Sagi Eppel

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Computer Vision

Transparent Objects

Convolutional Neural Networks

Top Venues

Mach. Learn. Sci. Technol.

Nat. Mac. Intell.

Publications

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 (2024)
Sagi Eppel
Vastextures: Vast repository of textures and PBR materials extracted from real-world images using unsupervised methods. CoRR (2024)
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)
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) (2023)
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)
Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg
MVTrans: Multi-View Perception of Transparent Objects. CoRR (2023)
Mario Krenn, Lorenzo Buffoni, Bruno 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 (2022)
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 (2022)
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) (2021)
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 (2021)
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)
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 (2021)
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 (2021)
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 (2020)
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 (2019)
Sagi Eppel, Alán Aspuru-Guzik
Generator evaluator-selector net: a modular approach for panoptic segmentation. CoRR (2019)
Sagi Eppel
Classifying a specific image region using convolutional nets with an ROI mask as input. CoRR (2018)
Sagi Eppel
Hierarchical semantic segmentation using modular convolutional neural networks. CoRR (2017)
Sagi Eppel
Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels. CoRR (2017)
Sagi Eppel
Tracing liquid level and material boundaries in transparent vessels using the graph cut computer vision approach. CoRR (2016)
Sagi Eppel
Tracing the boundaries of materials in transparent vessels using computer vision. CoRR (2015)
Sagi Eppel
Using curvature to distinguish between surface reflections and vessel contents in computer vision based recognition of materials in transparent vessels. CoRR (2015)
Sagi Eppel, Tal Kachman
Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications. CoRR (2014)