4 citations · 7 across the 8 of their papers we have counts for
8 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…
ACCOR: Attention-Enhanced Complex-Valued Contrastive Learning for Occluded Object Classification Using mmWave Radar IQ Signals
Stefan Hägele, Adam Misik, Constantin Patsch +1
Millimeter-wave (mmWave) radar provides robust sensing under adverse conditions and can penetrate thin materials for non-visual perception in industrial and robotic settings. Recen…
Technical Report for Egocentric Mistake Detection for the HoloAssist Challenge
Constantin Patsch, Marsil Zakour, Yuankai Wu +1
In this report, we address the task of online mistake detection, which is vital in domains like industrial automation and education, where real-time video analysis allows human ope…
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…
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar
Sabri Mustafa Kahya, Boran Hamdi Sivrikaya, Muhammet Sami Yavuz +1
This paper proposes a short-range FMCW radar-based facial authentication and out-of-distribution (OOD) detection framework. Our pipeline jointly estimates the correct classes for t…
ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living
Marsil Zakour, Partha Pratim Nath, Ludwig Lohmer +6
Hand-Object Interactions (HOIs) are conditioned on spatial and temporal contexts like surrounding objects, previous actions, and future intents (for example, grasping and handover…
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach
We propose HAROOD as a short-range FMCW radar-based human activity classifier and out-of-distribution (OOD) detector. It aims to classify human sitting, standing, and walking activ…