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Nazanin Mehrasa
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Year
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
T Durand, N Mehrasa, G Mori
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
2382019
A Variational Auto-Encoder Model for Stochastic Point Processes
N Mehrasa, A Abdu Jyothi, T Durand, J He, L Sigal, G Mori
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
652019
Deep learning of player trajectory representations for team activity analysis
N Mehrasa, Y Zhong, F Tung, L Bornn, G Mori
11th MIT Sloan Sports Analytics Conference, 2018
60*2018
Domain Generalization via Semi-supervised Meta Learning
H Sharifi-Noghabi, H Asghari, N Mehrasa, M Ester
arXiv preprint arXiv:2009.12658, 2020
172020
Learning Person Trajectory Representations for Team Activity Analysis
N Mehrasa, Y Zhong, F Tung, L Bornn, G Mori
arXiv preprint arXiv:1706.00893, 2017
172017
Point Process Flows
N Mehrasa, R Deng, MO Ahmed, B Chang, J He, T Durand, M Brubaker, ...
arXiv preprint arXiv:1910.08281, 2019
152019
Systems and Methods for Behaviour Understanding from Trajectories
Y ZHONG, N MEHRASA, L BORNN, GP MORI
US Patent App. 16/388,588, 2019
152019
System and method for generative model for stochastic point processes
N Mehrasa, AA Jyothi, T Durand, J He, M Gregory, M Ahmed, M Brubaker
US Patent App. 16/685,327, 2020
142020
System and method for a convolutional neural network for multi-label classification with partial annotations
T Durand, N Mehrasa, M Gregory
US Patent App. 16/685,478, 2020
92020
Rating and Generating Sudoku Puzzles Based On Constraint Satisfaction Problems
B Fatemi, SM Kazemi, N Mehrasa
World Academy of Science, Engineering and Technology, International Journal …, 2014
52014
Unsupervised learning of supervoxel embeddings for video Segmentation
M Khodabandeh, S Muralidharan, A Vahdat, N Mehrasa, EM Pereira, ...
2016 23rd International Conference on Pattern Recognition (ICPR), 2392-2397, 2016
32016
Arbitrarily-conditioned Data Imputation
M Carvalho, T Durand, J He, N Mehrasa, G Mori
12019
Towards event analysis in time-series data: Asynchronous probabilistic models and learning from partial labels
N Mehrasa
Applied Sciences: School of Computing Science, 2021
2021
Learning a Deep ConvNet for Multi-label Classification with Partial Labels-Supplementary
T Durand, N Mehrasa, G Mori, B AI
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