Jan van Gemert

Doing a MSc thesis at Delft University of Technology (TU Delft) in Computer Vision / Deep learning

I try to give MSc students a sense of doing real, cutting edge research and I have published in top venues based on a MSc thesis.
I exclusively supervise MSc thesis topics on visual data (images, video).

First meeting.
For our first meeting I want you to prepare the following, which we will discuss in turn:

  • Information: I will need your first name, last name, email address, formal thesis starting date and student number.
  • Create a git project named 'mscYourName' with 3 folders: 'code' (for your code), 'thesis' (for your latex files), 'notes' (for our agreements). Send an email to eip-ewi at tudelft dot nl to let them create a TU Delft gitlab repository for you, and mention that you are my MSc thesis student.
  • You are resposible for making sure that you graduate on time. Add a text file to the 'notes' folder on the git with the name: "planning.txt" with a planning time line (give the expected dates) of when required forms, committee meetings, milestones, green light moments, etc., are due. Your graduation date critically depends on timely submission of these forms. For EWI students this is the policy and *you* will have to use these forms.
  • Please write down that the final submissing of the thesis to the exam committee is 10 working days (2 weeks) before your final defense day.
  • Bring all the required forms to the meeting. (For EWI students: TEP and IEP forms?).
  • Show me that you have good grades for: 1. Deep Learning; and 2. Computer Vision by Deep Learning. Additional Machine Learning or visual data processing courses will be appreciated.
  • After we had our first meeting, on the day you formally wish to start your thesis: send an email to S.Peters at tudelft dot nl to let her know your starting date and that you will start your MSc thesis with me.
  • Read my research guidelines.
  • Write your MSc Thesis in the style of an academic article. This means you will need two parts: 1. The article; preferably in double column CVPR-style Latex format and 2. Supplemental material that provides the background of the thesis. Here are some examples. For the writing: follow my writing guidelines. If you submit something to get feedback, use the "review" format that has line numbers.
  • Are you training deep networks? Unfortunately, significant time goes to tuning hyperparameters, please be prepared to follow A Recipe for Training Neural Networks
  • We meet in my office, make an appointment with me online.
During your thesis work.
  • For meetings with me follow my research meeting protocol. You are responsible for scheduling meetings and your own progress.
  • Mandatory student meetings: Every 2 weeks we have scheduled MSc student presentations (schedule). You are required to present a few times (follow my presentation guidelines.) and you have to attend at least 10x, if you cannot make it send an email to Saskia Peters (S.Peters@tudelft.nl). The benefit for you is that you can practice your presentation a few times before your final defense and that you get feedback and insight in what others are doing.
  • Every 3 months we have a few hours of poster presentations where the Bio-Informatics lab, Pattern Recognition lab, and Computer Vision lab members present work to each other, followed by drinks. You will be expected to present your work during the Computer Vision posters. The benefit for you is: independent feedback from experts, insight in all research in the group, experience in presenting your topic to others.
  • If you are interested, feel free to join our "coffee talks": Typically every Tue/Wed/Thu in room Ritchy at the 5th floor someone presents a ML/PR/DL/CV paper in 10 minutes.
  • Do not forget to keep everything in your git up to date on bitbucket
  • Whenever you are stuck: First re-read my guidelines.
The formal requirements (forms, timeline, green-light moment, etc.) vary per faculty. You are responsible for managing these requirements. The procedure during the defense is approximately as follows:
  • You give a presentation of around 20 minutes (follow my presentation guidelines.) The presentation time is short on purpose: we wish to assess how well you can extract the essentials of your work.
  • Some questions from the audience.
  • The committee and the candidate have a non-public private discussion where each committee member has approximately 10 minutes to ask detailed questions.
  • The candidate leaves the room, and the committee decides on a weighted grade, based on this matrix.
  • The committee motivates the grade to the candidate.
  • The diploma ceremony proceeds in public.

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