Su Been Lee

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Semantic Segmentation

Top Venues

Publications

Suho Park, Su Been Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo
Task-Disruptive Background Suppression for Few-Shot Segmentation. AAAI (2024)
Hyun Seok Seong, WonJun Moon, Su Been Lee, Jae-Pil Heo
Leveraging Hidden Positives for Unsupervised Semantic Segmentation. CoRR (2023)
Su Been Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification. CoRR (2023)
WonJun Moon, Sangeek Hyun, Su Been Lee, Jae-Pil Heo
Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding. CoRR (2023)
Hyun Seok Seong, WonJun Moon, Su Been Lee, Jae-Pil Heo
Leveraging Hidden Positives for Unsupervised Semantic Segmentation. CVPR (2023)
Suho Park, Su Been Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo
Task-Disruptive Background Suppression for Few-Shot Segmentation. CoRR (2023)
Su Been Lee, WonJun Moon, Jae-Pil Heo
Task Discrepancy Maximization for Fine-grained Few-Shot Classification. CoRR (2022)
John Laurentiev, Mufaddal Mahesri, Lily Bessette, Cassandra York, Heidi Zakoul, Su Been Lee, Dae Hyun Kim, Li Zhou, Joshua Lin
Evaluation of a Machine Learning Approach to Identify ADL Impairment in Clinical Notes of People with Dementia. AMIA (2022)
Su Been Lee, WonJun Moon, Jae-Pil Heo
Task Discrepancy Maximization for Fine-grained Few-Shot Classification. CVPR (2022)
Su Been Lee, Jun Ho Park, Ji Young Kim, Seung Yeol Lee, Jae-Pil Heo
Regularization with Multiple Feature Combination for Few-Shot Learning. BigComp (2021)