| 2026 | AAAI | Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation. | Taeyeong Kim, SeungJoon Lee, Jung Uk Kim, MyeongAh Cho |
| 2026 | AAAI | See, Rank, and Filter: Important Word-Aware Clip Filtering via Scene Understanding for Moment Retrieval and Highlight Detection. | YuEun Lee, Jung Uk Kim |
| 2026 | AAAI | Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data. | Youngmin Oh, Hyung-Il Kim, Jung Uk Kim |
| 2026 | AAAI | Leveraging Textual Compositional Reasoning for Robust Change Captioning. | Kyu Ri Park, Jiyoung Park, Seong Tae Kim, Hong Joo Lee, Jung Uk Kim |
| 2025 | AAAI | Multispectral Pedestrian Detection with Sparsely Annotated Label. | Chan Lee, Seungho Shin, Gyeong-Moon Park, Jung Uk Kim |
| 2025 | AAAI | Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection. | Sung Jin Um, Dongjin Kim, Sangmin Lee, Jung Uk Kim |
| 2025 | CVPR | Object-aware Sound Source Localization via Audio-Visual Scene Understanding. | Sung Jin Um, Dongjin Kim, Sangmin Lee, Jung Uk Kim |
| 2025 | ICIP | TECIS: Text-Enhanced Cross-Modal Instrument Segmentation in Surgical Video. | Hyeon Bae Kim, Eunki Cho, Jung Uk Kim, Seong Tae Kim |
| 2024 | CVPR | Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge. | Dongjin Kim, Sung Jin Um, Sangmin Lee, Jung Uk Kim |
| 2024 | ECCV | Towards Model-Agnostic Dataset Condensation by Heterogeneous Models. | Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park |
| 2024 | ECCV | MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. | Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim |
| 2024 | ECCV | Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality. | Kyu Ri Park, Hong Joo Lee, Jung Uk Kim |
| 2024 | ICASSP | Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning. | Kyu Ri Park, Youngmin Oh, Jung Uk Kim |
| 2024 | ICMLA | Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models. | Musarrat Hussain, Ubaid Ur Rehman, Tri D. T. Nguyen, Sungyoung Lee, Seong Tae Kim, Sung-Ho Bae, Jung Uk Kim |
| 2023 | ICASSP | Towards Robust Audio-Based Vehicle Detection Via Importance-Aware Audio-Visual Learning. | Jung Uk Kim, Seong Tae Kim |
| 2023 | ICASSP | Similarity Relation Preserving Cross-Modal Learning for Multispectral Pedestrian Detection Against Adversarial Attacks. | Jung Uk Kim, Yong Man Ro |
| 2023 | ICCV | Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning. | Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park |
| 2023 | ICIP | Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping. | Sungjune Park, Jung Uk Kim, Jin Mo Song, Yong Man Ro |
| 2022 | AAAI | Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory. | Jung Uk Kim, Sungjune Park, Yong Man Ro |
| 2022 | ICASSP | Robust Thermal Infrared Pedestrian Detection By Associating Visible Pedestrian Knowledge. | Sungjune Park, Dae Hwi Choi, Jung Uk Kim, Yong Man Ro |
| 2021 | ICASSP | Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation. | Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, Yong Man Ro |
| 2021 | ICCV | Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning. | Jung Uk Kim, Sungjune Park, Yong Man Ro |
| 2021 | MMM | Robust Multispectral Pedestrian Detection via Uncertainty-Aware Cross-Modal Learning. | Sungjune Park, Jung Uk Kim, Yeongyun Kim, Sang-Keun Moon, Yong Man Ro |
| 2020 | CVPR | Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary. | Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, Yong Man Ro |
| 2020 | ECCV | SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding. | Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro |
| 2020 | ICASSP | Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation. | Jung Uk Kim, Seong Tae Kim, Eun Sung Kim, Sang-Keun Moon, Yong Man Ro |
| 2020 | ICIP | Fake Video Detection With Certainty-Based Attention Network. | Dae Hwi Choi, Hong Joo Lee, Sangmin Lee, Jung Uk Kim, Yong Man Ro |
| 2020 | ICIP | Comprehensive Facial Expression Synthesis Using Human-Interpretable Language. | Joanna Hong, Jung Uk Kim, Sangmin Lee, Yong Man Ro |
| 2020 | ICIP | Learning Style Correlation for Elaborate Few-Shot Classification. | Junho Kim, Minsu Kim, Jung Uk Kim, Hong Joo Lee, Sangmin Lee, Joanna Hong, Yong Man Ro |
| 2020 | ICIP | Class Incremental Learning With Task-Selection. | Eun Sung Kim, Jung Uk Kim, Sangmin Lee, Sang-Keun Moon, Yong Man Ro |
| 2020 | ICIP | Revisiting Role of Autoencoders in Adversarial Settings. | Byeong Cheon Kim, Jung Uk Kim, Hakmin Lee, Yong Man Ro |
| 2020 | ICIP | Towards Human-Like Interpretable Object Detection Via Spatial Relation Encoding. | Jung Uk Kim, Sungjune Park, Yong Man Ro |
| 2019 | ICIP | Attentive Layer Separation for Object Classification and Object Localization in Object Detection. | Jung Uk Kim, Yong Man Ro |
| 2018 | ICIP | Object Bounding Box-Critic Networks for Occlusion-Robust Object Detection in Road Scene. | Jung Uk Kim, Jungsu Kwon, Hak Gu Kim, Haesung Lee, Yong Man Ro |