WonJun Moon

Hello. I’m WonJun Moon, a postdoctoral researcher at KAIST, South Korea. I received my Ph.D. from Sungkyunkwan University under the supervision of Prof. Jae-Pil Heo. Currently, I am a member of the Computer Vision Lab advised by Prof. Seungryong Kim.

My research goal is to develop scalable multimodal embedding models and video understanding systems that bridge the gap between cutting-edge research and real-world deployment. My research focuses on video/image representation learning under multimodal ambiguity, temporal complexity, and limited supervision, with applications spanning retrieval, grounding, and segmentation. Most recently, I am dedicated to uncovering and enhancing the visual reasoning processes of Multimodal Large Language Models.

Publications

(* : equal contribution)

International

Compact Visual Representation / Efficiency (Object-Centric Representation Learning)   Embeddings & Text-Video Retrieval & Grounding   Semantic Segmentation & Tracking   Vision-Language Models & Multimodal   Robustness (Few-Shot & OOD & Long-tailed Recognition)

NeurIPS 2026	Jaewoo Jung, Hyeonseo Yu, Honggyu An, Jisang Han, Mungyeom Kim, Minkyeong Jeon, Heeseong Shin, WonJun Moon, Federico Tombari, Daniel Barath, Marc Pollefeys, Seungryong Kim, Sunghwan Hong	Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering [Arxiv] [Project]
NeurIPS 2026	Siyoon Jin*, Dahyun Chung*, Honggyu An, Sangbeom Lim, Wonjin Nam, Jaewoo Jung, WonJun Moon, Seungryong Kim	Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
ECCV 2026	WonJun Moon, Jae-Pil Heo	Selective Synergistic Learning for Video Object-Centric Learning [Arxiv] [Code] [Project]
CVPR 2026	WonJun Moon, Hyun Seok Seong, Jae-Pil Heo	Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning [Arxiv] [Code]
CVPR 2026	Yerim Jeon, Miso Lee, WonJun Moon, Jae-Pil Heo	Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding [Arxiv] [Code]
CVPR 2026	ByeongCheol Lee, Hyun Seok Seong, Sangeek Hyun, Gilhan Park, WonJun Moon, Jae-Pil Heo	Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation [Arxiv] [Code]
ICLR 2026	Hyun Seok Seong*, WonJun Moon*, Jae-Pil Heo	From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning [Arxiv] [Paper] [Code]
NeurIPS 2025	WonJun Moon*, MinSeok Jung*, Gilhan Park, Tae-Young Kim, Cheol-Ho Cho, Woojin Jun, Jae-Pil Heo	Mitigating Semantic Collapse in Partially Relevant Video Retrieval [Arxiv] [Paper] [Code]
ICCV 2025	WonJun Moon*, Hyun Seok Seong*, Jae-Pil Heo	Selective Contrastive Learning for Weakly Supervised Affordance Grounding [Arxiv] [Code]
ICCV 2025	WonJun Moon, Cheol-Ho Cho, Woojin Jun, Minho Shim, Taeoh Kim, Inwoong Lee, Dongyoon Wee, Jae-Pil Heo	Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval [Arxiv]
CVPR 2025 (oral)	SuBeen Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo	Temporal Alignment-Free Video Matching for Few-shot Action Recognition [Arxiv] [Paper] [Code]
AAAI 2025	Cheol-Ho Cho, WonJun Moon, Woojin Jun, MinSeok Jung, Jae-Pil Heo	Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval [Arxiv]
AAAI 2025	Woojin Jun, WonJun Moon, Cheol-Ho Cho, MinSeok Jung, Jae-Pil Heo	Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval [Paper]
TPAMI 2024	SuBeen Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo	Task-oriented channel attention for fine-grained few-shot classification [Arxiv] [Paper]
ECCV 2024	Hyun Seok Seong, WonJun Moon, SuBeen Lee, Jae-Pil Heo	Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation [Arxiv] [Code]
ECCV 2024	Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, Jae-Pil Heo	Mitigating Background Shift in Class-Incremental Semantic Segmentation [Arxiv] [Code]
Pattern Recognition 2025	WonJun Moon, Sangeek Hyun, SuBeen Lee, Jae-Pil Heo	Correlation-Guided Query-Dependency Calibration for Video Temporal Grounding [Arxiv] [Code]
AAAI 2024	Seunggu Kang, WonJun Moon, Euiyeon Kim, Jae-Pil Heo	VLCounter: Text-aware Visual Representation for Zero-Shot Object Counting [Arxiv] [Paper] [Code]
CVPR 2023	WonJun Moon*, Sangeek Hyun*, Sanguk Park, Dongchan Park, Jae-Pil Heo	Query-Dependent Video Representation for Moment Retrieval and Highlight Detection [Arxiv] [Paper] [Code] [Video]
CVPR 2023	Hyun Seok Seong, WonJun Moon, SuBeen Lee, Jae-Pil Heo	Leveraging Hidden Positives for Unsupervised Semantic Segmentation [Arxiv] [Paper] [Code]
AAAI 2023 (oral)	WonJun Moon, Hyun Seok Seong, Jae-Pil Heo	Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition [Arxiv] [Paper] [Code] [Video]
ECCV 2022	WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo	Tailoring Self-Supervision for Supervised Learning [Arxiv] [Paper] [Code] [Video]
ECCV 2022	WonJun Moon, Junho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo	Difficulty-Aware Simulator for Open Set Recognition [Arxiv] [Paper] [Code] [Video]
CVPR 2022 (oral)	SuBeen Lee, WonJun Moon, Jae-Pil Heo	Task Discrepancy Maximization for Fine-grained Few-Shot Classification [Arxiv] [Paper] [Code]

Domestic

KIISE 2022	Learning from Data Imbalance with Class Grouping Loss	WonJun Moon, Jae-Pil Heo
KIISE 2020	Mix-Contrastive Match	WonJun Moon, Jae-Pil Heo

Experience & Achievements

• Research Intern in Naver Cloud, hosted by Minho Shim (Oct. 2023 - Mar. 2024)
• 2023 President’s List, Sungkyunkwan University
• 18th Scholarship student of the Kwanjeong Educational Foundation

Reviewer

• Conference : CVPR, ICCV, ECCV, NeurIPS
• Journal : TPAMI

Education

• Ph.D. Dept of Artificial Intelligence, Sungkyunkwan University

• MS. Dept of Artificial Intelligence, Sungkyunkwan University
  GPA : 4.38 / 4.5

• Bs. Dept of Software, Sungkyunkwan University
  GPA : 4.42 / 4.5

• Language : Korean, English

Recent posts