Kim, Hyunwoo J.

63 publications

ICCV 2025 Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval Dohwan Ko, Ji Soo Lee, Minhyuk Choi, Zihang Meng, Hyunwoo J. Kim

NeurIPS 2025 Blockwise Flow Matching: Improving Flow Matching Models for Efficient High-Quality Generation Dogyun Park, Taehoon Lee, Minseok Joo, Hyunwoo J. Kim

NeurIPS 2025 DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-Aware Regressive GRPO Jinyoung Park, Jeehye Na, Jinyoung Kim, Hyunwoo J. Kim

CVPR 2025 EfficientViM: Efficient Vision Mamba with Hidden State Mixer Based State Space Duality Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim

ICLR 2025 Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo J. Kim

ICML 2025 LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra

ICML 2025 Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim, Kyogu Lee

NeurIPS 2025 PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim

ICCV 2025 Representation Shift: Unifying Token Compression with FlashAttention Joonmyung Choi, Sanghyeok Lee, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim

AAAI 2025 Super-Class Guided Transformer for Zero-Shot Attribute Classification Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim

AAAI 2025 VidChain: Chain-of-Tasks with Metric-Based Direct Preference Optimization for Dense Video Captioning Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim

NeurIPS 2025 Visual Diversity and Region-Aware Prompt Learning for Zero-Shot HOI Detection Chanhyeong Yang, Taehoon Song, Jihwan Park, Hyunwoo J. Kim

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

NeurIPS 2024 Constant Acceleration Flow Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim

ICLR 2024 DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim

ECCV 2024 Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim

CVPR 2024 Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-Based Visual Relationship Detection Jongha Kim, Jihwan Park, Jinyoung Park, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim

NeurIPS 2024 Inversion-Based Latent Bayesian Optimization Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. Kim

NeurIPS 2024 LLaMo: Large Language Model-Based Molecular Graph Assistant Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim

CVPR 2024 Multi-Criteria Token Fusion with One-Step-Ahead Attention for Efficient Vision Transformers Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim

CVPR 2024 Prompt Learning via Meta-Regularization Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim

CVPR 2024 Retrieval-Augmented Open-Vocabulary Object Detection Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim

ICML 2024 Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim

ECCV 2024 Understanding Multi-Compositional Learning in Vision and Language Models via Category Theory Sotirios Panagiotis Chytas, Hyunwoo J Kim, Vikas Singh

CVPR 2024 Vid-TLDR: Training Free Token Merging for Light-Weight Video Transformer Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim

NeurIPS 2023 Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J Kim

ICCV 2023 Distribution-Aware Prompt Tuning for Vision-Language Models Eulrang Cho, Jooyeon Kim, Hyunwoo J Kim

CVPR 2023 MELTR: Meta Loss Transformer for Learning to Fine-Tune Video Foundation Models Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim

NeurIPS 2023 NuTrea: Neural Tree Search for Context-Guided Multi-Hop KGQA Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J Kim

ICCV 2023 Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim

ICCV 2023 Read-Only Prompt Optimization for Vision-Language Few-Shot Learning Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim

AAAI 2023 Relation-Aware Language-Graph Transformer for Question Answering Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim

ICML 2023 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim

CVPR 2023 Self-Positioning Point-Based Transformer for Point Cloud Understanding Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim

ICCV 2023 Semantic-Aware Implicit Template Learning via Part Deformation Consistency Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim

NeurIPS 2023 UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field Injae Kim, Minhyuk Choi, Hyunwoo J Kim

CVPR 2022 Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection Jihwan Park, SeungJun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim

AAAI 2022 Deformable Graph Convolutional Networks Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim

NeurIPS 2022 Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J Kim

ECCV 2022 K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment Minkyu Jeon, Hyeonjin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho

NeurIPS 2022 SageMix: Saliency-Guided Mixup for Point Clouds Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J Kim

NeurIPS 2022 TokenMixup: Efficient Attention-Guided Token-Level Data Augmentation for Transformers Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J Kim

NeurIPS 2022 Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment Dong Hoon Lee, Sungik Choi, Hyunwoo J Kim, Sae-Young Chung

CVPR 2022 Video-Text Representation Learning via Differentiable Weak Temporal Alignment Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim

CVPR 2021 HOTR: End-to-End Human-Object Interaction Detection with Transformers Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim

NeurIPS 2021 Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeonjin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J Kim

NeurIPS 2021 Neo-GNNs: Neighborhood Overlap-Aware Graph Neural Networks for Link Prediction Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J Kim

ICCV 2021 Point Cloud Augmentation with Weighted Local Transformations Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim

ECCV 2020 Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim

NeurIPS 2020 Self-Supervised Auxiliary Learning with Meta-Paths for Heterogeneous Graphs Dasol Hwang, Jinyoung Park, Sunyoung Kwon, KyungMin Kim, Jung-Woo Ha, Hyunwoo J Kim

ECCV 2020 UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim

NeurIPS 2019 Graph Transformer Networks Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J Kim

UAI 2019 Sampling-Free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging Seong Jae Hwang, Ronak R. Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh

ECCV 2018 Efficient Relative Attribute Learning Using Graph Neural Networks Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh

NeurIPS 2017 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-Label Classification Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J Kim, Johannes Fürnkranz

CVPR 2017 Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh

CVPRW 2017 Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh

ECCV 2016 Abundant Inverse Regression Using Sufficient Reduction and Its Applications Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh

CVPR 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh

ICCV 2015 Interpolation on the Manifold of K Component GMMs Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh

ECML-PKDD 2015 Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-Label Learning Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz

ECCV 2014 Canonical Correlation Analysis on Riemannian Manifolds and Its Applications Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh

CVPR 2014 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images Hyunwoo J. Kim, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Barbara B. Bendlin, Sterling C. Johnson, Richard J. Davidson, Vikas Singh