Kim, Suhyun

20 publications

ICCV 2025 Adversarial Purification via Super-Resolution and Diffusion Mincheol Park, Cheonjun Park, Seungseop Lim, Mijin Koo, Hyunwuk Lee, Won Woo Ro, Suhyun Kim
AAAI 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
CVPR 2025 Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation Hyunsoo Kim, Donghyun Kim, Suhyun Kim
ICML 2025 ELITE: Enhanced Language-Image Toxicity Evaluation for Safety Wonjun Lee, Doehyeon Lee, Eugene Choi, Sangyoon Yu, Ashkan Yousefpour, Haon Park, Bumsub Ham, Suhyun Kim
AAAI 2025 Maximizing the Position Embedding for Vision Transformers with Global Average Pooling Wonjun Lee, Bumsub Ham, Suhyun Kim
NeurIPS 2025 Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality Mincheol Park, Heeji Won, Won Woo Ro, Suhyun Kim
AAAI 2025 Salient Frequency-Aware Exemplar Compression for Resource-Constrained Online Continual Learning Junsu Kim, Suhyun Kim
NeurIPS 2025 Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
ICCV 2025 WINS: Winograd Structured Pruning for Fast Winograd Convolution Cheonjun Park, Hyun Jae Oh, Mincheol Park, Hyunchan Moon, Minsik Kim, Suhyun Kim, Myung Kuk Yoon, Won Woo Ro
ICML 2025 When Model Knowledge Meets Diffusion Model: Diffusion-Assisted Data-Free Image Synthesis with Alignment of Domain and Class Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim
AAAI 2024 Catch-up Mix: Catch-up Class for Struggling Filters in CNN Minsoo Kang, Minkoo Kang, Suhyun Kim
NeurIPS 2024 DEPrune: Depth-Wise Separable Convolution Pruning for Maximizing GPU Parallelism Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro
AAAI 2024 REPrune: Channel Pruning via Kernel Representative Selection Mincheol Park, Dongjin Kim, Cheonjun Park, Yuna Park, Gyeong Eun Gong, Won Woo Ro, Suhyun Kim
AAAI 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro
ICLR 2023 DepthFL : Depthwise Federated Learning for Heterogeneous Clients Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon
AAAI 2023 GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps Minsoo Kang, Suhyun Kim
ICCV 2023 Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models Dogyun Park, Suhyun Kim
NeurIPS 2023 Tanh Works Better with Asymmetry Dongjin Kim, Woojeong Kim, Suhyun Kim
AAAI 2022 NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim
NeurIPS 2020 Neuron Merging: Compensating for Pruned Neurons Woojeong Kim, Suhyun Kim, Mincheol Park, Geunseok Jeon