Youngjoon Yu

Orcid: 0000-0002-3188-2080

According to our database1, Youngjoon Yu authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Advancing Adversarial Training by Injecting Booster Signal.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Like it, buy it? Examining the role of bookmarking in the mediation of visual appeal and purchase intent from a dual-system perspective.
Ind. Manag. Data Syst., 2024

SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models.
CoRR, 2024

MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection.
CoRR, 2024

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Defending Person Detection Against Adversarial Patch Attack by Using Universal Defensive Frame.
IEEE Trans. Image Process., 2022

Meta Input: How to Leverage Off-the-Shelf Deep Neural Networks.
CoRR, 2022

Defending Against Person Hiding Adversarial Patch Attack with a Universal White Frame.
CoRR, 2022

Defending Physical Adversarial Attack on Object Detection via Adversarial Patch-Feature Energy.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Robust Decision-Based Black-Box Adversarial Attack via Coarse-To-Fine Random Search.
Proceedings of the 2021 IEEE International Conference on Image Processing, 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
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning.
CoRR, 2020


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