Jung Uk Kim

Orcid: 0000-0003-4533-4875

According to our database1, Jung Uk Kim authored at least 54 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation.
CoRR, April, 2026

Generate, Analyze, and Refine: Training-Free Sound Source Localization via MLLM Meta-Reasoning.
CoRR, April, 2026

MonoSAOD: Monocular 3D Object Detection with Sparsely Annotated Label.
CoRR, April, 2026

SSMPD: Semi-Supervised Learning for Multispectral Pedestrian Detection.
IEEE Trans. Multim., 2026

Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation.
Medical Image Anal., 2026

Leveraging Textual Compositional Reasoning for Robust Change Captioning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

See, Rank, and Filter: Important Word-Aware Clip Filtering via Scene Understanding for Moment Retrieval and Highlight Detection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting.
CoRR, August, 2025

Spatial Mask-Based Adaptive Robust Training for Video Object Segmentation With Noisy Labels.
IEEE Trans. Circuits Syst. Video Technol., May, 2025

Enabling Visual Object Detection With Object Sounds via Visual Modality Recalling Memory.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Unified link prediction modeling for enhanced knowledge graph completion task.
Expert Syst. Appl., 2025

TECIS: Text-Enhanced Cross-Modal Instrument Segmentation in Surgical Video.
Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

Object-aware Sound Source Localization via Audio-Visual Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multispectral Pedestrian Detection with Sparsely Annotated Label.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Robust Airway Generation Labeling With Airway Segmentation for Reliable Airway Assessment.
IEEE Access, 2024

Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models.
Proceedings of the International Conference on Machine Learning and Applications, 2024

Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality.
Proceedings of the Computer Vision - ECCV 2024, 2024

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection.
IEEE Trans. Image Process., 2023

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.
CoRR, 2023

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR, 2023

Audio-Visual Spatial Integration and Recursive Attention for Robust Sound Source Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping.
Proceedings of the IEEE International Conference on Image Processing, 2023

Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Similarity Relation Preserving Cross-Modal Learning for Multispectral Pedestrian Detection Against Adversarial Attacks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Robust Audio-Based Vehicle Detection Via Importance-Aware Audio-Visual Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Robust Thermal Infrared Pedestrian Detection By Associating Visible Pedestrian Knowledge.
Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Robust Multispectral Pedestrian Detection via Uncertainty-Aware Cross-Modal Learning.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning.
CoRR, 2020

Towards Human-Like Interpretable Object Detection Via Spatial Relation Encoding.
Proceedings of the IEEE International Conference on Image Processing, 2020

Revisiting Role of Autoencoders in Adversarial Settings.
Proceedings of the IEEE International Conference on Image Processing, 2020

Class Incremental Learning With Task-Selection.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Style Correlation for Elaborate Few-Shot Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Comprehensive Facial Expression Synthesis Using Human-Interpretable Language.
Proceedings of the IEEE International Conference on Image Processing, 2020

Fake Video Detection With Certainty-Based Attention Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Attentive Layer Separation for Object Classification and Object Localization in Object Detection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Object Bounding Box-Critic Networks for Occlusion-Robust Object Detection in Road Scene.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Iterative deep convolutional encoder-decoder network for medical image segmentation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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