Iterative deep convolutional encoder-decoder network for medical image segmentation. - Jung Uk Kim; Hak Gu Kim; Yong Man Ro (EMBC, 2017)

Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network. - Jung Uk Kim; Hak Gu Kim; Yong Man Ro (ACM Multimedia (Thematic Workshops), 2017)

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 (ICIP, 2018)

Attentive Layer Separation for Object Classification and Object Localization in Object Detection. - Jung Uk Kim; Yong Man Ro (ICIP, 2019)

Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary. - Hong Joo Lee 001; Jung Uk Kim; Sangmin Lee 001; Hak Gu Kim; Yong Man Ro (CVPR, 2020)

SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding. - Sangmin Lee 001; Jung Uk Kim; Hak Gu Kim; Seongyeop Kim; Yong Man Ro (ECCV (23), 2020)

Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation. - Jung Uk Kim; Seong Tae Kim 001; Eun Sung Kim; Sang-Keun Moon; Yong Man Ro (ICASSP, 2020)

Fake Video Detection With Certainty-Based Attention Network. - Dae Hwi Choi; Hong Joo Lee 001; Sangmin Lee 001; Jung Uk Kim; Yong Man Ro (ICIP, 2020)

Comprehensive Facial Expression Synthesis Using Human-Interpretable Language. - Joanna Hong; Jung Uk Kim; Sangmin Lee 001; Yong Man Ro (ICIP, 2020)

Learning Style Correlation for Elaborate Few-Shot Classification. - Junho Kim; Minsu Kim 001; Jung Uk Kim; Hong Joo Lee 001; Sangmin Lee 001; Joanna Hong; Yong Man Ro (ICIP, 2020)

Class Incremental Learning With Task-Selection. - Eun Sung Kim; Jung Uk Kim; Sangmin Lee 001; Sang-Keun Moon; Yong Man Ro (ICIP, 2020)

Revisiting Role of Autoencoders in Adversarial Settings. - Byeong Cheon Kim; Jung Uk Kim; Hakmin Lee; Yong Man Ro (ICIP, 2020)

Towards Human-Like Interpretable Object Detection Via Spatial Relation Encoding. - Jung Uk Kim; Sungjune Park; Yong Man Ro (ICIP, 2020)

Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning. - Youngjoon Yu; Hong Joo Lee 001; Byeong Cheon Kim; Jung Uk Kim; Yong Man Ro (CoRR, 2020)

BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection. - Jung Uk Kim; Jungsu Kwon; Hak Gu Kim; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2020)

Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation. - Youngjoon Yu; Hong Joo Lee 001; Byeong Cheon Kim; Jung Uk Kim; Yong Man Ro (ICASSP, 2021)

Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning. - Jung Uk Kim; Sungjune Park; Yong Man Ro (ICCV, 2021)

Robust Multispectral Pedestrian Detection via Uncertainty-Aware Cross-Modal Learning. - Sungjune Park; Jung Uk Kim; Yeongyun Kim; Sang-Keun Moon; Yong Man Ro (MMM (1), 2021)

CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection. - Jung Uk Kim; Seong-Tae Kim 001; Hong Joo Lee 001; Sangmin Lee 001; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2021)

Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory. - Jung Uk Kim; Sungjune Park; Yong Man Ro (AAAI, 2022)

Robust Thermal Infrared Pedestrian Detection By Associating Visible Pedestrian Knowledge. - Sungjune Park; Dae Hwi Choi; Jung Uk Kim; Yong Man Ro (ICASSP, 2022)

Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection. - Jung Uk Kim; Sungjune Park; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2022)

Towards Robust Audio-Based Vehicle Detection Via Importance-Aware Audio-Visual Learning. - Jung Uk Kim; Seong Tae Kim 001 (ICASSP, 2023)

Similarity Relation Preserving Cross-Modal Learning for Multispectral Pedestrian Detection Against Adversarial Attacks. - Jung Uk Kim; Yong Man Ro (ICASSP, 2023)

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 (ICCV, 2023)

Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping. - Sungjune Park; Jung Uk Kim; Jin Mo Song; Yong Man Ro (ICIP, 2023)

Audio-Visual Spatial Integration and Recursive Attention for Robust Sound Source Localization. - Sung Jin Um; Dongjin Kim; Jung Uk Kim (ACM Multimedia, 2023)

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. - Chaoning Zhang; Chenshuang Zhang; Chenghao Li; Yu Qiao 004; Sheng Zheng; Sumit Kumar Dam; Mengchun Zhang; Jung Uk Kim; Seong Tae Kim 001; Jinwoo Choi 001; Gyeong-Moon Park; Sung-Ho Bae; et al. (CoRR, 2023)

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. - Chaoning Zhang; Dongsheng Han; Yu Qiao 004; Jung Uk Kim; Sung-Ho Bae; Seungkyu Lee; Choong Seon Hong (CoRR, 2023)

Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection. - Jung Uk Kim; Hyung-Il Kim; Yong Man Ro (IEEE Trans. Image Process., 2023)

Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge. - Dongjin Kim; Sung Jin Um; Sangmin Lee 001; Jung Uk Kim (CVPR, 2024)

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models. - Jun-Yeong Moon; Jung Uk Kim; Gyeong-Moon Park (ECCV (29), 2024)

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. - Youngmin Oh; Hyung-Il Kim; Seong Tae Kim 001; Jung Uk Kim (ECCV (10), 2024)

Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality. - Kyu Ri Park; Hong Joo Lee 001; Jung Uk Kim (ECCV (15), 2024)

Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning. - Kyu Ri Park; Youngmin Oh; Jung Uk Kim (ICASSP, 2024)

Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models. - Musarrat Hussain; Ubaid Ur Rehman 002; Tri D. T. Nguyen; Sungyoung Lee 001; Seong Tae Kim 001; Sung-Ho Bae; Jung Uk Kim (ICMLA, 2024)

Robust Airway Generation Labeling With Airway Segmentation for Reliable Airway Assessment. - Mincheol Song; Jin An; Kyu Ri Park; Jeongmi Lee; Jinkyeong Park; Jung Uk Kim (IEEE Access, 2024)

Multispectral Pedestrian Detection with Sparsely Annotated Label. - Chan Lee; Seungho Shin; Gyeong-Moon Park; Jung Uk Kim (AAAI, 2025)

Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection. - Sung Jin Um; Dongjin Kim; Sangmin Lee 001; Jung Uk Kim (AAAI, 2025)

Object-aware Sound Source Localization via Audio-Visual Scene Understanding. - Sung Jin Um; Dongjin Kim; Sangmin Lee 001; Jung Uk Kim (CVPR, 2025)

Unified link prediction modeling for enhanced knowledge graph completion task. - Tri D. T. Nguyen; Ubaid Ur Rehman 002; Musarrat Hussain; Rao Faizan; Jamil Hussain; Sung-Ho Bae; Jung Uk Kim; Seong Tae Kim 001; Sungyoung Lee 001 (Expert Syst. Appl., 2025)

Enabling Visual Object Detection With Object Sounds via Visual Modality Recalling Memory. - Jung Uk Kim; Yong Man Ro (IEEE Trans. Neural Networks Learn. Syst., 2025)

Spatial Mask-Based Adaptive Robust Training for Video Object Segmentation With Noisy Labels. - Enki Cho; Jung Uk Kim; Seong Tae Kim 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)