Program

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


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