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A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Interview questions to ponder related to computer vision.
COLMAP - Structure-from-Motion and Multi-View Stereo
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -
Questions to ask the company during your interview
A selection of state-of-the-art research materials on decision making and motion planning.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
The visualization of annotation files for different pedestrian datasets.
philferriere / cocoapi
Forked from cocodataset/cocoapiClone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A selection of state-of-the-art research materials on trajectory prediction
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Scalable Gaussian Process Regression Networks
This project is a part of our work, "Dynamic Vision Sensors for Human Activity Recognition" accepted at the IEEE 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
A curated list of background subtraction related papers and resources
Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
Gender detection (from scratch) using deep learning with keras and cvlib.
Predict Age and Gender of people from images | Determination of gender and age
A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam.
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"
Efficient 3D human pose estimation in video using 2D keypoint trajectories