| 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 | 330 | 2022 |
| 3D Human Motion Estimation via Motion Compression and Refinement Z Luo, SA Golestaneh, KM Kitani Asian Conference on Computer Vision (ACCV), 2020 | 163* | 2020 |
| Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes. SA Golestaneh, LJ Karam CVPR, 596-605, 2017 | 138* | 2017 |
| 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 | 135 | 2013 |
| 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 | 92 | 2022 |
| 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 | 86 | 2016 |
| Algorithm for JPEG artifact reduction via local edge regeneration S Alireza Golestaneh, DM Chandler Journal of Electronic Imaging 23 (1), 013018-013018, 2014 | 48 | 2014 |
| Importance of Self-Consistency in Active Learning for Semantic Segmentation SA Golestaneh, K Kitani The British Machine Vision Conference (BMVC), 2020 | 40 | 2020 |
| No-reference image quality assessment via feature fusion and multi-task learning SA Golestaneh, K Kitani arXiv preprint arXiv:2006.03783, 2020 | 20 | 2020 |
| 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 | 16 | 2017 |
| 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 | 16 | 2015 |
| 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 | 13 | 2015 |
| 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 | 11 | 2017 |
| 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 | 9 | 2015 |
| 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 | 6 | 2018 |
| 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 | 5 | 2016 |
| 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 | 2 | 2021 |
| Segmentation of a sequence of video images with a transformer network N Behrmann, M Noroozi, SA Golestaneh US Patent App. 18/308,452, 2023 | 1 | 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 12,118,788, 2024 | | 2024 |
| System and Method for Augmenting Vision Transformers A Umakantha, SA Golestaneh, J Semedo, WY Lin US Patent App. 17/540,326, 2023 | | 2023 |
Kris KitaniCarnegie Mellon University, Meta FAIRGeverifieerd e-mailadres voor andrew.cmu.edu