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Hyunwoo J. Kim
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Graph transformer networks
S Yun, M Jeong, R Kim, J Kang, HJ Kim
Advances in neural information processing systems 32, 2019
8782019
HOTR: End-to-end Human-Object Interaction Detection with Transformers
B Kim, J Lee, J Kang, ES Kim, HJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2372021
Maximizing subset accuracy with recurrent neural networks in multi-label classification
J Nam, E Loza Mencía, HJ Kim, J Fürnkranz
Advances in neural information processing systems 30, 2017
2032017
Uniondet: Union-level detector towards real-time human-object interaction detection
B Kim, T Choi, J Kang, HJ Kim
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1542020
Mixed effects neural networks (menets) with applications to gaze estimation
Y Xiong, HJ Kim, V Singh
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
992019
Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction
S Yun, S Kim, J Lee, J Kang, HJ Kim
Advances in Neural Information Processing Systems 34, 13683-13694, 2021
762021
Self-supervised auxiliary learning with meta-paths for heterogeneous graphs
D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim
Advances in Neural Information Processing Systems 33, 10294-10305, 2020
732020
Multivariate general linear models (MGLM) on Riemannian manifolds with applications to statistical analysis of diffusion weighted images
HJ Kim, N Adluru, MD Collins, MK Chung, BB Bendlin, SC Johnson, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
732014
Tensorize, factorize and regularize: Robust visual relationship learning
SJ Hwang, SN Ravi, Z Tao, HJ Kim, MD Collins, V Singh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
702018
Point cloud augmentation with weighted local transformations
S Kim, S Lee, D Hwang, J Lee, SJ Hwang, HJ Kim
Proceedings of the IEEE/CVF international conference on computer vision, 548-557, 2021
502021
Metropolis-hastings data augmentation for graph neural networks
H Park, S Lee, S Kim, J Park, J Jeong, KM Kim, JW Ha, HJ Kim
Advances in Neural Information Processing Systems 34, 19010-19020, 2021
362021
Canonical correlation analysis on riemannian manifolds and its applications
HJ Kim, N Adluru, BB Bendlin, SC Johnson, BC Vemuri, V Singh
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
342014
Efficient relative attribute learning using graph neural networks
Z Meng, N Adluru, HJ Kim, G Fung, V Singh
Proceedings of the European conference on computer vision (ECCV), 552-567, 2018
332018
Riemannian nonlinear mixed effects models: Analyzing longitudinal deformations in neuroimaging
HJ Kim, N Adluru, H Suri, BC Vemuri, SC Johnson, V Singh
Proceedings of the IEEE conference on computer vision and pattern …, 2017
302017
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
S Yun, M Jeong, S Yoo, S Lee, SY Sean, R Kim, J Kang, HJ Kim
Neural Networks 153, 104-119, 2022
282022
Antnets: Mobile convolutional neural networks for resource efficient image classification
Y Xiong, HJ Kim, V Hedau
arXiv preprint arXiv:1904.03775, 2019
252019
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
HK Choi, J Choi, HJ Kim
Advances in Neural Information Processing Systems 35, 2022
232022
Consistency learning via decoding path augmentation for transformers in human object interaction detection
J Park, SJ Lee, H Heo, HK Choi, HJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
232022
Self-supervised learning for anomaly detection with dynamic local augmentation
S Yoa, S Lee, C Kim, HJ Kim
IEEE Access 9, 147201-147211, 2021
192021
SageMix: Saliency-Guided Mixup for Point Clouds
S Lee, M Jeon, I Kim, Y Xiong, HJ Kim
Advances in Neural Information Processing Systems 35, 2022
182022
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