WonJun Moon

According to our database, WonJun Moon authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval.

Cheol-Ho Cho, WonJun Moon, Woojin Jun, MinSeok Jung, Jae-Pil Heo

CoRR, June, 2025

Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval.

WonJun Moon, Cheol-Ho Cho, Woojin Jun, Minho Shim, Taeoh Kim, Inwoong Lee, Dongyoon Wee, Jae-Pil Heo

CoRR, April, 2025

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

SuBeen Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Temporal Alignment-Free Video Matching for Few-shot Action Recognition.

SuBeen Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval.

Woojin Jun, WonJun Moon, Cheol-Ho Cho, Minseok Jung, Jae-Pil Heo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval.

Cheol-Ho Cho, WonJun Moon, Woojin Jun, Minseok Jung, Jae-Pil Heo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation.

Hyun Seok Seong, WonJun Moon, SuBeen Lee, Jae-Pil Heo

Proceedings of the Computer Vision - ECCV 2024, 2024

Mitigating Background Shift in Class-Incremental Semantic Segmentation.

Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, Jae-Pil Heo

Proceedings of the Computer Vision - ECCV 2024, 2024

VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting.

Seunggu Kang, WonJun Moon, Euiyeon Kim, 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

Query - Dependent Video Representation for Moment Retrieval and Highlight Detection.

WonJun Moon, Sangeek Hyun, Sanguk Park, Dongchan Park, Jae-Pil Heo

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

Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition.

WonJun Moon, Hyun Seok Seong, Jae-Pil Heo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Difficulty-Aware Simulator for Open Set Recognition.

WonJun Moon, Jun Ho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo

Proceedings of the Computer Vision - ECCV 2022, 2022

Tailoring Self-Supervision for Supervised Learning.

WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo

Proceedings of the Computer Vision - ECCV 2022, 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