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The lectures take place in KN:E-301 on Monday 14:30-16:00 and the labs take place in KN:E-230 on Monday and Tuesday. Tests take place during lectures. The points are divided as follows:
Minimum credit requirements:
The final grade will be determined by the total number of points according to the following table
All homework will be assigned during the labs; see the lab schedule for the assignment dates. The submission of each homework has a strict deadline. The number of points achieved from the homework will depend on the relative performance of the solution.
In well-justified cases, students can replace some homeworks with semestral work supervised by an external advisor (any faculty member). If you're interested, please speak with me after the lecture. The project must be related to deep learning and aligned with the content of this course. We can assist with questions such as “Why is my classifier failing to generalize to new data?” but cannot provide support for issues like “I downloaded someone else's code and can’t compile it” or “How do I build a mobile app?”. Semester project presentations will take place in the 14th week during lab sessions. Presentations will be 10 minutes long, and evaluations will be conducted by both lecturers and students.
There will be two assessments in total: a mid-term and an exam. These are worth 20 points each, giving a maximum of 40 achievable points in total. Both will take place during Monday Lectures; see schedule for planned weeks. The competencies required for passing the test will be summarized at the end of each lecture.
Karel Zimmermann is the main lecturer of ViR. He is currently an associate professor at the Czech Technical University in Prague. He received his PhD degree in cybernetics in 2008. He worked as postdoctoral researcher with the Katholieke Universiteit Leuven (2008-2009) in the group of prof Luc van Gool. His current H-index is 16 (google-scholar), and he serves as a reviewer for major journals such as TPAMI or IJCV and conferences such as CVPR, ICCV, IROS. He received the best lecturer award in 2018, the best reviewer award at CVPR 2011 and the best PhD work award in 2008. His journal paper has been selected among the 14 best research works representing Czech Technical University in the government evaluation process (RIV). Since 2010 he has been chair of the Antonin Svoboda Award (http://svobodovacena.cz). He was also with the Technological Education Institute of Crete (2001), the Technical University of Delft (2002), and the University of Surrey (2006). His current research interests include learnable methods for robotics. Aleš Kučera is the head of the labs. He is a master's student in Cybernetics and Robotics. (kuceral4@fel.cvut.cz) Jan Vlk is the lab tutor. He is a master's student in Cybernetics and Robotics. (vlkjan6@fel.cvut.cz)
We want students to work individually; therefore, any plagiarism in codes, homework or reports will be punished. We strongly urge each student to read what is/is not plagiarism - we believe that many students will be surprised. In any case, it is not permitted to use the work of your colleagues or predecessors. Each student is responsible for ensuring that his work does not get into the hands of other colleagues. In the case of multiple submissions of the same work, all involved students will be penalized, including those who gave the work available to others.
The above does not apply to semestral works (2nd part of the semester) in which you will be working as a team and can cooperate between teams as well.