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Journal Articles
- 2020
[j1]Yoav Kan-Tor, Nir Zabari, Ity Erlich, Adi Szeskin
, Tamar Amitai, Dganit Richter, Yuval Or, Zeev Shoham, Arye Hurwitz, Iris Har-Vardi, Matan Gavish, Assaf Ben-Meir, Amnon Buxboim:
Automated Evaluation of Human Embryo Blastulation and Implantation Potential using Deep-Learning. Adv. Intell. Syst. 2(10): 2000080 (2020)
Conference and Workshop Papers
- 2023
- [c5]Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried:
Diffusing Colors: Image Colorization with Text Guided Diffusion. SIGGRAPH Asia 2023: 61:1-61:11 - 2022
- [c4]Nir Zabari, Yedid Hoshen:
Open-Vocabulary Semantic Segmentation Using Test-Time Distillation. ECCV Workshops (2) 2022: 56-72 - [c3]Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari:
Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. RecSys 2022: 316-326 - 2021
- [c2]Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen:
Image Shape Manipulation from a Single Augmented Training Sample. ICCV 2021: 13749-13758 - [c1]Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson:
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. SER&IP@ICSE 2021: 29-36
Informal and Other Publications
- 2023
- [i5]Nir Zabari, Aharon Azulay, Alexey Gorkor, Tavi Halperin, Ohad Fried:
Diffusing Colors: Image Colorization with Text Guided Diffusion. CoRR abs/2312.04145 (2023) - 2021
- [i4]Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson:
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. CoRR abs/2103.13198 (2021) - [i3]Nir Zabari, Yedid Hoshen:
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples. CoRR abs/2112.03185 (2021) - 2020
- [i2]Yael Vinker, Nir Zabari, Yedid Hoshen:
Training End-to-end Single Image Generators without GANs. CoRR abs/2004.06014 (2020) - [i1]Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen:
Deep Single Image Manipulation. CoRR abs/2007.01289 (2020)
Coauthor Index
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