Computer Vision and Deep Learning

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• Topics: Computer vision, Object classification/detection/tracking, Supervised/Unsupervised learning, Action classification, Pose estimation, Image & video synthesis/superresolution, Style transfer, Interpretability of deep models, ...
• Description: Each student will choose a paper among a set of proposed papers. The student needs to understand the paper, present it in front of the class and write a short report about it.
• Hot topics: all papers are chosen from current research topics and were published very recently in the major conferences/journals of the field.
• Methods: Convolutional Neural Networks (CNN), [Variational] Auto-encoders, Generative Adversarial Network (GAN), Recurrent Neural Networks (RNN), Invertible Models, ...
• Registration is now closed.
• Preliminary meeting and topic assignment: TBA
• More information can be found in the LSF