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teaching:le-sem-perc-ws18 [2018/10/10 07:02] jworchteaching:le-sem-perc-ws18 [2018/11/26 09:23] (current) jworch
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 ^**Assignment nr.**^**Handed out**^**Submission date**^ ^**Assignment nr.**^**Handed out**^**Submission date**^
-^A1^25th October^13th November 08:00 AM^ +^A1^25th October^12th November 08:00 AM^ 
-^A2^15th November^4th December 08:00 AM^ +^A2^15th November^3rd December 08:00 AM^ 
-^A3^6th December^8th January 08:00 AM^ +^A3^29th November^7th January 08:00 AM^ 
-^A4^10th January^4th February 12:00 PM^+^A4^10th January^29th January 12:00 PM^
  
  
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 ^Date^Activity^ ^Date^Activity^
 ^18.10 10:00-11:30 and 12:30-14:00^**Lecture**: Introduction to 3D and Acquisition of 3D data^ ^18.10 10:00-11:30 and 12:30-14:00^**Lecture**: Introduction to 3D and Acquisition of 3D data^
-^26.10 10:00-11:30^Exercise: Introduction to 3D^ +^25.10 10:00-11:30^Exercise: Introduction to 3D^ 
-^01.11 10:00-11:30 and 12:30-14:00^ **Lecture**: Features and Filters+^01.11 10:00-11:30^ **Lecture**: Features^ 
-^08.11 10:00-11:30^Exercise: 2D Keypoints and descriptors^ +^15.11 10:00-11:30^Exercise: 2D Keypoints and descriptors^ 
-^15.11 10:00-11:30^Exercise: 3D Keypoints and descriptors^ +^22.11 10:00-11:30 and 12:30-14:00^ **Lecture**: Filters and Objects I^ 
-^30.11 10:00-11:30 and 12:30-14:00^ **Lecture**: Objects I and II+^29.11 10:00-11:30^Exercise: 3D Features and Object recognition^ 
-^07.12 10:00-11:30^Exercise: Object recognition^ +^06.12 10:00-11:30^Exercise: Discussion of assignment^ 
-^14.12 10:00-11:30^Exercise: Discussion of assignment^ +^20.12 10:00-11:30 and 12:30-14:00^ **Lecture**: Objects II and Scenes
-^21.12 10:00-11:30 and 12:30-14:00^ **Lecture**: Scenes I and II^ +^10.01 10:00-11:30^Exercise: Segmentation of kitchen scene^ 
-^11.01 10:00-11:30^Exercise: Segmentation of kitchen scene^ +^17.01 10:00-11:30 and 12:30-14:00^ **Lecture**: CNNs and Applications^ 
-^18.01 10:00-11:30 and 12:30-14:00^ **Lecture**: CNNs and Applications^ +^24.01 10:00-11:30^Exercise: Exercise using CNNs
-^25.01 10:00-11:30^Exercise: Exercise using CNNs^+^31.01 10:00-11:30^Exercise: Q&A^




Prof. Dr. hc. Michael Beetz PhD
Head of Institute

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ai-office@cs.uni-bremen.de

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