Tae-Min Choi

According to our database, Tae-Min Choi authored at least 5 papers in 2023.

Collaborative distances:

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

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