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Kalun Ho
Kalun Ho
Verified email at itwm.fraunhofer.de
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Cited by
Year
Language-independent data set annotation for machine learning-based sentiment analysis
B Guthier, K Ho, A El Saddik
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
172017
Unsupervised multiple person tracking using autoencoder-based lifted multicuts
K Ho, J Keuper, M Keuper
arXiv preprint arXiv:2002.01192, 2020
142020
Learning embeddings for image clustering: An empirical study of triplet loss approaches
K Ho, J Keuper, FJ Pfreundt, M Keuper
2020 25th International Conference on Pattern Recognition (ICPR), 87-94, 2021
122021
A two-stage minimum cost multicut approach to self-supervised multiple person tracking
K Ho, A Kardoost, FJ Pfreundt, J Keuper, M Keuper
Proceedings of the Asian Conference on Computer Vision, 2020
122020
Self-supervised sparse to dense motion segmentation
A Kardoost, K Ho, P Ochs, M Keuper
Proceedings of the Asian Conference on Computer Vision, 2020
92020
Determining exposure values from HDR histograms for smartphone photography
B Guthier, K Ho, S Kopf, W Effelsberg
Proceedings of the 21st ACM international conference on Multimedia, 425-426, 2013
52013
Msm: Multi-stage multicuts for scalable image clustering
K Ho, A Chatzimichailidis, M Keuper, J Keuper
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
42021
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
K Ho, FJ Pfreundt, J Keuper, M Keuper
arXiv preprint arXiv:2106.12303, 2021
22021
Learning Deep Visual Features for Minimum Cost Multicut Problem
K Ho
2023
Latent Space Conditioning on Generative Adversarial Networks
R Durall, K Ho, FJ Pfreundt, J Keuper
arXiv preprint arXiv:2012.08803, 2020
2020
Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts
J Keuper, K Ho, M Keuper
2020
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Articles 1–11