4 citations · 6 across the 3 of their papers we have counts for
3 papers
SMCNet: Supervised Surface Material Classification Using mmWave Radar IQ Signals and Complex-valued CNNs
Stefan Hägele, Fabian Seguel, Driton Salihu +2
Understanding surface material properties is crucial for enhancing indoor robot perception and indoor digital twinning. However, not all sensor modalities typically employed for th…
RadarCNN: Learning-based Indoor Object Classification from IQ Imaging Radar Data
Stefan Hägele, Fabian Seguel, Driton Salihu +2
Radar sensors operating in the mmWave frequency range face challenges when used as indoor perception and imaging devices, primarily due to noise and multipath signal distortions. T…
LEMON: Localized Editing with Mesh Optimization and Neural Shaders
Furkan Mert Algan, Umut Yazgan, Driton Salihu +2
In practical use cases, polygonal mesh editing can be faster than generating new ones, but it can still be challenging and time-consuming for users. Existing solutions for this pro…