[visionlist] [AIDA] [Courses] Literate models for Computer Vision: Combining vision, language and reading

Ioanna Koroni ioannakoroni at csd.auth.gr
Mon Mar 21 04:19:17 -04 2022


COURSE TITLE: Literate models for computer vision: Combining vision,
language and reading


WEB SITE:  <https://sites.google.com/view/course-literatemodelsforvision>
https://sites.google.com/view/course-literatemodelsforvision


LECTURERS:      Dimosthenis Karatzas (dimos at cvc.uab.es
<mailto:dimos at cvc.uab.es> ), Ernest Valveny (ernest at cvc.uab.cat
<mailto:ernest at cvc.uab.cat> ), Lluis Gomez (lgomez at cvc.uab.es
<mailto:lgomez at cvc.uab.es> ), Ali Biten, Andres Mafla, Ruben Perez, Sergi
Garcia


ORGANIZER:     Computer Vision Centre, Barcelona, Spain


CONTENT AND ORGANIZATION:  Written information in the world around us is a
fundamental cue for a multitude of everyday tasks. From shopping at the
supermarket to finding our destination in an unknown urban space, written
text helps us perform many tasks that would otherwise be much more complex.


Computer vision systems on the other hand, have been practically illiterate
for the first half century of their lifetime. Specific research on reading
systems has been going on for decades, but the semantic information that
image text conveys was not incorporated to higher-level computer vision
tasks until very recently. This is gradually changing, afforded by the great
success achieved in the field of scene text recognition in recent years.


Through this short interactive course, doctoral students will have a chance
to reconcile with the state of the art in reading systems, especially scene
text recognition, and explore how image text enables us to tackle new and
exciting computer vision tasks such as fine-grained image classification,
cross-modal retrieval, captioning and visual question answering..


 

REGISTRATION: Free of charge

 

WHEN: April 4, 2022 - 17.00-19.00 CET and April 6, 2022 - 17:00 - 19:00 CET

 

WHERE: The course will take place in hybrid mode. Onsite attendance is
possible at the Computer Vision Centre, Barcelona (limited availability).
For ONLINE participants, a link will be provided by the organisers after
registration/enrollment.

 

HOW TO REGISTER and ENROLL: 

Both AIDA and non-AIDA students are encouraged to participate in this short
course. 

 

If you are an AIDA Student* already, please: 

Step (a): Register in the course by filing in the form at the Web site of
the course
<https://sites.google.com/view/course-literatemodelsforvision/registration?a
uthuser=0> 

AND 

Step (b): Enroll in the same course in the AIDA course site
https://www.i-aida.org/course/vision-and-language-reading-systems-and-multi-
modal-representations/

using the "Enroll on this Course" button, which you can find there, so that
this course enters your AIDA Certificate of Course Attendance.

 

If you are not an AIDA Student do only step (a). 

 

*The International AI Doctoral Academy (AIDA) has 73 members, which are top
AI Universities, Research centers and Industries:
<https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=20220227155943016697
9&URLID=3&ESV=10.0.15.7233&IV=BB037ED3B12F2777180E2FE00438846D&TT=1645977584
923&ESN=%2FwqscGludfJ5ZK96xMM5VPA%2FydclXWMakKctvxs0k%2FE%3D&KV=153696172928
0&B64_ENCODED_URL=aHR0cHM6Ly93d3cuaS1haWRhLm9yZy8&HK=26993ACB83D95EAF8317C1C
7BF9186A3E3AA1B22217DD0908BCE3AA33B4A2627> https://www.i-aida.org/

AIDA Students should have been registered in the AIDA system already (they
are PhD students or PostDocs that belong only to the AIDA Members listed in
this page:
<https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=20220227155943016697
9&URLID=1&ESV=10.0.15.7233&IV=B2A1D7FA8A1918941E8C560177C33C06&TT=1645977584
923&ESN=i%2B%2BnSdQCGpTb9fthJLBydzqhw49U25GdbhRwiH%2Fbj%2B0%3D&KV=1536961729
280&B64_ENCODED_URL=aHR0cHM6Ly93d3cuaS1haWRhLm9yZy9hYm91dC9tZW1iZXJzLw&HK=96
B88288F267D1C8CD7204AD7A248EF36C1112EDC1123E6DC0BCD76D646BE1AA> Members)

 

 


Computer Vision Center <http://www.cvc.uab.cat>  
CONFIDENTIALITY WARNING <http://www.cvc.uab.es/?page_id=7475>  



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