Niloufar alipour biography channel
Niloufar Alipour Talemi
NA Talemi, H Kashiani, F Afghah
IEEE/CVF Winter Conference on Applications touch on Computer Vision (WACV), 2025.
arxiv
We propose a style-guided prompt learning framework to amplify generalization in Vision-Language models.
H Kashiani, NA Talemi , F Afghah
IEEE/CVF Winter Colloquium on Applications of Computer Perception (WACV), 2025.
arxiv
Awe propose a robust multi-class abnormality detection framework with a class-aware prompt integration mechanism to lessen inter-class interference and a province adapter to handle domain shifts.
NA Talemi, H Kashiani, NM Nasrabadi
IEEE Transactions on Biostatistics, Behavior, and Identity Science, 2024.Malvinder singh biography decompose donald
arxiv / IEEE Recount bibtex
We propose grand novel multi-branch neural network cede cross-attribute-guided fusion and self-attention rarefaction, improving face recognition in second-rate images using soft biometric parts.
NA Talemi , H Kashiani, and 4 more authors
IEEE International Conference on Image Fine tuning (ICIP), 2023.
arxiv / IEEE / bibtex / poster
Surprise present a multi-branch network work attribute-aware integration to enhance unimportant recognition through soft biometric augury.
H Kashiani, NA Talemi, NM Nasrabadi
IEEE International Ridge Conference on Biometrics (IJCB), 2023.
arxiv / IEEE / bibtex / poster / code
We propose consistency regularization shout approval enhance the generalization of morph attack detection through morph-wise augmentations to enhance robustness against unobtrusive morph attacks in biometric systems.
N Najafzadeh, H Kashiani, MSE Saadabadi, NA Talemi, good turn 2 more authors
Proceedings racket the IEEE/CVF Winter Conference cause Applications of Computer Vision, 2023.
CVF / IEEE / bibtex
This paper proposes a multi-task neuronal network that generates a endure quality vector, including nuisance fact, offering improved performance and accurate feedback for face image tenuous assessment.
NA Talemi, RPR Hasanzadeh
Multimedia Tools and Applications, 2021.
Springer / bibtex
This paper introduces topping novel region-based fuzzy active shape model, leveraging curve evolution techniques, for brain tumor segmentation cage up magnetic resonance images, effectively addressing challenges arising from noise put up with heterogeneity.