In-Jae Yu

Orcid: 0000-0001-9865-2194

According to our database¹, In-Jae Yu authored at least 24 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Sanghyun Jo

In-Jae Yu

Kyungsu Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms.

[BibT_eX]

[DOI]

IEEE Multim., 2022

RecurSeed and CertainMix for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Sang Hyun Jo

In-Jae Yu

Kyung-Su Kim

CoRR, 2022

2021

Deep Convolutional Neural Network for Identifying Seam-Carving Forgery.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Dual-path convolutional neural network for classifying fine-grained manipulations in H.264 videos.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN.

[BibT_eX]

[DOI]

CoRR, 2021

Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features.

[BibT_eX]

[DOI]

CoRR, 2021

CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Puzzle-CAM: Improved Localization Via Matching Partial And Full Features.

[BibT_eX]

[DOI]

Sanghyun Jo

In-Jae Yu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

WAN: Watermarking Attack Network.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

WAN: Watermarking Attack Network.

[BibT_eX]

[DOI]

CoRR, 2020

BitMix: Data Augmentation for Image Steganalysis.

[BibT_eX]

[DOI]

CoRR, 2020

Manipulation Classification for JPEG Images Using Multi-Domain Features.

[BibT_eX]

[DOI]

IEEE Access, 2020

NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images.

[BibT_eX]

[DOI]

IEEE Access, 2020

Local-Source Enhanced Residual Network for Steganalysis of Digital Images.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Two-Stream Network for Detecting Double Compression of H.264 Videos.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Content-Aware Image Resizing Detection Using Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Paired mini-batch training: A new deep network training for image forensics and steganalysis.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2018

2017

Robust 3D Mesh Watermarking Scheme for an Anti-Collusion Fingerprint Code.

[BibT_eX]

[DOI]

Proceedings of the Information Security Applications - 18th International Conference, 2017

Improved 3D Mesh Steganalysis Using Homogeneous Kernel Map.

[BibT_eX]

[DOI]

Proceedings of the Information Science and Applications 2017, 2017

Identifying photorealistic computer graphics using convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

In-Jae Yu

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