Taeho Kil

According to our database, Taeho Kil authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities.

Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models.

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

CoRR, 2023

SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap.

Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models.

Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Unified Scene Text Spotting Based on Sequence Generation.

Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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, Bado Lee, Youngmin Baek

CoRR, 2022