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Junmo Kim
Junmo Kim
School of Electrical Engineering, KAIST
Bestätigte E-Mail-Adresse bei kaist.ac.kr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A gift from knowledge distillation: Fast optimization, network minimization and transfer learning
J Yim, D Joo, J Bae, J Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2017
18442017
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition
H Jung, S Lee, J Yim, S Park, J Kim
ICCV 2015, 2015
9452015
Deep pyramidal residual networks
D Han, J Kim, J Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8632017
Deep Saliency With Encoded Low Level Distance Map and High Level Features
G Lee, YW Tai, J Kim
CVPR 2016, 2016
5632016
Learning not to learn: Training deep neural networks with biased data
B Kim, H Kim, K Kim, S Kim, J Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4842019
A nonparametric statistical method for image segmentation using information theory and curve evolution
J Kim, JW Fisher III, A Yezzi, M Çetin, AS Willsky
IEEE Trans. on Image Processing, 2005
4312005
Rotating your face using multi-task deep neural network
J Yim, H Jung, BI Yoo, C Choi, D Park, J Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2015
3702015
Salient region detection via high-dimensional color transform
J Kim, D Han, YW Tai, J Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2014
3602014
Nlnl: Negative learning for noisy labels
Y Kim, J Yim, J Yun, J Kim
Proceedings of the IEEE/CVF international conference on computer vision, 101-110, 2019
3342019
Less-forgetting learning in deep neural networks
H Jung, J Ju, M Jung, J Kim
arXiv preprint arXiv:1607.00122, 2016
2792016
Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning
H Lee, M Park, J Kim
2016 IEEE international conference on image processing (ICIP), 3713-3717, 2016
2532016
Active convolution: Learning the shape of convolution for image classification
Y Jeon, J Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2142017
Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support
J Kim, D Han, YW Tai, J Kim
IEEE Transactions on Image Processing 25 (1), 9-23, 2016
1892016
Nonparametric methods for image segmentation using information theory and curve evolution
J Kim, JW Fisher, A Yezzi, M Cetin, AS Willsky
Proceedings. International Conference on Image Processing 3, 797-800, 2002
1632002
Global-local path networks for monocular depth estimation with vertical cutdepth
D Kim, W Ka, P Ahn, D Joo, S Chun, J Kim
arXiv preprint arXiv:2201.07436, 2022
1522022
Nonparametric shape priors for active contour-based image segmentation
J Kim, M Çetin, AS Willsky
Signal Processing 87 (12), 3021-3044, 2007
1462007
An efficient lane detection algorithm for lane departure detection
H Jung, J Min, J Kim
Intelligent Vehicles Symposium (IV), 2013 IEEE, 976-981, 2013
1302013
Deep generative-contrastive networks for facial expression recognition
Y Kim, BI Yoo, Y Kwak, C Choi, J Kim
arXiv preprint arXiv:1703.07140, 2017
1112017
Cephalometric landmark detection in dental x-ray images using convolutional neural networks
H Lee, M Park, J Kim
Medical imaging 2017: Computer-aided diagnosis 10134, 494-499, 2017
1022017
Unsupervised simultaneous orthogonal basis clustering feature selection
D Han, J Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2015
982015
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