DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting. - Seonghyeon Kim; Seung Shin; Yoonsik Kim; Hancheol Cho; Taeho Kil; Jaeheung Surh; Seunghyun Park 001; Bado Lee; Youngmin Baek (CoRR, 2022)

Towards Unified Scene Text Spotting Based on Sequence Generation. - Taeho Kil; Seonghyeon Kim; Sukmin Seo; Yoonsik Kim; Daehee Kim (CVPR, 2023)

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (EMNLP, 2023)

SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. - Daehee Kim 003; Yoonsik Kim; Donghyun Kim 012; Yumin Lim; Geewook Kim; Taeho Kil (ICCV, 2023)

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (CoRR, 2023)

SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. - Hyunjong Ok; Taeho Kil; Sukmin Seo; Jaeho Lee 001 (NAACL-HLT, 2024)

Extract Free Dense Misalignment from CLIP. - JeongYeon Nam; Jinbae Im; Wonjae Kim; Taeho Kil (AAAI, 2025)