Mohammad Rostami
Title
Cited by
Cited by
Year
Explainability methods for graph convolutional neural networks
PE Pope, S Kolouri, M Rostami, CE Martin, H Hoffmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
822019
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning.
D Isele, M Rostami, E Eaton
IJCAI, 1620-1626, 2016
782016
SSIM-inspired image restoration using sparse representation
A Rehman, M Rostami, Z Wang, D Brunet, ER Vrscay
EURASIP Journal on Advances in Signal Processing 2012 (1), 16, 2012
762012
Deep transfer learning for few-shot SAR image classification
M Rostami, S Kolouri, E Eaton, K Kim
Remote Sensing 11 (11), 1374, 2019
622019
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application
M Rostami, O Michailovich, Z Wang
IEEE Transactions on Image Processing 21 (7), 3139, 2012
592012
Objective quality assessment for image super-resolution: A natural scene statistics approach
H Yeganeh, M Rostami, Z Wang
2012 19th IEEE International Conference on Image Processing, 1481-1484, 2012
282012
Complementary learning for overcoming catastrophic forgetting using experience replay
M Rostami, S Kolouri, PK Pilly
arXiv preprint arXiv:1903.04566, 2019
232019
Objective quality assessment of interpolated natural images
H Yeganeh, M Rostami, Z Wang
IEEE Transactions on Image Processing 24 (11), 4651-4663, 2015
232015
Joint dictionaries for zero-shot learning
S Kolouri, M Rostami, Y Owechko, K Kim
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
162018
Undamped oscillations in fractional-order Duffing oscillator
M Rostami, M Haeri
Signal processing 107, 361-367, 2015
152015
Blind source separation of discrete finite alphabet sources using a single mixture
M Rostami, M Babaie-Zadeh, S Samadi, C Jutten
2011 IEEE Statistical Signal Processing Workshop (SSP), 709-712, 2011
122011
Properties of artificial networks evolved to contend with natural spectra
Y Morgenstern, M Rostami, D Purves
Proceedings of the National Academy of Sciences 111 (Supplement 3), 10868-10872, 2014
112014
Generative continual concept learning
M Rostami, S Kolouri, P Pilly, J McClelland
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5545-5552, 2020
102020
Multi-agent distributed lifelong learning for collective knowledge acquisition
M Rostami, S Kolouri, K Kim, E Eaton
arXiv preprint arXiv:1709.05412, 2017
102017
Surface reconstruction in gradient-field domain using compressed sensing
M Rostami, OV Michailovich, Z Wang
IEEE Transactions on Image Processing 24 (5), 1628-1638, 2015
102015
Compressed sensing of diffusion fields under heat equation constraint
M Rostami, NM Cheung, TQS Quek
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
102013
Gradient-based surface reconstruction using compressed sensing
M Rostami, O Michailovich, Z Wang
2012 19th IEEE International Conference on Image Processing, 913-916, 2012
102012
Sar image classification using few-shot cross-domain transfer learning
M Rostami, S Kolouri, E Eaton, K Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
92019
A crowdsourcing triage algorithm for geopolitical event forecasting
M Rostami, D Huber, TC Lu
Proceedings of the 12th ACM Conference on Recommender Systems, 377-381, 2018
92018
Testing fine-grained parallelism for the admm on a factor-graph
N Hao, AR Oghbaee, M Rostami, N Derbinsky, J Bento
2016 IEEE International Parallel and Distributed Processing Symposium …, 2016
92016
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Articles 1–20