introduction and logistics - cvg.ethz.ch · § understand fundamental work on the topic of deep...
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Institute of Visual Computing
About us: The CVG group
[Schönberger et al., 2018]
[Boukhayma et al., 2014]
Institute of Visual Computing
About this seminar
§ How to read and present scientific material
§ Understand fundamental work on the topic of deep learning for computer vision
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Institute of Visual Computing
Seminar structure
§ Today § Seminar logistics § Introduction to deep learning § How to read and present scientific material § Paper selection
§ Rest of the semester § 2-3 presentations per week (see handout or online) § Discussion of each paper / presentation
Institute of Visual Computing
Presentation and discussion format
§ Presentation (20min) § Paper content § Emphasise main contributions § Discuss significance and impact
§ Discussion (open ended) § Participation from everyone encouraged § Two assigned “critics” prepare questions
Institute of Visual Computing
Your duties
§ Must: § Present 1 paper § Study 2 additional papers in detail to prepare
questions for discussion § Attend the seminar (3 misses allowed)
§ Should: § Read all the papers § Participate in discussion
Institute of Visual Computing
Use help provided
From us:
§ Each paper has assigned tutor
§ Reach out to discuss the paper (in advance!)
Other resources:
§ Google is your friend
Institute of Visual Computing
Evaluation Criteria
§ Presenter role (80%): § Presentation content and structure (50%) § Comprehension (technical and impact) (20%) § Slides and presentation style (10%)
§ Critic role (20%): § Engagement in discussion § Constructive questions
Institute of Visual Computing
Assistants
Lisa Koch ([email protected])
Vagia Tsiminaki ([email protected])
Andrea Cohen ([email protected])
Daniel Thul ([email protected])
Ian Cherabier ([email protected])
Zhaopeng Cui ([email protected])
Katarina Tothova ([email protected])