The Indian Chefs Process

no code implementations • 29 Jan 2020 • Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette

This paper introduces the Indian Chefs Process (ICP), a Bayesian nonparametric prior on the joint space of infinite directed acyclic graphs (DAGs) and orders that generalizes Indian Buffet Processes.

Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection

1 code implementation • ICLR 2018 • Ludovic Trottier, Philippe Giguère, Brahim Chaib-Draa

We show that CNNs connected with our Deep Collaboration obtain better accuracy on facial landmark detection with related tasks.

Facial Landmark Detection Multi-Task Learning

Dictionary Learning for Robotic Grasp Recognition and Detection

no code implementations • 2 Jun 2016 • Ludovic Trottier, Philippe Giguère, Brahim Chaib-Draa

The ability to grasp ordinary and potentially never-seen objects is an important feature in both domestic and industrial robotics.

Dictionary Learning

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

no code implementations • 30 May 2016 • Ludovic Trottier, Philippe Giguère, Brahim Chaib-Draa

Object recognition is an important task for improving the ability of visual systems to perform complex scene understanding.

Object Recognition Scene Understanding