Lee, Seunghyun

12 publications

TMLR 2025 CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin

ICCV 2025 Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-Level 6d Pose Estimation Seunghyun Lee, Tae-Kyun Kim

NeurIPS 2024 SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for SoftMax Operation Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung

NeurIPS 2023 Addressing Negative Transfer in Diffusion Models Hyojun Go, Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi

ICCV 2023 The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim

CVPR 2023 Towards Practical Plug-and-Play Diffusion Models Hyojun Go, Yunsung Lee, Jin-Young Kim, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi

WACV 2022 Contextual Gradient Scaling for Few-Shot Learning Sanghyuk Lee, Seunghyun Lee, Byung Cheol Song

ECCV 2022 Ensemble Knowledge Guided Sub-Network Search and Fine-Tuning for Filter Pruning Seunghyun Lee, Byung Cheol Song

AAAI 2021 Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network Seunghyun Lee, Byung Cheol Song

CoRL 2021 Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin

ICML 2020 Context-Aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin

ECCVW 2020 EPrOD: Evolved Probabilistic Object Detector with Diverse Samples Jaewoong Choi, Sungwook Lee, Seunghyun Lee, Byung Cheol Song