End to End Trainable Active Contours via Differentiable Rendering. - Shir Gur; Tal Shaharabany; Lior Wolf (ICLR, 2020)

Explainability Guided Multi-Site COVID-19 CT Classification. - Ameen Ali; Tal Shaharabany; Lior Wolf (CoRR, 2021)

SegDiff: Image Segmentation with Diffusion Probabilistic Models. - Tomer Amit; Eliya Nachmani; Tal Shaharabany; Lior Wolf (CoRR, 2021)

End-to-End Segmentation via Patch-wise Polygons Prediction. - Tal Shaharabany; Lior Wolf (CoRR, 2021)

End-to-End Segmentation of Medical Images via Patch-Wise Polygons Prediction. - Tal Shaharabany; Lior Wolf (MICCAI (5), 2022)

Explainability Guided COVID-19 Detection in CT Scans. - Ameen Ali; Tal Shaharabany; Lior Wolf (MIDL, 2022)

What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs. - Tal Shaharabany; Yoad Tewel; Lior Wolf (NeurIPS, 2022)

AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. - Tal Shaharabany; Aviad Dahan; Raja Giryes; Lior Wolf (BMVC, 2023)

Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding. - Tal Shaharabany; Lior Wolf (CVPR, 2023)

Learning a Weight Map for Weakly-Supervised Localization. - Tal Shaharabany; Lior Wolf (ICASSP, 2023)

Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks. - Eyal Gomel; Tal Shaharabany; Lior Wolf (ICCV, 2023)

Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. - Tomer Amit; Shmuel Shichrur; Tal Shaharabany; Lior Wolf (MICCAI (4), 2023)

Zero-Shot Audio Captioning via Audibility Guidance. - Tal Shaharabany; Ariel Shaulov; Lior Wolf (CoRR, 2023)

Video Polyp Segmentation using Implicit Networks. - Aviad Dahan; Tal Shaharabany; Raja Giryes; Lior Wolf (MIDL, 2024)

Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM. - Tal Shaharabany; Lior Wolf (MIDL, 2024)

Classifier-Guided Captioning Across Modalities. - Ariel Shaulov; Tal Shaharabany; Eitan Shaar; Gal Chechik; Lior Wolf (ICASSP, 2025)