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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
- 2025
[e2]Zhongying Deng
, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang:
Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15184, Springer 2025, ISBN 978-3-031-73470-0 [contents]- 2024
- [j12]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: 1672-1686 (2024) - [c53]Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim:
Multi-Criteria Token Fusion with One-Step-Ahead Attention for Efficient Vision Transformers. CVPR 2024: 15741-15750 - [c52]Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim:
Retrieval-Augmented Open-Vocabulary Object Detection. CVPR 2024: 17427-17436 - [c51]Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim:
vid-TLDR: Training Free Token merging for Light-Weight Video Transformer. CVPR 2024: 18771-18781 - [c50]Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim:
Prompt Learning via Meta-Regularization. CVPR 2024: 26930-26940 - [c49]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. CVPR 2024: 28160-28169 - [c48]Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim:
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. EMNLP 2024: 21167-21182 - [c47]Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim:
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. ICLR 2024 - [c46]Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim:
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis. ICML 2024 - [i50]Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim:
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. CoRR abs/2401.12517 (2024) - [i49]Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim:
Stochastic Conditional Diffusion Models for Semantic Image Synthesis. CoRR abs/2402.16506 (2024) - [i48]Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim:
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers. CoRR abs/2403.10030 (2024) - [i47]Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim:
vid-TLDR: Training Free Token merging for Light-weight Video Transformer. CoRR abs/2403.13347 (2024) - [i46]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 abs/2403.17709 (2024) - [i45]Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim:
Prompt Learning via Meta-Regularization. CoRR abs/2404.00851 (2024) - [i44]Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim:
Retrieval-Augmented Open-Vocabulary Object Detection. CoRR abs/2404.05687 (2024) - [i43]Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim:
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. CoRR abs/2407.16125 (2024) - [i42]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 abs/2407.19156 (2024) - [i41]Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li:
SoccerNet 2024 Challenges Results. CoRR abs/2409.10587 (2024) - 2023
- [j11]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: 78623-78643 (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) - [c45]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: 13457-13464 - [c44]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: 20105-20115 - [c43]Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim:
Self-Positioning Point-Based Transformer for Point Cloud Understanding. CVPR 2023: 21814-21823 - [c42]Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim:
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. ICCV 2023: 593-603 - [c41]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: 1401-1411 - [c40]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: 3078-3089 - [c39]Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim:
Distribution-Aware Prompt Tuning for Vision-Language Models. ICCV 2023: 21947-21956 - [c38]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: 13000-13016 - [c37]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: 225-233 - [c36]Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim:
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. NeurIPS 2023 - [c35]Injae Kim, Minhyuk Choi, Hyunwoo J. Kim:
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field. NeurIPS 2023 - [c34]Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim:
Advancing Bayesian Optimization via Learning Correlated Latent Space. NeurIPS 2023 - [e1]M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i40]Hwan Heo, Youngjin Oh, Jaewon Lee, Hyunwoo J. Kim:
Domain Generalization Emerges from Dreaming. CoRR abs/2302.00980 (2023) - [i39]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) - [i38]Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim:
Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild. CoRR abs/2303.03966 (2023) - [i37]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) - [i36]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) - [i35]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) - [i34]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 abs/2308.09363 (2023) - [i33]Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim:
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. CoRR abs/2308.11916 (2023) - [i32]Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim:
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. CoRR abs/2308.11920 (2023) - [i31]Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim:
Read-only Prompt Optimization for Vision-Language Few-shot Learning. CoRR abs/2308.14960 (2023) - [i30]Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim:
Distribution-Aware Prompt Tuning for Vision-Language Models. CoRR abs/2309.03406 (2023) - [i29]Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim:
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. CoRR abs/2310.15484 (2023) - [i28]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 abs/2310.15747 (2023) - [i27]Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim:
Advancing Bayesian Optimization via Learning Correlated Latent Space. CoRR abs/2310.20258 (2023) - [i26]Injae Kim, Minhyuk Choi, Hyunwoo J. Kim:
UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields. CoRR abs/2311.03784 (2023) - [i25]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 abs/2311.09762 (2023) - [i24]Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim:
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. CoRR abs/2312.12664 (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 - [i23]Chongkeun Paik, Hyunwoo J. Kim:
Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. CoRR abs/2201.01494 (2022) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim:
SageMix: Saliency-Guided Mixup for Point Clouds. CoRR abs/2210.06944 (2022) - [i16]Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim:
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. CoRR abs/2210.07562 (2022) - [i15]Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim:
Invertible Monotone Operators for Normalizing Flows. CoRR abs/2210.08176 (2022) - [i14]Dong Hoon Lee, Sung-Ik Choi, Hyunwoo J. Kim, Sae-Young Chung:
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. CoRR abs/2211.02284 (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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