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Conference and Workshop Papers
- 2019
[c3]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR 2019: 647-657- [c2]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR 2019: 3165-3174 - 2016
- [c1]Mehran Khodabandeh, Srikanth Muralidharan, Arash Vahdat, Nazanin Mehrasa, Eduardo M. Pereira, Shin'ichi Satoh, Greg Mori:
Unsupervised learning of supervoxel embeddings for video Segmentation. ICPR 2016: 2392-2397
Informal and Other Publications
- 2020
- [i5]Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester:
Domain Generalization via Semi-supervised Meta Learning. CoRR abs/2009.12658 (2020) - 2019
- [i4]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-label Classification with Partial Labels. CoRR abs/1902.09720 (2019) - [i3]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR abs/1904.03273 (2019) - [i2]Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2017
- [i1]Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori:
Learning Person Trajectory Representations for Team Activity Analysis. CoRR abs/1706.00893 (2017)
Coauthor Index
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