Search Results for author: Nazanin Mehrasa

Found 6 papers, 1 papers with code

Domain Generalization via Semi-supervised Meta Learning

1 code implementation26 Sep 2020 Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester

To learn a domain-invariant representation, it also utilizes a novel alignment loss to ensure that the distance between pairs of class centroids, computed after adding the unlabeled samples, is preserved across different domains.

Domain Generalization Meta-Learning

Point Process Flows

no code implementations18 Oct 2019 Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, JiaWei He, Thibaut Durand, Marcus Brubaker, Greg Mori

Event sequences can be modeled by temporal point processes (TPPs) to capture their asynchronous and probabilistic nature.

Point Processes

Arbitrarily-conditioned Data Imputation

no code implementations pproximateinference AABI Symposium 2019 Micael Carvalho, Thibaut Durand, JiaWei He, Nazanin Mehrasa, Greg Mori

In this paper, we propose an arbitrarily-conditioned data imputation framework built upon variational autoencoders and normalizing flows.

Imputation

Learning a Deep ConvNet for Multi-label Classification with Partial Labels

no code implementations CVPR 2019 Thibaut Durand, Nazanin Mehrasa, Greg Mori

Multi-label classification is a more difficult task than single-label classification because both the input images and output label spaces are more complex.

Classification General Classification +2

Learning Person Trajectory Representations for Team Activity Analysis

no code implementations3 Jun 2017 Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori

Activity analysis in which multiple people interact across a large space is challenging due to the interplay of individual actions and collective group dynamics.

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