-estimation
Human Pose Estimation Related Publication
pose-residual-network
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
CoordConv-pytorch
Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)