Lee, Seungjae

12 publications

NeurIPS 2025 Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy Inkook Chun, Seungjae Lee, Michael Samuel Albergo, Saining Xie, Eric Vanden-Eijnden

CoRL 2025 Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models Seungjae Lee, Daniel Ekpo, Haowen Liu, Furong Huang, Abhinav Shrivastava, Jia-Bin Huang

ICLRW 2025 Why Are Web AI Agents More Vulnerable than Standalone LLMs? a Security Analysis Jeffrey Yang Fan Chiang, Seungjae Lee, Jia-Bin Huang, Furong Huang, Yizheng Chen

ICML 2024 Behavior Generation with Latent Actions Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto

ICMLW 2024 Behavior Generation with Latent Actions Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto

CVPRW 2024 Reciprocal Attention Mixing Transformer for Lightweight Image Restoration Haram Choi, Cheolwoong Na, Jihyeon Oh, Seungjae Lee, Jinseop Kim, Subeen Choe, Jeongmin Lee, Taehoon Kim, Jihoon Yang

NeurIPS 2023 CQM: Curriculum Reinforcement Learning with a Quantized World Model Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim

NeurIPS 2023 Diversify \& Conquer: Outcome-Directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho, Seungjae Lee, H. Jin Kim

ICLR 2023 Outcome-Directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation Daesol Cho, Seungjae Lee, H. Jin Kim

CVPR 2023 Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping with Degradation Generator Nakkwan Choi, Seungjae Lee, Yongsik Lee, Seungjoon Yang

ICML 2023 SNeRL: Semantic-Aware Neural Radiance Fields for Reinforcement Learning Dongseok Shim, Seungjae Lee, H. Jin Kim

NeurIPS 2022 DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim