Tae-Min Choi

According to our database, Tae-Min Choi authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.

Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm

CoRR, July, 2025

2024

RoSIS: Robust Framework for Text-Promptable Surgical Instrument Segmentation Using Vision-Language Fusion.

Tae-Min Choi, Juyoun Park

CoRR, 2024

Event-Specific EEG-FNIRS Feature Fusion FOR Alzheimer's Disease Classification.

Sung-Hyeon Kim, Tae-Min Choi, Sun-Kyung Lee, Minhee Kim, Jae Gwan Kim, Jong-Hwan Kim

Proceedings of the IEEE International Conference on Image Processing, 2024

Textual Attention RPN for Open-Vocabulary Object Detection.

Tae-Min Choi, Inug Yoon, Jong-Hwan Kim, Juyoun Park

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning.

Inug Yoon, Tae-Min Choi, Sun-Kyung Lee, Young-Min Kim, Jong-Hwan Kim

CoRR, 2023

Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning.

Inug Yoon, Tae-Min Choi, Young-Min Kim, Jong-Hwan Kim

CoRR, 2023

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data.

Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim

IEEE Access, 2023

FastSwap: A Lightweight One-Stage Framework for Real-Time Face Swapping.

Sahng-Min Yoo, Tae-Min Choi, Jae-Woo Choi, Jong-Hwan Kim

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

Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach.

Tae-Min Choi, Jong-Hwan Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2023