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11 papers · 2 filters
Seabed-Net: A multi-task network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters
Panagiotis Agrafiotis, Begüm Demir
Accurate, detailed, and regularly updated bathymetry, coupled with complex semantic content, is essential for under-mapped shallow-water environments facing increasing climatologic…
Geometry-Aware Video Inpainting for Joint Headset Occlusion Removal and Face Reconstruction in Social XR
Fatemeh Ghorbani Lohesara, Karen Eguiazarian, Sebastian Knorr
Head-mounted displays (HMDs) are essential for experiencing extended reality (XR) environments and observing virtual content. However, they obscure the upper part of the user's fac…
Enhancing 3D point accuracy of laser scanner through multi-stage convolutional neural network for applications in construction
Qinyuan Fan, Clemens Gühmann
We propose a multi-stage convolutional neural network (MSCNN) based integrated method for reducing uncertainty of 3D point accuracy of lasar scanner (LS) in rough indoor rooms, pro…
Physical Annotation for Automated Optical Inspection: A Concept for In-Situ, Pointer-Based Training Data Generation
Oliver Krumpek, Oliver Heimann, Jörg Krüger
This paper introduces a novel physical annotation system designed to generate training data for automated optical inspection. The system uses pointer-based in-situ interaction to t…
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…
Continual Self-Supervised Learning with Masked Autoencoders in Remote Sensing
Lars Möllenbrok, Behnood Rasti, Begüm Demir
The development of continual learning (CL) methods, which aim to learn new tasks in a sequential manner from the training data acquired continuously, has gained great attention in…