Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach. - Tae-Min Choi; Jong-Hwan Kim 001 (ICRA, 2023)

FastSwap: A Lightweight One-Stage Framework for Real-Time Face Swapping. - Sahng-Min Yoo; Tae-Min Choi; Jae-Woo Choi; Jong-Hwan Kim 001 (WACV, 2023)

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data. - Tae-Min Choi; Ji-Su Kang; Jong-Hwan Kim 001 (IEEE Access, 2023)

Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning. - Inug Yoon; Tae-Min Choi; Young-Min Kim; Jong-Hwan Kim 001 (CoRR, 2023)

Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning. - Inug Yoon; Tae-Min Choi; Sun-Kyung Lee 001; Young-Min Kim; Jong-Hwan Kim 001 (CoRR, 2023)

Textual Attention RPN for Open-Vocabulary Object Detection. - Tae-Min Choi; Inug Yoon; Jong-Hwan Kim 001; Juyoun Park (BMVC, 2024)

Event-Specific EEG-FNIRS Feature Fusion FOR Alzheimer's Disease Classification. - Sung-Hyeon Kim; Tae-Min Choi; Sun-Kyung Lee 001; Minhee Kim; Jae Gwan Kim; Jong-Hwan Kim 001 (ICIP, 2024)

RoSIS: Robust Framework for Text-Promptable Surgical Instrument Segmentation Using Vision-Language Fusion. - Tae-Min Choi; Juyoun Park (CoRR, 2024)

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; et al. (CoRR, 2025)