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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
9382019
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
2432021
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
2102017
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
1582020
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
1022019
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
832021
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
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
732018
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
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
542021
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
392021
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
362022
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
Antnets: Mobile convolutional neural networks for resource efficient image classification
Y Xiong, HJ Kim, V Hedau
arXiv preprint arXiv:1904.03775, 2019
262019
Self-positioning point-based transformer for point cloud understanding
J Park, S Lee, S Kim, Y Xiong, HJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
252023
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
HK Choi, J Choi, HJ Kim
Advances in Neural Information Processing Systems 35, 2022
252022
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
242022
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
232022
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Artikelen 1–20