I am a third year Ph.D. student in computer science at Simon Fraser University. I am supervised by Prof. Greg Mori. I did my MSc in the same university. Prior to that, I recieved my BSc degree in computer science from Amirkabir University.

My research is in computer vision and machine learning, with a particular interest in time-seris data modeling and generative models. You can find my latest CV here.

Publications

Point Process Flows.
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori.
Learning with Temporal Point Processes (NeurIPS ‘19 Workshop)

Arbitrarily-conditioned Data Imputation.
Micael Carvalho, Thibaut Durand, Jiawei He, Nazanin Mehrasa, Greg Mori.
2nd Symposium on Advances in Approximate Bayesian Inference (AABI)

A Variational-Autoencoder Model for Stochastic Point Processes.
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori.
Conference on Computer Vision and Pattern Recognition (CVPR) ‘19

Learning a Deep ConvNet for Multi-label Classification with Partial Labels.
Thibaut Durand, Nazanin Mehrasa, Greg Mori.
Conference on Computer Vision and Pattern Recognition (CVPR) ‘19

Deep Learning of Player Trajectory Representations for Team Activity Analysis.
Nazanin Mehrasa, Yatao Zhong, Fred Tung, Luke Bornn, Greg Mori.
MIT SLOAN Sports Analytics Conference, 2018.

Unsupervised Learning of Supervoxel Embeddings for Video Segmentation.
Mehran Khodabandeh, Srikanth Muralidharan, Arash Vahdat, Nazanin Mehrasa, Eduardo M. Pereira, Shin’ichi Satoh, Greg Mori.
IAPR International Conference on Pattern Recognition (ICPR) ‘16.