output
20102026
most citedMassive MIMO Transmission for LEO Satellite Communications

536 citations

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10 papers · 1 filter

cs.CV2024★ 9 cited

Cross Domain Early Crop Mapping using CropSTGAN

Yiqun Wang, Hui Huang, Radu State

Driven by abundant satellite imagery, machine learning-based approaches have recently been promoted to generate high-resolution crop cultivation maps to support many agricultural a…

cs.CV2023★ 110 cited

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects

Leo Pauly, Wassim Rharbaoui, Carl Shneider +3

Estimating the pose of an uncooperative spacecraft is an important computer vision problem for enabling the deployment of automatic vision-based systems in orbit, with applications…

cs.CV2023★ 23 cited

Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains

Indel Pal Singh, Enjie Ghorbel, Oyebade Oyedotun +1

This paper proposes an adaptive graph-based approach for multi-label image classification. Graph-based methods have been largely exploited in the field of multi-label classificatio…

cs.CV2022★ 119 cited

Visual SLAM: What are the Current Trends and What to Expect?

Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez +1

Vision-based sensors have shown significant performance, accuracy, and efficiency gain in Simultaneous Localization and Mapping (SLAM) systems in recent years. In this regard, Visu…

cs.CV2022★ 20 cited

Lessons from a Space Lab -- An Image Acquisition Perspective

Leo Pauly, Michele Lynn Jamrozik, Miguel Ortiz Del Castillo +10

The use of Deep Learning (DL) algorithms has improved the performance of vision-based space applications in recent years. However, generating large amounts of annotated data for tr…

cs.CV2021★ 2 cited

Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation

Anis Kacem, Kseniya Cherenkova, Djamila Aouada

In this paper, we propose a new deep learning-based approach for disentangling face identity representations from expressive 3D faces. Given a 3D face, our approach not only extrac…