Visual Learning and Computer Vision

Prof. Dr. Björn Ommer, WiSe 2017/18


Type Extent Date Room Language
Seminar 4 SWS Do 14.00-16.00 INF 205 SR 9 German/English: According to agreement

More Information:

  • 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 active research topics. The one chosen for the seminars of the last semester were presented in 2017 at the main conferences of computer vision.
  • Topics: Computer vision, Object classification/detection/tracking, Supervised/Unsupervised learning, Action classification, Pose estimation, Image generation/superresolution, Style transfer
  • Methods: Convolutional Neural Network (CNN), [Variational] Auto-encoder, Recursive Neural Network (RNN), Long-Short Term Model (LSTM), Generative Adversarial Network (GAN)
  • Registration required due to limited number of participants.
  • Course open for Bachelor and Master students.
  • Registration open until: 29.09.2017
  • Register by sending [name, master/bachelor, year, matrikalnumber and major] at: Biagio Brattoli
  • Preliminary meeting and topic assignment: 19.10.2017 at 14:00 (room number coming)
  • More information can be found in the LSF