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cs.CV2021
InAugment: Improving Classifiers via Internal Augmentation
Moab Arar, Ariel Shamir, Amit Bermano
Image augmentation techniques apply transformation functions such as rotation, shearing, or color distortion on an input image. These augmentations were proven useful in improving…
cs.CV2020
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
Moab Arar, Yiftach Ginger, Dov Danon +3
Many applications, such as autonomous driving, heavily rely on multi-modal data where spatial alignment between the modalities is required. Most multi-modal registration methods st…