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Eunhyeok Park

26 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

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Conferences

ECCV (5) CVPR (4) EMNLP (4) ICCV (4) WACV (4) AAAI (1) ACL (1) ICML (1) IJCAI (1) NIPS (1)

Top co-authors

Changhun Lee (8) Sungjoo Yoo (7) Junhyuk So (5) Jun-gyu Jin (4) Hyungjun Kim (4) JunCheol Shin (4) Seonggon Kim (3) YoungHyun Cho (3) Jungwon Lee (3) Minsang Seok (2)

Keywords

large language model (5) model quantization (4) model compression (4) weight quantization (3) binary neural network (2) diffusion model (2) image generation (2) representation learning (2) mixed-precision quantization (2) inference acceleration (2) deep neural network (2) efficient computing (2) neural network (2) parameter-efficient fine-tuning (2) quantization-aware training (2) post-training quantization (2) depth estimation (1) personalized generation (1) metric learning (1) attention mechanism (1)

Papers

Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient WACV 2026 DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026 PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP 2025 SEAL: Scaling to Emphasize Attention for Long-Context Retrieval ACL 2025 PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models CVPR 2025 HOT: Hadamard-based Optimized Training CVPR 2025 AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025 Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs EMNLP 2025 Grouped Speculative Decoding for Autoregressive Image Generation ICCV 2025 Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation ICML 2025 PTQ4VM: Post-Training Quantization for Visual Mamba WACV 2025 OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models AAAI 2024 QEFT: Quantization for Efficient Fine-Tuning of LLMs EMNLP 2024 FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models ECCV 2024 INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold ICCV 2023 Temporal Dynamic Quantization for Diffusion Models NIPS 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023 NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023 BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks ECCV 2022 Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking IJCAI 2022 Symmetry Regularization and Saturating Nonlinearity for Robust Quantization ECCV 2022 Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation ICCV 2021 PROFIT: A Novel Training Method for sub-4-bit MobileNet Models ECCV 2020 Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss ICCV 2019 Value-aware Quantization for Training and Inference of Neural Networks ECCV 2018 Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017