Takeo Kanade

Convolutional Pose Machines

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models. In this work we show a systematic design for how convolutional networks can be...

Robust L₁ Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming

Matrix factorization has many applications in computer vision. Singular value decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missin...

A locally adaptive window for signal matching

An Iterative Image Registration Technique with an Application to Stereo Vision

Image registration finds a variety of applications in computer vision. Unfortunately, traditional image registration techniques tend to be costly. We present a new image registr...

Human Face Detection in Visual Scenes

We present a neural network-based face detection system. A retinally connected neural network examines small windows of an image, and decides whether each window contains a face...