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From the 2 of 117 papers with an AI index.

most citedElectrical tunability of terahertz nonlinearity in graphene

108 citations

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6 papers · 1 filter

cs.CV20261 cited

AI-based worker guidance in assembly and disassembly operations using multimodal ego/exo-centric data capture and structured task knowledge

Vivek Chavan, Jörg Krüger

Assembly and disassembly processes rely on expert knowledge that is difficult to document, reuse, and transfer. This paper presents a data-centric approach for extracting structure…

cs.CV2026

MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection

Dinh Nam Pham, Leonard Prokisch, Bennet Meyer +1

Smartphone clip-on microscopes turn everyday devices into low-cost, portable imaging systems that can even reveal fungal structures at the microscopic level, enabling mold inspecti…

cs.CV202613 cited

Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification

Marta Oliveira, Rick Wilming, Benedict Clark +4

Convolutional Neural Networks (CNNs) are frequently and successfully used in medical prediction tasks. They are often used in combination with transfer learning, leading to improve…

cs.CV2026

HOT-POT: Optimal Transport for Sparse Stereo Matching

Antonin Clerc, Michael Quellmalz, Moritz Piening +3

Stereo vision between images faces a range of challenges, including occlusions, motion, and camera distortions, across applications in autonomous driving, robotics, and face analys…

cs.CV20252 cited

A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification

Tom Burgert, Kai Norman Clasen, Jonas Klotz +2

The development of supervised deep learning-based methods for multi-label scene classification (MLC) is one of the prominent research directions in remote sensing (RS). However, co…

cs.CV20253 cited

Adjustable Spatio-Spectral Hyperspectral Image Compression Network

Martin Hermann Paul Fuchs, Behnood Rasti, Begüm Demir

With the rapid growth of hyperspectral data archives in remote sensing (RS), the need for efficient storage has become essential, driving significant attention toward learning-base…