← Authors

Hyunwoo J. Kim

48 papers · 2014–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (85) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (195) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (45) ⚑ Prolific Year (6)

Conferences

CVPR (16) ICCV (7) AAAI (6) ECCV (5) ICML (5) NIPS (3) EMNLP (2) ICLR (2) UAI (1) WACV (1)

Top co-authors

Jinyoung Park (11) Sanghyeok Lee (9) Vikas Singh (8) Jihwan Park (6) Joonmyung Choi (6) Sihyeon Kim (5) Nagesh Adluru (5) Dohwan Ko (5) Jaewon Chu (4) Ji Soo Lee (4)

Research topics

Core AI (2)

Keywords

vision-language model (5) graph neural network (4) self-supervised learning (3) transfer learning (3) multimodal learning (3) domain generalization (3) attention mechanism (3) efficient computing (3) multimodal large language model (2) transformer architecture (2) parameter efficiency (2) molecular graph (2) few-shot learning (2) image classification (2) video understanding (2) object detection (2) point cloud (2) direct preference optimization (2) multi-modal learning (2) riemannian manifold (2)

Papers

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