Present a paper in class.
Overview 01 - Deep Learning Survey (Luiz Velho) 03 - Applications of DL (Julia Giannella) Convolutional Neural Nets 08 - ImageNet Classification with Deep Convolutional Neural Networks / Alexnet (Jose Ezequiel) 10 - Going Deeper with Convolutions / GoogLeNet (Jose Ezequiel) Style Transfer 17 - Painting Style Transfer for Head Portraits Using Convolutional Neural Networks (J. Ezequiel) Segmentation / Editing 22 - Segmenting and refining images with SharpMas (Felipe Senra) 24 - Automatic Photo Adjustment Using Deep Neural Networks (Felipe Senra) Stereo 29 - DeepStereo: Learning to Predict New Views from the World's Imagery (Rafael Arias)