Publications
Filip Nowicki, Hubert Marciniak, Jakub Łączkowski, Krzysztof Jassem, Tomasz Górecki, Vimala Balakrishnan, Desmond C. Ong, Maciej Behnke
arXiv preprint arXiv:2602.00123
Benchmarks nine vision-language models on three validated affective image datasets for emotion classification and rating prediction, showing good alignment with human judgments overall but weaker performance on finer affective nuance.
Maciej Behnke, Maciej Kłoskowski, Michał Klichowski, Wadim Krzyżaniak, Kacper Szymański, Patryk Maciejewski, Patrycja Chwiłkowska, Marta Kowal, Rafał Jończyk, Jan Nowak, Szymon Kupiński, Dominika Kunc, Stanisław Saganowski, Aakash A. Chowkase, Farida Guemaz, Kevin S. Kertechian, Ameer IMT Maadal, Leonardo A. Aguilar, Barnabas T. Alayande, Vimala Balakrishnan, Dana M. Basnight-Brown, Jordane Boudesseul, Tomás A. D'Amelio, Jovi C. Dacanay, Abhishek Dedhe, Shan Gao, João F. G. B. Takayanagi, Md Rohmotul Islam, Alvaro Mailhos, Christine M. Mpyangu, Moises Mebarak, Arooj Najmussaqib, Ju Hee Park, Ekaterine Pirtskhalava, Eli Rice, Sohrab Sami, Yuki Yamada, Jan Baczyński, Lilianna Dera, Szymon Jęśko-Białek, Jakub Łączkowski, Hubert Marciniak, Filip Nowicki, Bartosz Wilczek, James J. Gross, Nicholas A. Coles
Advances in Methods and Practices in Psychological Science
Presents a human-in-the-loop pipeline for generating context-aware affective images with AI and validates an initial library across six studies conducted in 58 countries.