Park, Eunhyeok

22 publications

NeurIPS 2025 GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park

ICCV 2025 Grouped Speculative Decoding for Autoregressive Image Generation Junhyuk So, Juncheol Shin, Hyunho Kook, Eunhyeok Park

CVPR 2025 HOT: Hadamard-Based Optimized Training Seonggon Kim, Juncheol Shin, Seung-taek Woo, Eunhyeok Park

NeurIPS 2025 Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking Junhyuk So, Chiwoong Lee, Shinyoung Lee, Jungseul Ok, Eunhyeok Park

ICML 2025 Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park

CVPR 2025 PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models Junhyuk So, Jiwoong Shin, Chaeyeon Jang, Eunhyeok Park

WACV 2025 PTQ4VM: Post-Training Quantization for Visual Mamba Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park

ECCV 2024 FRDiff : Feature Reuse for Universal Training-Free Acceleration of Diffusion Models Junhyuk So, Jungwon Lee, Eunhyeok Park

AAAI 2024 OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park

ICCV 2023 INSTA-BNN: Binary Neural Network with INSTAnce-Aware Threshold Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim

CVPRW 2023 Multi-Scale Local Implicit Keypoint Descriptor for Keypoint Matching JongMin Lee, Eunhyeok Park, Sungjoo Yoo

CVPR 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization Juncheol Shin, Junhyuk So, Sein Park, Seungyeop Kang, Sungjoo Yoo, Eunhyeok Park

WACV 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim

NeurIPS 2023 Temporal Dynamic Quantization for Diffusion Models Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park

ECCV 2022 BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo

IJCAI 2022 Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han

ECCV 2022 Symmetry Regularization and Saturating Nonlinearity for Robust Quantization Sein Park, Yeongsang Jang, Eunhyeok Park

ICCV 2021 Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo

ECCV 2020 PROFIT: A Novel Training Method for Sub-4-Bit MobileNet Models Eunhyeok Park, Sungjoo Yoo

ECCV 2018 Value-Aware Quantization for Training and Inference of Neural Networks Eunhyeok Park, Sungjoo Yoo, Peter Vajda

CVPR 2017 Weighted-Entropy-Based Quantization for Deep Neural Networks Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo

ICLR 2016 Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin