Top Tweets for #DIRA2022
It was a pleasure to present our work at #ECCV2022 #DIRA2022!
This great work was done with Simon Tannert, Marcello Feighelstein, Jasmina Bogojeska, @JosephShtok, Peter Staar, Anika Schumann, Jonas Kuhn, and @leokarlin.
@IBMResearch @MITIBMLab
#ECCV2022 #DIRA2022 @ArbelleAssaf is presenting "FlowchartQA: The First Large Scale Benchmark for Reasoning Over Flowcharts"
Preprint: https://t.co/SLTQxRofG2

#ECCV2022 #DIRA2022 @ArbelleAssaf is presenting "FlowchartQA: The First Large Scale Benchmark for Reasoning Over Flowcharts"
Preprint: https://t.co/SLTQxRofG2

Now at #DIRA2022 @AmitAlfassy is presenting "FETA: Towards Specializing Foundational Models for Expert Task Applications" #ECCV2022
Preprint: https://t.co/0ZqzpOEYz0

My poster from the #DIRA2022 workshop is available in the main hall near Hall I. Come by and chat about the differences in #informationretrieval between abstract and natural images when using general search engines. #ECCV2022

@ygryaditskaya #DIRA2022 #ECCV2022 @ygryaditskaya talks about how humans sketch and compares their results to machines attempting to sketch. Text descriptions can help for image retrieval, but sketches give us a better idea of the user's information need.

Now @ygryaditskaya is giving the second #DIRA2022 keynote "Do you speak Sketch?"
When can a human/machine recognize the object in a sketch? How well can they sketch?
#ECCV2022

This work will be presented at the Drawings and abstract Imagery: Representation and Analysis (#DIRA2022) workshop being held as part of #ECCV2022. #computervision #imageretrieval #machinelearning #informationretrieval
https://t.co/9WbQ7hscUI
Thanks to the #DIRA2022 workshop for accepting my paper with Diane Oyen: "Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine." #imageretrieval
When using reverse image search, are natural images more easily discovered than abstract ones?

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