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Tae-Hyun Oh
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Research Interests
Data efficient machine learning– Multi-modal learning– Machine perception understanding– Video analysis and applications– Schematic 3D reconstruction, and 3D from casual motion
Data efficient machine learning– Multi-modal learning– Machine perception understanding– Video analysis and applications– Schematic 3D reconstruction, and 3D from casual motion
Papers58 papers
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IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2020)
IEEE Trans. Pattern Anal. Mach. Intell., no. 10 (2020): 2656-2669
International Conference on Machine Learning, (2019): 3272-3281
Cited by5EIBibtex
EMNLP/IJCNLP (1), pp.2012-2023, (2019)
BMVC, pp.262, (2019)
Cited by2EIBibtex
CVPR, (2019): 7539-7548
Cited by53EIBibtex
CVPR, pp.10454-10464, (2019)
CVPR, (2019): 9462-9470
Cited by6EIBibtex
CVPR, (2019): 6271-6280
Cited by8EIBibtex
ICASSP, (2019)
Cited by12EIBibtex
SENSORS, no. 1.0 (2019)
IEEE Transactions on Circuits and Systems for Video Technology, (2019)
IEEE transactions on pattern analysis and machine intelligence, (2018)
IEEE Signal Processing Letters, no. 3 (2018): 393-397
CVPR, (2018): 4358-4366
national conference on artificial intelligence, (2018)
Cited by7EIBibtex
CVPR Workshops, pp.2508-2509, (2018)
Cited by3EIBibtex
CVPR, pp.5726-5734, (2018)
Cited by7EIBibtex
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1813-1820, (2018)
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