Publications (International)

2024

Learning to Localize Sound Sources from Mixtures without Prior Source Knowledge


Dongjin Kim1, Sung Jin Um1, Sangmin Lee*, and Jung Uk Kim* (1Equally contributed, *Co-corresponding)IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2024 (Accepted)

Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning


Kyu Ri Park*, Youngmin Oh*, and Jung Uk Kim (*Both authors equally contributed)IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 (Accepted)

2023

Enabling Visual Object Detection with Object Sounds via Visual Modality Recalling Memory


Jung Uk Kim and Yong Man RoIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 (IF: 10.4) [pdf]

Audio-Visual Spatial Integration and Recursive Attention for Robust Sound Source Localization


Sung Jin Um*, Dongjin Kim*, and Jung Uk Kim (*Both authors equally contributed)ACM Multimedia (ACM MM), 2023 (Acceptance rate : 24.6%) [pdf]

Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning


Jun Yeong Moon, KeonHee Park, Jung Uk Kim*, and Gyeong-Moon Park* (*Co-corresponding)IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (Acceptance rate : 26.2%) [pdf]

Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection


Jung Uk Kim, Kim Hyung-Il, and Yong Man RoIEEE Transactions on Image Processing (TIP), 2023 (IF: 10.6) [pdf]

Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping


Sungjune Park, Jung Uk Kim, Jin Mo Song, and Yong Man RoIEEE International Conference on Image Processing (ICIP), 2023 [pdf]

Towards Robust Audio-Based Vehicle Detection via Importance-Aware Audio-Visual Learning


Jung Uk Kim and Seong Tae KimIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [pdf]

Similarity Relation Preserving Cross-Modal Learning for Multispectral Pedestrian Detection Against Adversarial Attacks


Jung Uk Kim and Yong Man RoIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [pdf]

2022

Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory


Jung Uk Kim, Sungjune Park, and Yong Man RoAssociation for the Advancement of Artificial Intelligence (AAAI), 2022 (Oral Presentation) (Acceptance rate : 4.9%) [pdf]

Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection


Jung Uk Kim, Sungjune Park, and Yong Man RoIEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 (IF: 8.4) [pdf]

Robust Thermal Infrared Pedestrian Detection by Associating Visible Pedestrian Knowledge


Sungjune Park*, Dae Hwi Choi*, Jung Uk Kim, and Yong Man Ro (*Both authors equally contributed)IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 [pdf]

2021

Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning


Jung Uk Kim*, Sungjune Park*, and Yong Man Ro (*Both authors equally contributed)IEEE/CVF International Conference on Computer Vision (ICCV), 2021 [pdf] (Acceptance rate : 25.9%)

CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection


Jung Uk Kim, Seong Tae Kim, Hong Joo Lee, Sangmin Lee, and Yong Man RoIEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 (IF: 8.4) [pdf]

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, and Yong Man RoIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 [pdf]

2020

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, and Yong Man RoEuropean Conference on Computer Vision (ECCV), 2020 [pdf] (Acceptance rate : 27.1%)

Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary


Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, and Yong Man RoIEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2020 [pdf] (Acceptance rate : 22.1%)

BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection


Jung Uk Kim, Jungsu Kwon, Hak Gu Kim, and Yong Man RoIEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020 (IF: 8.4) [pdf]

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, and Yong Man RoIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 [pdf]

Towards Human-Like Interpretable Object Detection via Spatial Relation Encoding


Jung Uk Kim*, Sungjune Park*, and Yong Man Ro (*Both authors equally contributed)IEEE International Conference on Image Processing (ICIP), 2020 [pdf]

Class Incremental Learning with Task-Selection


Eun Sung Kim*, Jung Uk Kim*, Sangmin Lee, Sang-Keun Moon, and Yong Man Ro (*Both authors equally contributed)IEEE International Conference on Image Processing (ICIP), 2020 [pdf]

Comprehensive Facial Expression Synthesis using Human-Interpretable Language


Joanna Hong, Jung Uk Kim, Sangmin Lee, and Yong Man RoIEEE International Conference on Image Processing (ICIP), 2020 [pdf]

Fake Video Detection With Certainty-Based Attention Network


Dae Hwi Choi, Hong Joo Lee, Sangmin Lee, Jung Uk Kim, and Yong Man RoIEEE International Conference on Image Processing (ICIP), 2020 [pdf]

2019

Attentive Layer Separation for Object Classification and Object Localization in Object Detection


Jung Uk Kim and Yong Man RoIEEE International Conference on Image Processing (ICIP), 2019 [pdf]

2018

Object Bounding-Box-Critic Networks for Occlusion Robust Object Detection in Road Scene


Jung Uk Kim*, Jungsu Kwon*, Hak Gu Kim, Haesung Lee, and Yong Man Ro (*Both authors equally contributed)IEEE International Conference on Image Processing (ICIP), 2018 [pdf]

2017

Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network


Jung Uk Kim, Hak Gu Kim, and Yong Man RoACM Multimedia (ACM MM) Workshop, 2017 [pdf]

Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation


Jung Uk Kim, Hak Gu Kim, and Yong Man RoInternational Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017 [pdf]

Object Tracking based on Weight Sharing CNN Structure According to Search Area Setting Method Considering Object Movement

Jung Uk Kim, Hak Gu Kim, and Yong Man RoJournal of Korea Multimedia Society, 2017