Eunji Kim

Orcid: 0000-0001-5484-803X

Affiliations:
  • Seoul National University, Department of Electrical and Computer Engineering, Seoul, South Korea


According to our database1, Eunji Kim authored at least 20 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models.
CoRR, February, 2025

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens.
CoRR, 2024

Interpretable Language Modeling via Induction-head Ngram Models.
CoRR, 2024

Unlocking Intrinsic Fairness in Stable Diffusion.
CoRR, 2024

Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Improving Visual Prompt Tuning for Self-supervised Vision Transformers.
Proceedings of the International Conference on Machine Learning, 2023

Probabilistic Concept Bottleneck Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards High Generalization Performance on Electrocardiogram Classification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Information-Theoretic Visual Explanation for Black-Box Classifiers.
CoRR, 2020

Interpretation of NLP models through input marginalization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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