18 citations · 37 across the 5 of their papers we have counts for
5 papers
Domain Generalization via Semi-supervised Meta Learning
Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa +1
The goal of domain generalization is to learn from multiple source domains to generalize to unseen target domains under distribution discrepancy. Current state-of-the-art methods i…
Point Process Flows
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed +5
Event sequences can be modeled by temporal point processes (TPPs) to capture their asynchronous and probabilistic nature. We propose an intensity-free framework that directly model…
A Variational Auto-Encoder Model for Stochastic Point Processes
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand +3
We propose a novel probabilistic generative model for action sequences. The model is termed the Action Point Process VAE (APP-VAE), a variational auto-encoder that can capture the…
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand, Nazanin Mehrasa, Greg Mori
Deep ConvNets have shown great performance for single-label image classification (e.g. ImageNet), but it is necessary to move beyond the single-label classification task because pi…
Learning Person Trajectory Representations for Team Activity Analysis
Nazanin Mehrasa, Yatao Zhong, Frederick Tung +2
Activity analysis in which multiple people interact across a large space is challenging due to the interplay of individual actions and collective group dynamics. We propose an end-…