Younghwan Lee

According to our database, Younghwan Lee authored at least 10 papers between 2002 and 2025.

Collaborative distances:

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

2025

PLT: Part-Wise Latent Tokens as Adaptable Motion Priors for Physically Simulated Characters.

Jinseok Bae, Younghwan Lee, Donggeun Lim, Young Min Kim

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling.

Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models.

Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo

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

FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields.

Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo

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

Occlusion-Robust Stylization for Drawing-Based 3D Animation.

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning.

Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation.

Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Weakly Supervised Image Segmentation for Detecting Defects From Scanning Electron Microscopy Images in Semiconductor.

Younghwan Lee, Seoung Bum Kim

IEEE Access, 2024

TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation.

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang Dong Yoo

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

2002

Diversity analysis for QAM in Nakagami fading channels.

Dongweon Yoon, Younghwan Lee, Changho Bae, Kyongkuk Cho, Pyeongdong Cho

Proceedings of the 13th IEEE International Symposium on Personal, 2002