Saehyung Lee

According to our database, Saehyung Lee authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving Transferability in Image Classification through Refinement of Discriminative Features.

HyunGi Kim, Seungryong Yoo, Bong Gyun Kang, Saehyung Lee, Jaekoo Lee, Sungroh Yoon

IEEE Trans. Artif. Intell., May, 2026

2025

On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss.

Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon

Int. J. Comput. Vis., May, 2025

Regularizing Hard Examples Improves Adversarial Robustness.

Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon

J. Mach. Learn. Res., 2025

Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context.

Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage.

Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

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

Jaihyun Lew, Soohyuk Jang, Jaehoon Lee, Seungryong Yoo, Eunji Kim, Saehyung Lee, Jisoo Mok, Siwon Kim, Sungroh Yoon

CoRR, 2024

Textual Training for the Hassle-Free Removal of Unwanted Visual Data.

Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

CoRR, 2024

Gradient Alignment with Prototype Feature for Fully Test-time Adaptation.

Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection.

Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DAFA: Distance-Aware Fair Adversarial Training.

Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.

Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach.

Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training.

Saehyung Lee, Hyungyu Lee

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

On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.

Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Dataset Condensation with Contrastive Signals.

Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

2021

Removing Undesirable Feature Contributions Using Out-of-Distribution Data.

Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization.

Saehyung Lee, Hyungyu Lee, Sungroh Yoon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020