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ORCIDFarbod T. Motlagh
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Journal Articles
- 2022
[j1]Hamid Rezatofighi
, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9011-9025 (2022)
Conference and Workshop Papers
- 2020
- [c1]Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Hamid Rezatofighi, Damith Ranasinghe:
Towards deep clustering of human activities from wearables. ISWC 2020: 1-6
Informal and Other Publications
- 2020
- [i3]Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR abs/2001.11845 (2020) - [i2]Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Seyed Hamid Rezatofighi, Damith Chinthana Ranasinghe:
Towards Deep Clustering of Human Activities from Wearables. CoRR abs/2008.01659 (2020) - 2018
- [i1]Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR abs/1805.00613 (2018)
Coauthor Index
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