We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
Ruslan Salakhutdinov, Antonio Torralba, Josh Tenen...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
Vision feedback control loop techniques are efficient for a great class of applications but they come up against difficulties when the initial and desired positions of the camer...
We present a framework for computing generalized distance transforms and skeletons of two-dimensional objects using graphics hardware. Our method is based on the concept of footpr...
In this paper we present a technique for rendering and simulating liquid foams in real time using GPUs [11, 12]. The goal is to have bubbles meeting physical properties when inter...