39 citations · 48 across the 5 of their papers we have counts for
5 papers
Zero-Shot Audio Captioning via Audibility Guidance
Tal Shaharabany, Ariel Shaulov, Lior Wolf
The task of audio captioning is similar in essence to tasks such as image and video captioning. However, it has received much less attention. We propose three desiderata for captio…
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks
Eyal Gomel, Tal Shaharabany, Lior Wolf
It has been established that training a box-based detector network can enhance the localization performance of weakly supervised and unsupervised methods. Moreover, we extend this…
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder
Tal Shaharabany, Aviad Dahan, Raja Giryes +1
The recently introduced Segment Anything Model (SAM) combines a clever architecture and large quantities of training data to obtain remarkable image segmentation capabilities. Howe…
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
Tal Shaharabany, Yoad Tewel, Lior Wolf
Given an input image, and nothing else, our method returns the bounding boxes of objects in the image and phrases that describe the objects. This is achieved within an open world p…
End-to-End Segmentation via Patch-wise Polygons Prediction
Tal Shaharabany, Lior Wolf
The leading segmentation methods represent the output map as a pixel grid. We study an alternative representation in which the object edges are modeled, per image patch, as a polyg…