Su Been Lee

According to our database, Su Been Lee authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Task-Disruptive Background Suppression for Few-Shot Segmentation.

Suho Park, Su Been Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding.

WonJun Moon, Sangeek Hyun, Su Been Lee, Jae-Pil Heo

CoRR, 2023

Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification.

Su Been Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo

CoRR, 2023

Leveraging Hidden Positives for Unsupervised Semantic Segmentation.

Hyun Seok Seong, WonJun Moon, Su Been Lee, Jae-Pil Heo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Task Discrepancy Maximization for Fine-grained Few-Shot Classification.

Su Been Lee, WonJun Moon, Jae-Pil Heo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Evaluation of a Machine Learning Approach to Identify ADL Impairment in Clinical Notes of People with Dementia.

John Laurentiev, Mufaddal Mahesri, Lily Bessette, Cassandra York, Heidi Zakoul, Su Been Lee, Dae Hyun Kim, Li Zhou, Joshua Lin

Proceedings of the AMIA 2022, 2022

2021

Regularization with Multiple Feature Combination for Few-Shot Learning.

Su Been Lee, Jun Ho Park, Ji Young Kim, Seung Yeol Lee, Jae-Pil Heo

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021