A long and great day at #icdar2024 goes to an end, receiving the IAPR/ICDAR Young Investigator Award was an incredible honor for me! Thank you all!
Now super tired after a great party 😄
What a a werk: on Tuesday @pintofscienceDE talk for this years #pint24de - much more fun than I imagined!
Then rebuttal time with #eccv24 and #miccai24, 3 PhD defenses happened at the lab and on Friday then a grant proposal deadline...
Pattern Recognition Lab shines in global citation ranking: Andreas Maier and Vincent Christlein among top 2% most-cited academics worldwide https://t.co/MbjoaorXGe
It is with pleasure that I announce the launch of @odeuropa’s Olfactory Storytelling Toolkit: A ‘How-To’ Guide for Working with Smells in Museums & Heritage Institutions (OST)!
https://t.co/m8epsp9IrR
@IngerLeemans@ucqbbem @WillTullett @caroverbeek@Lizzie_Marx@vic_toriane
SniffyArt: The Dataset of Smelling Persons
Smell gestures play a crucial role in the investigation of past smells in the visual arts yet their automated recognition poses significant challenges. Check out this paper!
https://t.co/shJdm3tOWU
Poster session @icdar2023, Mathias Seuret (right) explains his great approach for combining OCR approaches. #icdar2023
Joint work w @Janne_90, @NWeichselbaumer, @FlorianKordon et al.
Paper: https://t.co/Eeq1i60e3h
arXiv: https://t.co/rcqcKNin35
Code: https://t.co/IvBIHFlYrE
Finally, Johan Zenk presented the last of our 6 @icdar2023 papers at #HiP2023 on 'Investigations on Self-supervised Learning for Script-, Font-type, and Location Classification on Historical Documents'
Joint work w @FlorianKordon
M. Mayr, M. Seuret https://t.co/m11scKjQ30
@schustbenjamin kicks off our contributions @icdar2023 conference. The work estimates the neuropsychological Rey-Osterrieth Figure (s. image) test score.
Paper: https://t.co/IITBVKp2AW
Joint work w @FlorianKordon, M. Mayr, M. Seuret, S. Jost, J. Kessler #icdar2023@FAU_Germany
The (draft) program for the 7th International Workshop on Historical Document Imaging and Processing (HIP’23) @icdar2023 is now online - congratulations to all authors of accepted papers! https://t.co/h1JzQjCjkY
Last month, I successfully defended my PhD thesis on computer vision & deep learning in Art History & Classical Archaeology. Grateful to @maier_ak, @v_christlein, @Peter_Bell77, @UVerstegen, @cs_reinhardt, and Ronak Kosti for their guidance & shaping me as a scholar.