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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, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp:
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, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp:
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, Mario Krenn, Sagi Eppel, Alán Aspuru-Guzik:
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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