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S. Alireza Golestaneh
S. Alireza Golestaneh
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Title
Cited by
Cited by
Year
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
SA Golestaneh, S Dadsetan, KM Kitani
Winter Conference on Applications of Computer Vision (WACV), 2022
1692022
No-reference quality assessment of JPEG images via a quality relevance map
SA Golestaneh, DM Chandler
IEEE signal processing letters 21 (2), 155-158, 2013
1322013
3D Human Motion Estimation via Motion Compression and Refinement
Z Luo, SA Golestaneh, KM Kitani
Asian Conference on Computer Vision (ACCV), 2020
131*2020
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes.
SA Golestaneh, LJ Karam
CVPR, 596-605, 2017
123*2017
Reduced-reference quality assessment based on the entropy of DWT coefficients of locally weighted gradient magnitudes
SA Golestaneh, LJ Karam
IEEE Transactions on image processing 25 (11), 5293-5303, 2016
802016
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
N Behrmann, SA Golestaneh, Z Kolter, J Gall, M Noroozi
European Conference on Computer Vision (ECCV), 2022
552022
Algorithm for JPEG artifact reduction via local edge regeneration
S Alireza Golestaneh, DM Chandler
Journal of Electronic Imaging 23 (1), 013018-013018, 2014
462014
Importance of Self-Consistency in Active Learning for Semantic Segmentation
SA Golestaneh, K Kitani
The British Machine Vision Conference (BMVC), 2020
312020
No-reference image quality assessment via feature fusion and multi-task learning
SA Golestaneh, K Kitani
arXiv preprint arXiv:2006.03783, 2020
192020
Reduced-reference quality assessment based on the entropy of DNT coefficients of locally weighted gradients
SA Golestaneh, LJ Karam
2015 IEEE International Conference on Image Processing (ICIP), 4117-4120, 2015
142015
Comparing different preprocessing methods in automated segmentation of retinal vasculature
M Tavakoli, F Kalantari, A Golestaneh
2017 IEEE Nuclear science symposium and medical imaging conference (NSS/MIC …, 2017
132017
Automated optic nerve head detection based on different retinal vasculature segmentation methods and mathematical morphology
M Tavakoli, M Nazar, A Golestaneh, F Kalantari
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2017
112017
The effect of texture granularity on texture synthesis quality
SA Golestaneh, MM Subedar, LJ Karam
Applications of Digital Image Processing XXXVIII 9599, 356-361, 2015
112015
Use of a local cone model to predict essential CSF light adaptation behavior used in the design of luminance quantization nonlinearities
S Daly, SA Golestaneh
Human Vision and Electronic Imaging XX 9394, 16-26, 2015
72015
Synthesized texture quality assessment via multi-scale spatial and statistical texture attributes of image and gradient magnitude coefficients
A Golestaneh, LJ Karam
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
52018
Reduced-reference synthesized-texture quality assessment based on multi-scale spatial and statistical texture attributes
SA Golestaneh, LJ Karam
2016 IEEE International Conference on Image Processing (ICIP), 3783-3786, 2016
52016
Segmentation of a sequence of video images with a transformer network
N Behrmann, M Noroozi, SA Golestaneh
US Patent App. 18/308,452, 2023
2023
Learning semantic segmentation models in the absence of a portion of class labels
SA Golestaneh, JD Semedo, FJC CONDESSA, WY Lin, S GEHRER
US Patent App. 17/592,378, 2023
2023
System and Method for Augmenting Vision Transformers
A Umakantha, SA Golestaneh, J Semedo, WY Lin
US Patent App. 17/540,326, 2023
2023
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation
A Umakantha, JD Semedo, SA Golestaneh, WY Lin
https://arxiv.org/pdf/2112.09260.pdf, 2021
2021
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