Hyunwoo J. Kim

DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning CVPR 2026 Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration AAAI 2026 MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR 2026 RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection CVPR 2026 Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering WACV 2026 TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing AAAI 2026 Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization AAAI 2026 Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval ICCV 2025 Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization EMNLP 2025 EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality CVPR 2025 Latent Bayesian Optimization via Autoregressive Normalizing Flows ICLR 2025 LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding ICML 2025 Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion ICML 2025 Representation Shift: Unifying Token Compression with FlashAttention ICCV 2025 Super-Class Guided Transformer for Zero-Shot Attribute Classification AAAI 2025 VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning AAAI 2025 When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class ICML 2025 Constant Acceleration Flow NeurIPS 2024 DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations ICLR 2024 Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems ECCV 2024 Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation EMNLP 2024 Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection CVPR 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 LLaMo: Large Language Model-based Molecular Graph Assistant NeurIPS 2024 Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers CVPR 2024 Prompt Learning via Meta-Regularization CVPR 2024 Retrieval-Augmented Open-Vocabulary Object Detection CVPR 2024 Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis ICML 2024 vid-TLDR: Training Free Token Merging for Light-weight Video Transformer CVPR 2024 MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models CVPR 2023 Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models ICCV 2023 Read-only Prompt Optimization for Vision-Language Few-shot Learning ICCV 2023 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023 Self-Positioning Point-Based Transformer for Point Cloud Understanding CVPR 2023 Semantic-Aware Implicit Template Learning via Part Deformation Consistency ICCV 2023 Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection CVPR 2022 Deformable Graph Convolutional Networks AAAI 2022 K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment ECCV 2022 Video-Text Representation Learning via Differentiable Weak Temporal Alignment CVPR 2022 HOTR: End-to-End Human-Object Interaction Detection With Transformers CVPR 2021 Point Cloud Augmentation With Weighted Local Transformations ICCV 2021 Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods ECCV 2020 UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection ECCV 2020 Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation CVPR 2019 Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019 Efficient Relative Attribute Learning using Graph Neural Networks ECCV 2018 Tensorize, Factorize and Regularize: Robust Visual Relationship Learning CVPR 2018 Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging CVPR 2017 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016 Interpolation on the Manifold of K Component GMMs ICCV 2015 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014