Tae-Min Choi

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Incremental Learning

Data Imputation

Top Venues

Publications

Sahng-Min Yoo, Tae-Min Choi, Jae-Woo Choi, Jong-Hwan Kim
FastSwap: A Lightweight One-Stage Framework for Real-Time Face Swapping. WACV (2023)
Tae-Min Choi, Jong-Hwan Kim
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach. ICRA (2023)
Tae-Min Choi, Jong-Hwan Kim
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach. CoRR (2023)
Inug Yoon, Tae-Min Choi, Young-Min Kim, Jong-Hwan Kim
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning. CoRR (2023)
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data. IEEE Access 11 (2023)
Inug Yoon, Tae-Min Choi, Sun-Kyung Lee, Young-Min Kim, Jong-Hwan Kim
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning. CoRR (2023)
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data. CoRR (2020)