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20142024
most citedPredicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network

82 citations · 228 across the 17 of their papers we have counts for

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14 papers · 1 filter

cs.CV2024

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

Sagi Eppel, Jolina Li, Manuel Drehwald +1

Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infec…

cs.CV2022★ 2 cited

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

Manuel S. Drehwald, Sagi Eppel, Jolina Li +2

Visual recognition of materials and their states is essential for understanding most aspects of the world, from determining whether food is cooked, metal is rusted, or a chemical r…

cs.CV2021★ 5 cited

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

Haoping Xu, Yi Ru Wang, Sagi Eppel +3

The basis of many object manipulation algorithms is RGB-D input. Yet, commodity RGB-D sensors can only provide distorted depth maps for a wide range of transparent objects due ligh…

cs.CV2021

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 +1

We present TransProteus, a dataset, and methods for predicting the 3D structure, masks, and properties of materials, liquids, and objects inside transparent vessels from a single i…

cs.CV2021★ 3 cited

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

Sagi Eppel, Haoping Xu, Alan Aspuru-Guzik

This work explores the use of computer vision for image segmentation and classification of medical fluid samples in transparent containers (for example, tubes, syringes, infusion b…

cs.CV2019★ 1 cited

Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into parts

Sagi Eppel, Alan Aspuru-Guzik

In machine learning and other fields, suggesting a good solution to a problem is usually a harder task than evaluating the quality of such a solution. This asymmetry is the basis f…