Hyunwoo J. Kim
Title
Cited by
Cited by
Year
Maximizing subset accuracy with recurrent neural networks in multi-label classification
J Nam, EL Mencía, HJ Kim, J Fürnkranz
Proceedings of the 31st International Conference on Neural Information …, 2017
922017
Graph Transformer Networks
S Yun, M Jeong, R Kim, J Kang, HJ Kim
Advances in Neural Information Processing Systems 32, 11983--11993, 2019
512019
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
452014
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
322018
Canonical correlation analysis on riemannian manifolds and its applications
HJ Kim, N Adluru, BB Bendlin, SC Johnson, BC Vemuri, V Singh
Proceedings of the European conference on computer vision (ECCV), 2014
242014
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
192019
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
192017
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
152018
Text-to-image cross-modal retrieval of magazine articles based on higher-order pattern recall by hypernetworks
JW Ha, BH Kim, HW Kim, W Yoon, JH Eom, BT Zhang
brain 3, 4, 2010
152010
Predicting unseen labels using label hierarchies in large-scale multi-label learning
J Nam, EL Mencía, HJ Kim, J Fürnkranz
Joint European conference on machine learning and knowledge discovery in …, 2015
142015
Manifold-valued Dirichlet processes
H Kim, J Xu, B Vemuri, V Singh
International Conference on Machine Learning, 1199-1208, 2015
122015
Evolutionary hypernetworks for learning to generate music from examples
HW Kim, BH Kim, BT Zhang
2009 IEEE International Conference on Fuzzy Systems, 47-52, 2009
102009
Antnets: Mobile convolutional neural networks for resource efficient image classification
Y Xiong, HJ Kim, V Hedau
arXiv preprint arXiv:1904.03775, 2019
92019
Cover Song Identification with Metric Learning Using Distance as a Feature
H Heo, HJ Kim, WS Kim, K Lee
The International Society of Music Information Retrieval (ISMIR), 2017
52017
Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
WH Kim, HJ Kim, N Adluru, V Singh
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
52016
Abundant Inverse Regression using Sufficient Reduction and its Applications
HJ Kim, BM Smith, N Adluru, CR Dyer, SC Johnson, V Singh
European Conference on Computer Vision, 2016
42016
Interpolation on the manifold of K component GMMs
HJ Kim, N Adluru, M Banerjee, BC Vemuri, V Singh
Proceedings of the IEEE International Conference on Computer Vision, 2884-2892, 2015
42015
MGLM on Riemannian manifolds with applications to statistical analysis of diffusion weighted images
HJ Kim, BB Bendlin
IEEE CVPR, 2705-2712, 2014
42014
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods
HJK Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong
European Conference on Computer Vision, 2020
32020
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
SJ Hwang, RR Mehta, HJ Kim, SC Johnson, V Singh
Conference on Uncertainty in Artificial Intelligence, 2019
32019
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Articles 1–20