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Institute of Visual Computing Introduction and Logistics 19 February 2018 Lisa Koch

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Institute of Visual Computing

Introduction and Logistics

19 February 2018

Lisa Koch

Institute of Visual Computing

About us

Torsten Sattler Lisa Koch Vagia Tsiminaki

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

Presentations start next Monday, 26 February

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])