Program

Time	Tuesday - 5 April	Wednesday - 6 April	Thursday - 7 April
09:00-09:15	Workshop Opening - Prof. Nassir Navab	Advances in Convolutional Neural Networks - Christian Rupprecht	Introduction to MatConvNet and TensorFlow - Vasileios Belagiannis, Wadim Kehl
09:15-10:00	Fundamentals of Deep Learning - Christian Rupprecht
10:00-10:30		Domain Adaptation in Deep Learning - Sailesh Conjeti
10:30-11:00	Coffee break		Coffee break
11:00-11:30	Convolutional Neural Networks - Shadi Albarqouni	Coffee Break	Practical session on MatConvNet and TensorFlow, Ist part - Wadim Kehl, Vasileios Belagiannis
11:30-12:00		Deep Learning for medical image segmentation - Ahmad Ahmadi
12:00-12:30	Lunch		Lunch
12:30-13:00		Lunch
13:00-13:30
13:30-14:00	AutoEncoders - Sailesh Conjeti		Practical session on MatConvNet and TensorFlow, IInd part - Wadim Kehl, Vasileios Belagiannis
14:00-14:30		AggNet: Deep Learning from Crowds - Shadi Albarqouni
14:30-15:00
15:00-15:30	Coffee break	Activity Recognition and Event Detection in Multimodal Medical Surveillance - Felix Achilles	Coffee break
15:30-16:00	Recurrent Neural Networks - Ahmad Ahmadi, Felix Achilles	Coffee Break	Practical session on MatConvNet and TensorFlow, IIIrd part- Wadim Kehl, Vasileios Belagiannis
16:00-16:30		Deep Learning for 3D computer vision - Federico Tombari, Wadim Kehl
16:30-17:00
17:00-17:30	Highlights from Deep Learning Workshop in California - Fausto Milletari	Highlights from Deep Learning Workshop in California - Fausto Milletari