1. Eri Onami, Taiki Miyanishi, Koki Maeda, and Shuhei Kurita. 2025 LegalViz: Legal Text Visualization by Text To Diagram Generation. NAACL 2025.
2. Koki Maeda*, Tosho Hirasawa*, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, and Yoshitaka Ushiku. 2024 COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark. ECCV 2024.
3. Koki Maeda, Shuhei Kurita, Taiki Miyanishi, and Naoaki Okazaki. 2023 Query-based Image Captioning from Multi-context 360cdegree Images. EMNLP 2023.
4. Taku Hasegawa, Kyosuke Nishida, Koki Maeda, and Kuniko Saito. 2023 DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. EMNLP 2023.
5. Koki Maeda, Masahiro Kaneko, and Naoaki Okazaki. 2022 IMPARA: Impact-Based Metric for GEC Using Parallel Data. COLING 2022.
Research Experience
Doctoral student at Tokyo Tech, Okazaki Lab; Research Assistant at NII (National Institute of Informatics).
Education
First year of Ph.D. course at Tokyo Institute of Technology, advised by Prof. Naoaki Okazaki.
Background
Ph.D. student at Tokyo Institute of Technology, research interests include vision and language, scene understanding, and evaluation methods. The goal is to develop robust evaluation metrics and methodologies to assess the performance of natural language processing and computer vision models in various real-world scenarios.