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Sagi Eppel
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2020 – today
- 2024
- [i18]Sagi Eppel, Jolina Li, Manuel S. Drehwald, Alán Aspuru-Guzik:
Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data. CoRR abs/2403.03309 (2024) - [i17]Sagi Eppel:
Vastextures: Vast repository of textures and PBR materials extracted from real-world images using unsupervised methods. CoRR abs/2406.17146 (2024) - 2023
- [j2]Mario Krenn
, Lorenzo Buffoni
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5(11): 1326-1335 (2023) - [c3]Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Alán Aspuru-Guzik:
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. ICCV 2023: 23467-23476 - [c2]Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg:
MVTrans: Multi-View Perception of Transparent Objects. ICRA 2023: 3771-3778 - [i16]Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg:
MVTrans: Multi-View Perception of Transparent Objects. CoRR abs/2302.11683 (2023) - 2022
- [i15]Mario Krenn, Lorenzo Buffoni
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR abs/2210.00881 (2022) - [i14]Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Alán Aspuru-Guzik:
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. CoRR abs/2212.00648 (2022) - 2021
- [j1]Cynthia Shen
Deep molecular dreaming: inverse machine learning for de-novo molecular design and interpretability with surjective representations. Mach. Learn. Sci. Technol. 2(3): 03 (2021) - [c1]Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg:
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects. CoRL 2021: 827-838 - [i13]Sagi Eppel, Haoping Xu, Alán Aspuru-Guzik:
Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction. CoRR abs/2105.01456 (2021) - [i12]Sagi Eppel, Haoping Xu, Yi Ru Wang, Alán Aspuru-Guzik:
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset. CoRR abs/2109.07577 (2021) - [i11]Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg:
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects. CoRR abs/2110.00087 (2021) - 2020
- [i10]Cynthia Shen, Mario Krenn, Sagi Eppel, Alán Aspuru-Guzik:
Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations. CoRR abs/2012.09712 (2020)
2010 – 2019
- 2019
- [i9]Sagi Eppel:
Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segment. CoRR abs/1902.07810 (2019) - [i8]Sagi Eppel, Alán Aspuru-Guzik:
Generator evaluator-selector net: a modular approach for panoptic segmentation. CoRR abs/1908.09108 (2019) - 2018
- [i7]Sagi Eppel:
Classifying a specific image region using convolutional nets with an ROI mask as input. CoRR abs/1812.00291 (2018) - 2017
- [i6]Sagi Eppel:
Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels. CoRR abs/1708.08711 (2017) - [i5]Sagi Eppel:
Hierarchical semantic segmentation using modular convolutional neural networks. CoRR abs/1710.05126 (2017) - 2016
- [i4]Sagi Eppel:
Tracing liquid level and material boundaries in transparent vessels using the graph cut computer vision approach. CoRR abs/1602.00177 (2016) - 2015
- [i3]Sagi Eppel:
Tracing the boundaries of materials in transparent vessels using computer vision. CoRR abs/1501.04691 (2015) - [i2]Sagi Eppel:
Using curvature to distinguish between surface reflections and vessel contents in computer vision based recognition of materials in transparent vessels. CoRR abs/1506.00168 (2015) - 2014
- [i1]Sagi Eppel, Tal Kachman:
Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications. CoRR abs/1404.7174 (2014)
Coauthor Index
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