Articles with public access mandates - Mohammad RastegariLearn more
Available somewhere: 17
Xnor-net: Imagenet classification using binary convolutional neural networks
M Rastegari, V Ordonez, J Redmon, A Farhadi
European conference on computer vision, 525-542, 2016
Mandates: US National Science Foundation
Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
S Mehta, M Rastegari, A Caspi, L Shapiro, H Hajishirzi
Proceedings of the european conference on computer vision (ECCV), 552-568, 2018
Mandates: US National Science Foundation, US National Institutes of Health, US Office …
Ok-vqa: A visual question answering benchmark requiring external knowledge
K Marino, M Rastegari, A Farhadi, R Mottaghi
Proceedings of the IEEE/cvf conference on computer vision and pattern …, 2019
Mandates: US National Science Foundation, US Department of Defense
Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network
S Mehta, M Rastegari, L Shapiro, H Hajishirzi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Mandates: US National Science Foundation, US Office of the Director of National …
Iqa: Visual question answering in interactive environments
D Gordon, A Kembhavi, M Rastegari, J Redmon, D Fox, A Farhadi
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandates: US National Science Foundation, US Department of Defense
What's hidden in a randomly weighted neural network?
V Ramanujan, M Wortsman, A Kembhavi, A Farhadi, M Rastegari
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US National Science Foundation, US Department of Defense
Supermasks in superposition
M Wortsman, V Ramanujan, R Liu, A Kembhavi, M Rastegari, J Yosinski, ...
Advances in Neural Information Processing Systems 33, 15173-15184, 2020
Mandates: US National Science Foundation, US Department of Defense
Learning to learn how to learn: Self-adaptive visual navigation using meta-learning
M Wortsman, K Ehsani, M Rastegari, A Farhadi, R Mottaghi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Mandates: US National Science Foundation
Newtonian scene understanding: Unfolding the dynamics of objects in static images
R Mottaghi, H Bagherinezhad, M Rastegari, A Farhadi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Mandates: US National Science Foundation
Lcnn: Lookup-based convolutional neural network
H Bagherinezhad, M Rastegari, A Farhadi
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandates: US National Science Foundation, US Department of Defense
“What happens if...” learning to predict the effect of forces in images
R Mottaghi, M Rastegari, A Gupta, A Farhadi
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Mandates: US National Science Foundation
Discovering neural wirings
M Wortsman, A Farhadi, M Rastegari
Advances in Neural Information Processing Systems 32, 2019
Mandates: US National Science Foundation, US Department of Defense
Two body problem: Collaborative visual task completion
U Jain, L Weihs, E Kolve, M Rastegari, S Lazebnik, A Farhadi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US National Science Foundation
Elastic: Improving cnns with dynamic scaling policies
H Wang, A Kembhavi, A Farhadi, AL Yuille, M Rastegari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US National Science Foundation, US Department of Defense
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
K Alizadeh Vahid, A Prabhu, A Farhadi, M Rastegari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mandates: US National Science Foundation, US Department of Defense
DiCENet: Dimension-Wise Convolutions for Efficient Networks
S Mehta, H Hajishirzi, M Rastegari
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2416-2425, 2020
Mandates: US National Science Foundation, US Department of Defense
Applications of the ESPNet architecture in medical imaging
S Mehta, N Nuechterlein, E Mercan, B Li, S Nofallah, W Wu, X Lu, A Caspi, ...
State of the Art in Neural Networks and their Applications, 117-131, 2021
Mandates: US National Science Foundation, US National Institutes of Health
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