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Kyungmin Lee
Kyungmin Lee
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Improving diffusion models for authentic virtual try-on in the wild
Y Choi, S Kwak, K Lee, H Choi, J Shin
European Conference on Computer Vision, 206-235, 2024
1392024
Discovering and mitigating visual biases through keyword explanation
Y Kim, S Mo, M Kim, K Lee, J Lee, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
80*2024
Stunt: Few-shot tabular learning with self-generated tasks from unlabeled tables
J Nam, J Tack, K Lee, H Lee, J Shin
arXiv preprint arXiv:2303.00918, 2023
622023
Collaborative score distillation for consistent visual synthesis
S Kim, K Lee, JS Choi, J Jeong, K Sohn, J Shin
arXiv preprint arXiv:2307.04787, 2023
53*2023
S-clip: Semi-supervised vision-language learning using few specialist captions
S Mo, M Kim, K Lee, J Shin
Advances in Neural Information Processing Systems 36, 61187-61212, 2023
382023
Dreamflow: High-quality text-to-3d generation by approximating probability flow
K Lee, K Sohn, J Shin
arXiv preprint arXiv:2403.14966, 2024
262024
Rényicl: Contrastive representation learning with skew rényi divergence
K Lee, J Shin
Advances in Neural Information Processing Systems 35, 6463-6477, 2022
262022
Direct consistency optimization for robust customization of text-to-image diffusion models
K Lee, S Kwak, K Sohn, J Shin
Advances in neural information processing systems 37, 103269-103304, 2024
24*2024
Synthesizing differentially private datasets using random mixing
K Lee, H Kim, K Lee, C Suh, K Ramchandran
2019 IEEE International Symposium on Information Theory (ISIT), 542-546, 2019
232019
Calibrated multi-preference optimization for aligning diffusion models
K Lee, X Li, Q Wang, J He, J Ke, MH Yang, I Essa, J Shin, F Yang, Y Li
Proceedings of the Computer Vision and Pattern Recognition Conference, 18465 …, 2025
202025
Diffusionguard: A robust defense against malicious diffusion-based image editing
JS Choi, K Lee, J Jeong, S Xie, J Shin, K Lee
arXiv preprint arXiv:2410.05694, 2024
152024
Provable Defense by Denoised Smoothing with Learned Score function
K Lee
ICLR 2021 Workshop Security and Safety in Machine Learning Systems, 2021
132021
Adversarial training on joint energy based model for robust classification and out-of-distribution detection
K Lee, H Yang, SY Oh
2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020
132020
Prototypical contrastive predictive coding
K Lee
International Conference on Learning Representations, 2022
112022
Pseudo-spherical Knowledge Distillation
K Lee, H Lee
IJCAI-ECAI 2022, 2022
62022
Fine-tuning protein language models by ranking protein fitness
M Lee, K Lee, J Shin
NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023
52023
Sgd on random mixtures: Private machine learning under data breach threats
K Lee, K Lee, H Kim, C Suh, K Ramchandran
42018
Dual-stream diffusion for world-model augmented vision-language-action model
J Won, K Lee, H Jang, D Kim, J Shin
arXiv preprint arXiv:2510.27607, 2025
32025
GCISG: Guided causal invariant learning for improved syn-to-real generalization
G Nam, G Choi, K Lee
European Conference on Computer Vision, 656-672, 2022
32022
Decoupled meanflow: Turning flow models into flow maps for accelerated sampling
K Lee, S Yu, J Shin
arXiv preprint arXiv:2510.24474, 2025
22025
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Articles 1–20