DAIICT-Hildesheim @ Information Retrieval from Microblogs during Disasters (IRMiDis 2018). - Noushin Fadaei; Chanjong Im; Sandip Modha; Thomas Mandl 001 (FIRE (Working Notes), 2018)

Deep Learning Approaches to Classification of Production Technology for 19th Century Books. - Chanjong Im; Junaid Ahmed Ghauri; John Rothman; Thomas Mandl 001 (LWDA, 2018)

Herausforderungen für die Klassifikation historischer Buchillustrationen. Überlegungen am Beispiel retrodigitalisierter Kinder- und Jugendsachbücher des 19. Jahrhunderts. - Wiebke Helm; Chanjong Im; Thomas Mandl 001; Sebastian Schmideler (DHd, 2019)

Applying Computer Vision Systems to Historical Book Illustrations: Challenges and First Results. - Yongho Kim; Thomas Mandl 001; Chanjong Im; Sebastian Schmideler; Wiebke Helm (DHN Post-Proceedings, 2020)

Deep learning for historical books: classification of printing technology for digitized images. - Chanjong Im; Yongho Kim; Thomas Mandl 001 (Multim. Tools Appl., 2022)

University of Hildesheim at SemEval-2023 Task 1: Combining Pre-trained Multimodal and Generative Models for Image Disambiguation. - Sebastian Diem; Chanjong Im; Thomas Mandl 001 (SemEval@ACL, 2023)

Object Detection in Historical Images: Transfer Learning and Pseudo Labelling. - Yongho Kim; Chanjong Im; Thomas Mandl 001 (ACM Journal on Computing and Cultural Heritage, 2024)