Armin Kappeler

Armin Kappeler received his M.S. and Ph.D. degree in electrical engineering from Northwestern University in 2016 where he worked on different deep neural networks applications for Image and video classification and recovery. For his thesis, he applied deep neural networks to video super-resolution. In 2015, he joined Verizon Media Group (Yahoo Research) as a research engineer, where he is working on image captioning, active learning, human pose estimation and other related computer vision applications.

projects by Armin Kappeler

Human Pose Estimation with Deep Neural Networks

8 weeks · 8-10 hours per week · ADVANCED

In this liveProject, you’ll take on the role of a machine learning engineer working for a company developing augmented reality apps. These apps include games, virtual shopping assistants, and fitness coaches that need to be able to reliably recognize the shape of a human body. Your challenge is to create an application for human pose estimation: detecting a human body in an image and estimating its key points such as knees and elbows. To do this, you’ll build a convolutional neural network from scratch, training your model using Google Colab and your GPU. At the end of this liveProject, you’ll have completed an interactive demo application that uses a simple webcam to detect and predict human keypoints.