Hyunwoo J. Kim

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 101

Top Venues

Publications

Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. ICLR (2024)
Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. CoRR (2024)
Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
Prompt Learning via Meta-Regularization. CoRR (2024)
Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim
Stochastic Conditional Diffusion Models for Semantic Image Synthesis. CoRR (2024)
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers. CoRR (2024)
Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim
vid-TLDR: Training Free Token merging for Light-weight Video Transformer. CoRR (2024)
Hodong Kim, Changhee Hahn, Hyunwoo J. Kim, Youngjoo Shin, Junbeom Hur
Deep Learning-Based Detection for Multiple Cache Side-Channel Attacks. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Jongha Kim, Jihwan Park, Jinyoung Park, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection. CoRR (2024)
Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. CoRR (2024)
Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim
Retrieval-Augmented Open-Vocabulary Object Detection. CoRR (2024)
Juhan Cha, Minseok Joo, Jihwan Park, Sanghyeok Lee, Injae Kim, Hyunwoo J. Kim
Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble. CoRR (2024)
Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim
Relation-Aware Language-Graph Transformer for Question Answering. AAAI (2023)
Hwan Heo, Youngjin Oh, Jaewon Lee, Hyunwoo J. Kim
Domain Generalization Emerges from Dreaming. CoRR (2023)
Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim
Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. ICCV (2023)
Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim
Self-positioning Point-based Transformer for Point Cloud Understanding. CoRR (2023)
Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field. NeurIPS (2023)
Hyeong Kyu Choi, Chong Keun Paik, Hyun Woo Ko, Min-Chul Park, Hyunwoo J. Kim
Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes. IEEE Access 11 (2023)
Youngjin Oh, Minkyu Jeon, Dohwan Ko, Hyunwoo J. Kim
Randomly shuffled convolution for self-supervised representation learning. Inf. Sci. 623 (2023)
Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. CoRR (2023)
Dohwan Ko, Ji Soo Lee, Woo-Young Kang, Byungseok Roh, Hyunwoo J. Kim
Large Language Models are Temporal and Causal Reasoners for Video Question Answering. CoRR (2023)
Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. ICCV (2023)
Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment. CoRR (2023)
Dasol Hwang, Sojin Lee, Joonmyung Choi, Je-Keun Rhee, Hyunwoo J. Kim
Robust auxiliary learning with weighting function for biased data. Inf. Sci. 628 (2023)
Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim
Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild. CoRR (2023)
Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim
Advancing Bayesian Optimization via Learning Correlated Latent Space. CoRR (2023)
Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim
Read-only Prompt Optimization for Vision-Language Few-shot Learning. CoRR (2023)
Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. CoRR (2023)
Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. NeurIPS (2023)
Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
Distribution-Aware Prompt Tuning for Vision-Language Models. ICCV (2023)
Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. CoRR (2023)
Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. CoRR (2023)
Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim
Self-Positioning Point-Based Transformer for Point Cloud Understanding. CVPR (2023)
Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim
Advancing Bayesian Optimization via Learning Correlated Latent Space. NeurIPS (2023)
Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CVPR (2023)
Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. CoRR (2023)
Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models. CoRR (2023)
Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields. CoRR (2023)
Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. CoRR (2023)
Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CoRR (2023)
Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim
Read-only Prompt Optimization for Vision-Language Few-shot Learning. ICCV (2023)
Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. ICML (2023)
Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
Distribution-Aware Prompt Tuning for Vision-Language Models. CoRR (2023)
Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho
k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. ECCV (21) (2022)
Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
SageMix: Saliency-Guided Mixup for Point Clouds. CoRR (2022)
Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J. Kim
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. CoRR (2022)
Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. NeurIPS (2022)
Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. CVPR (2022)
Jinyoung Park, Seongjun Yun, Hyeon-Jin Park, Jaewoo Kang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Deformable Graph Transformer. CoRR (2022)
Chongkeun Paik, Hyunwoo J. Kim
Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. CoRR (2022)
Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim
Video-Text Representation Learning via Differentiable Weak Temporal Alignment. CVPR (2022)
Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim
Invertible Monotone Operators for Normalizing Flows. CoRR (2022)
Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim
Relation-aware Language-Graph Transformer for Question Answering. CoRR (2022)
Wuming Gong, Hyunwoo J. Kim, Daniel J. Garry, Il-Youp Kwak
Single cell lineage reconstruction using distance-based algorithms and the R package, DCLEAR. BMC Bioinform. 23 (1) (2022)
Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim
Invertible Monotone Operators for Normalizing Flows. NeurIPS (2022)
Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
SageMix: Saliency-Guided Mixup for Point Clouds. NeurIPS (2022)
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks: Learning meta-path graphs to improve GNNs. Neural Networks 153 (2022)
Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim
Video-Text Representation Learning via Differentiable Weak Temporal Alignment. CoRR (2022)
Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim
Deformable Graph Convolutional Networks. AAAI (2022)
Hyojung Choi, Chanhwi Jung, Taein Kang, Hyunwoo J. Kim, Il-Youp Kwak
Explainable Time-Series Prediction Using a Residual Network and Gradient-Based Methods. IEEE Access 10 (2022)
Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. CoRR (2022)
Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Metropolis-Hastings Data Augmentation for Graph Neural Networks. CoRR (2022)
Dong Hoon Lee, Sungik Choi, Hyunwoo J. Kim, Sae-Young Chung
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. NeurIPS (2022)
Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. CoRR (2022)
Seungdong Yoa, Minkyu Jeon, Youngjin Oh, Hyunwoo J. Kim
Learning to Balance Local Losses via Meta-Learning. IEEE Access 9 (2021)
Seungdong Yoa, Seungjun Lee, Chiyoon Kim, Hyunwoo J. Kim
Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation. IEEE Access 9 (2021)
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
Point Cloud Augmentation with Weighted Local Transformations. CoRR (2021)
Seungdong Yoa, Jinyoung Park, Hyunwoo J. Kim
Learning Non-Parametric Surrogate Losses With Correlated Gradients. IEEE Access 9 (2021)
Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J. Kim
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. NeurIPS (2021)
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
Point Cloud Augmentation with Weighted Local Transformations. ICCV (2021)
Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS (2021)
Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim
Deformable Graph Convolutional Networks. CoRR (2021)
Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim
HOTR: End-to-End Human-Object Interaction Detection With Transformers. CVPR (2021)
Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim
HOTR: End-to-End Human-Object Interaction Detection with Transformers. CoRR (2021)
Hyeon-Jin Park, Seunghun Lee, Dasol Hwang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Learning Augmentation for GNNs With Consistency Regularization. IEEE Access 9 (2021)
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs. CoRR (2021)
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. CoRR (2021)
Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim
Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. IEEE Access 9 (2021)
Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods. ECCV (9) (2020)
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. CoRR (2020)
Bryce Chudomelka, Youngjoon Hong, Hyunwoo J. Kim, Jinyoung Park
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation. CoRR (2020)
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS (2020)
Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. ECCV (15) (2020)
Jiwon Kim, GiJae Lee, Jun-Sik Kim, Hyunwoo J. Kim, KangGeon Kim
Monocular 3D object detection for an indoor robot environment. RO-MAN (2020)
Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods. CoRR (2020)
Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh
On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI (2019)
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks. CoRR (2019)
Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. CVPR (2019)
Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo
Unpaired Image Translation via Adaptive Convolution-based Normalization. CoRR (2019)
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks. NeurIPS (2019)
Yunyang Xiong, Hyunwoo J. Kim, Varsha Hedau
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification. CoRR (2019)
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI (2019)
Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh
Efficient Relative Attribute Learning Using Graph Neural Networks. ECCV (14) (2018)
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. CVPR (2018)
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR (2017)
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. NIPS (2017)
Hoon Heo, Hyunwoo J. Kim, Wan Soo Kim, Kyogu Lee
Cover Song Identification with Metric Learning Using Distance as a Feature. ISMIR (2017)
Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR (2017)
Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh
Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. CVPR Workshops (2017)
Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). CVPR (2016)

Hyunwoo J. Kim.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hyunwoo J. Kim