Sagi Eppel

According to our database, Sagi Eppel authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Vastextures: Vast repository of textures and PBR materials extracted from real-world images using unsupervised methods.

Sagi Eppel

CoRR, 2024

Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data.

Sagi Eppel, Jolina Li, Manuel S. Drehwald, Alán Aspuru-Guzik

CoRR, 2024

2023

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.

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

Nat. Mac. Intell., October, 2023

MVTrans: Multi-View Perception of Transparent Objects.

Yi Ru Wang, Yuchi Zhao, Haoping Xu, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

One-shot recognition of any material anywhere using contrastive learning with physics-based rendering.

Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Alán Aspuru-Guzik

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.

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

CoRR, 2022

2021

Deep molecular dreaming: inverse machine learning for de-novo molecular design and interpretability with surjective representations.

Cynthia Shen, Mario Krenn, Sagi Eppel, Alán Aspuru-Guzik

Mach. Learn. Sci. Technol., 2021

Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset.

Sagi Eppel, Haoping Xu, Yi Ru Wang, Alán Aspuru-Guzik

CoRR, 2021

Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction.

Sagi Eppel, Haoping Xu, Alán Aspuru-Guzik

CoRR, 2021

Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects.

Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Generator evaluator-selector net: a modular approach for panoptic segmentation.

Sagi Eppel, Alán Aspuru-Guzik

CoRR, 2019

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.

Sagi Eppel

CoRR, 2019

2018

Classifying a specific image region using convolutional nets with an ROI mask as input.

Sagi Eppel

CoRR, 2018

2017

Hierarchical semantic segmentation using modular convolutional neural networks.

Sagi Eppel

CoRR, 2017

Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels.

Sagi Eppel

CoRR, 2017

2016

Tracing liquid level and material boundaries in transparent vessels using the graph cut computer vision approach.

Sagi Eppel

CoRR, 2016

2015

Using curvature to distinguish between surface reflections and vessel contents in computer vision based recognition of materials in transparent vessels.

Sagi Eppel

CoRR, 2015

Tracing the boundaries of materials in transparent vessels using computer vision.

Sagi Eppel

CoRR, 2015

2014

Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications.

Sagi Eppel, Tal Kachman

CoRR, 2014