Saehyung Lee

28 papers A* 9A 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss.
Int. J. Comput. Vis.
Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
2025 J jnl
Regularizing Hard Examples Improves Adversarial Robustness.
J. Mach. Learn. Res.
Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon
2025 A* conf
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage.
ICML
Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon
2025 — conf
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context.
NAACL (Findings)
Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon
2025 A* conf
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models.
ICML
Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon
2024 A* conf
DAFA: Distance-Aware Fair Adversarial Training.
ICLR
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024 J jnl
DAFA: Distance-Aware Fair Adversarial Training.
CoRR
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024 A* conf
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.
ICLR
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024 J jnl
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.
CoRR
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024 J jnl
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation.
CoRR
Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon
2024 — conf
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach.
ACL (1)
Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon
2024 J jnl
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach.
CoRR
Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon
2024 J jnl
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss.
CoRR
Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
2024 J jnl
Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens.
CoRR
Jaihyun Lew, Soohyuk Jang, Jaehoon Lee, Seungryong Yoo, Eunji Kim, Saehyung Lee, Jisoo Mok, Siwon Kim, Sungroh Yoon
2024 J jnl
Textual Training for the Hassle-Free Removal of Unwanted Visual Data.
CoRR
Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2024 A* conf
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection.
NeurIPS
Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2024 J jnl
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage.
CoRR
Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon
2024 J jnl
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context.
CoRR
Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon
2023 A conf
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training.
WACV
Saehyung Lee, Hyungyu Lee
2023 A* conf
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.
NeurIPS
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2023 J jnl
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.
CoRR
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2022 A* conf
Dataset Condensation with Contrastive Signals.
ICML
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
2022 J jnl
Dataset Condensation with Contrastive Signals.
CoRR
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
2022 J jnl
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training.
CoRR
Saehyung Lee, Hyungyu Lee
2021 A* conf
Removing Undesirable Feature Contributions Using Out-of-Distribution Data.
ICLR
Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
2021 J jnl
Removing Undesirable Feature Contributions Using Out-of-Distribution Data.
CoRR
Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
2020 A* conf
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization.
CVPR
Saehyung Lee, Hyungyu Lee, Sungroh Yoon
2020 J jnl
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization.
CoRR
Saehyung Lee, Hyungyu Lee, Sungroh Yoon