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ORCIDHyunwoo J. Kim
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- affiliation: University of Wisconsin-Madison, Department of Computer Sciences, WI, USA
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2020 – today
- 2023
[j10]Youngjin Oh, Minkyu Jeon, Dohwan Ko, Hyunwoo J. Kim:
Randomly shuffled convolution for self-supervised representation learning. Inf. Sci. 623: 206-219 (2023)- [j9]Dasol Hwang, Sojin Lee, Joonmyung Choi, Je-Keun Rhee, Hyunwoo J. Kim:
Robust auxiliary learning with weighting function for biased data. Inf. Sci. 628: 307-319 (2023) - [i28]Hwan Heo, Youngjin Oh, Jaewon Lee, Hyunwoo J. Kim:
Domain Generalization Emerges from Dreaming. CoRR abs/2302.00980 (2023) - [i27]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 abs/2302.01571 (2023) - [i26]Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim:
Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild. CoRR abs/2303.03966 (2023) - [i25]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 abs/2303.10824 (2023) - [i24]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 abs/2303.13009 (2023) - [i23]Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim:
Self-positioning Point-based Transformer for Point Cloud Understanding. CoRR abs/2303.16450 (2023) - 2022
- [j8]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: 108469-108482 (2022) - [j7]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): 103 (2022) - [j6]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: 104-119 (2022) - [c33]Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim:
Deformable Graph Convolutional Networks. AAAI 2022: 7949-7956 - [c32]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: 1009-1018 - [c31]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: 5006-5015 - [c30]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: 661-678 - [c29]Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim:
Invertible Monotone Operators for Normalizing Flows. NeurIPS 2022 - [c28]Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim:
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. NeurIPS 2022 - [c27]Dong Hoon Lee, Sungik Choi, Hyunwoo J. Kim, Sae-Young Chung:
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. NeurIPS 2022 - [c26]Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim:
SageMix: Saliency-Guided Mixup for Point Clouds. NeurIPS 2022 - [i22]Chongkeun Paik, Hyunwoo J. Kim:
Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. CoRR abs/2201.01494 (2022) - [i21]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 abs/2203.14082 (2022) - [i20]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 abs/2203.16784 (2022) - [i19]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 abs/2204.04836 (2022) - [i18]Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J. Kim:
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. CoRR abs/2206.04216 (2022) - [i17]Jinyoung Park, Seongjun Yun, Hyeon-Jin Park, Jaewoo Kang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Deformable Graph Transformer. CoRR abs/2206.14337 (2022) - [i16]Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim:
SageMix: Saliency-Guided Mixup for Point Clouds. CoRR abs/2210.06944 (2022) - [i15]Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim:
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. CoRR abs/2210.07562 (2022) - [i14]Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim:
Invertible Monotone Operators for Normalizing Flows. CoRR abs/2210.08176 (2022) - [i13]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 abs/2212.00975 (2022) - 2021
- [j5]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: 127961-127972 (2021) - [j4]Seungdong Yoa, Minkyu Jeon, Youngjin Oh, Hyunwoo J. Kim:
Learning to Balance Local Losses via Meta-Learning. IEEE Access 9: 130834-130844 (2021) - [j3]Seungdong Yoa, Jinyoung Park, Hyunwoo J. Kim:
Learning Non-Parametric Surrogate Losses With Correlated Gradients. IEEE Access 9: 141199-141209 (2021) - [j2]Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim:
Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. IEEE Access 9: 146938-146947 (2021) - [j1]Seungdong Yoa, Seungjun Lee, Chiyoon Kim, Hyunwoo J. Kim:
Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation. IEEE Access 9: 147201-147211 (2021) - [c25]Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim:
HOTR: End-to-End Human-Object Interaction Detection With Transformers. CVPR 2021: 74-83 - [c24]Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim:
Point Cloud Augmentation with Weighted Local Transformations. ICCV 2021: 528-537 - [c23]Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J. Kim:
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. NeurIPS 2021: 13683-13694 - [c22]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: 19010-19020 - [i12]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 abs/2103.00771 (2021) - [i11]Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim:
HOTR: End-to-End Human-Object Interaction Detection with Transformers. CoRR abs/2104.13682 (2021) - [i10]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 abs/2106.06218 (2021) - [i9]Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim:
Point Cloud Augmentation with Weighted Local Transformations. CoRR abs/2110.05379 (2021) - [i8]Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim:
Deformable Graph Convolutional Networks. CoRR abs/2112.14438 (2021) - 2020
- [c21]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: 416-432 - [c20]Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim:
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. ECCV (15) 2020: 498-514 - [c19]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 - [c18]Jiwon Kim, GiJae Lee, Jun-Sik Kim, Hyunwoo J. Kim, KangGeon Kim:
Monocular 3D object detection for an indoor robot environment. RO-MAN 2020: 438-445 - [i7]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 abs/2007.08294 (2020) - [i6]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 abs/2010.10047 (2020) - [i5]Bryce Chudomelka, Youngjoon Hong, Hyunwoo J. Kim, Jinyoung Park:
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation. CoRR abs/2010.12975 (2020)
2010 – 2019
- 2019
- [c17]Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh:
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. CVPR 2019: 7743-7752 - [c16]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: 99-111 - [c15]Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim:
Graph Transformer Networks. NeurIPS 2019: 11960-11970 - [c14]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: 809-819 - [i4]Yunyang Xiong, Hyunwoo J. Kim, Varsha Hedau:
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification. CoRR abs/1904.03775 (2019) - [i3]Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim:
Graph Transformer Networks. CoRR abs/1911.06455 (2019) - [i2]Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo:
Unpaired Image Translation via Adaptive Convolution-based Normalization. CoRR abs/1911.13271 (2019) - 2018
- [c13]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: 1014-1023 - [c12]Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh:
Efficient Relative Attribute Learning Using Graph Neural Networks. ECCV (14) 2018: 575-590 - 2017
- [c11]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: 699-708 - [c10]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: 5777-5786 - [c9]Hoon Heo, Hyunwoo J. Kim, Wan Soo Kim, Kyogu Lee:
Cover Song Identification with Metric Learning Using Distance as a Feature. ISMIR 2017: 628-634 - [c8]Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz:
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. NIPS 2017: 5413-5423 - [i1]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 abs/1711.07575 (2017) - 2016
- [c7]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: 2443-2451 - [c6]Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh:
Abundant Inverse Regression Using Sufficient Reduction and Its Applications. ECCV (3) 2016: 570-584 - 2015
- [c5]Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh:
Interpolation on the Manifold of K Component GMMs. ICCV 2015: 2884-2892 - [c4]Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh:
Manifold-valued Dirichlet Processes. ICML 2015: 1199-1208 - [c3]Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz:
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. ECML/PKDD (1) 2015: 102-118 - 2014
- [c2]Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh:
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR 2014: 2705-2712 - [c1]Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh:
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) 2014: 251-267
Coauthor Index
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last updated on 2023-05-15 01:16 CEST by the dblp team
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