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Hessam Bagherinezhad
Hessam Bagherinezhad
Bestätigte E-Mail-Adresse bei cs.washington.edu - Startseite
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Zitiert von
Zitiert von
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Label refinery: Improving imagenet classification through label progression
H Bagherinezhad, M Horton, M Rastegari, A Farhadi
arXiv preprint arXiv:1805.02641, 2018
2172018
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
1722016
LCNN: Lookup-based Convolutional Neural Network
H Bagherinezhad, M Rastegari, A Farhadi
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
1342017
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
702018
Are elephants bigger than butterflies? reasoning about sizes of objects
H Bagherinezhad, H Hajishirzi, Y Choi, A Farhadi
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
532016
Image classification through label progression
H Bagherinezhad, M Horton, M Rastegari, A Farhadi
US Patent 11,030,486, 2021
382021
Lookup-based convolutional neural network
H Bagherinezhad, A Farhadi, M Rastegari
US Patent 10,691,975, 2020
192020
Object detection based on pixel differences
A Prabhu, SK Khatamifard, H Bagherinezhad
US Patent App. 17/068,750, 2021
122021
An optimal time algorithm for minimum linear arrangement of chord graphs
P Raoufi, H Rostami, H Bagherinezhad
Information Sciences 238, 212-220, 2013
112013
Label refinery: Improving imagenet classification through label progression. arXiv 2018
H Bagherinezhad, M Horton, M Rastegari, A Farhadi
arXiv preprint arXiv:1805.02641, 0
11
Who let the dogs out
K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi
Modeling Dog Behavior From Visual Data. CVPR, 2018
62018
Compressed convolutional neural network models
JC Gabriel, M Rastegari, H Bagherinezhad, S Naderiparizi, A Prabhu, ...
US Patent 11,651,192, 2023
42023
Predicting job performance using mobile sensing
S Mirjafari, H Bagherinezhad, S Nepal, GJ Martinez, K Saha, M Obuchi, ...
IEEE Pervasive Computing 20 (4), 43-51, 2021
32021
Detection of moment of perception
H Bagherinezhad, CEC Del Mundo, AJ Prabhu, P Zatloukal, LF Arnstein
US Patent 10,997,730, 2021
22021
Image classification through label progression
H Bagherinezhad, M Horton, M Rastegari, A Farhadi
US Patent 11,887,225, 2024
2024
Detection of moment of perception
H Bagherinezhad, CEC Del Mundo, AJ Prabhu, P Zatloukal, LF Arnstein
US Patent 11,816,876, 2023
2023
Fast nearest neighbor search for output generation of convolutional neural networks
H Bagherinezhad, D Belenko
US Patent 11,720,789, 2023
2023
Model selection interface
AJOC Kirchhoff, A Farhadi, AJ Prabhu, CEC Del Mundo, DC Tormoen, ...
US Patent App. 17/583,133, 2022
2022
Lookup-based convolutional neural network
H Bagherinezhad, A Farhadi, M Rastegari
US Patent 11,354,538, 2022
2022
Model selection interface
AJOC Kirchhoff, A Farhadi, AJ Prabhu, CEC Del Mundo, DC Tormoen, ...
US Patent 11,263,540, 2022
2022
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