Zobrazeno 1 - 10
of 447
pro vyhledávání: '"STEINBACH, ECKEHARD"'
This study proposes a novel approach for real-time facial expression recognition utilizing short-range Frequency-Modulated Continuous-Wave (FMCW) radar equipped with one transmit (Tx), and three receive (Rx) antennas. The system leverages four distin
Externí odkaz:
http://arxiv.org/abs/2411.11619
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 problem tend to focus on a single task, either geometry or novel view syn
Externí odkaz:
http://arxiv.org/abs/2409.12024
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 the in-distribution (ID) samples and detects the OOD samples to prevent
Externí odkaz:
http://arxiv.org/abs/2406.04546
As learned image codecs (LICs) become more prevalent, their low coding efficiency for out-of-distribution data becomes a bottleneck for some applications. To improve the performance of LICs for screen content (SC) images without breaking backwards co
Externí odkaz:
http://arxiv.org/abs/2402.17544
Autor:
Zakour, Marsil, Nath, Partha Pratim, Lohmer, Ludwig, Gökçe, Emre Faik, Piccolrovazzi, Martin, Patsch, Constantin, Wu, Yuankai, Chaudhari, Rahul, Steinbach, Eckehard
Hand-Object Interactions (HOIs) are conditioned on spatial and temporal contexts like surrounding objects, previous actions, and future intents (for example, grasping and handover actions vary greatly based on objects proximity and trajectory obstruc
Externí odkaz:
http://arxiv.org/abs/2402.17758
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 activities and to detect any other moving or stationary object as OOD. We i
Externí odkaz:
http://arxiv.org/abs/2312.08894
The COVID-19 pandemic shifted many events in our daily lives into the virtual domain. While virtual conference systems provide an alternative to physical meetings, larger events require a muted audience to avoid an accumulation of background noise an
Externí odkaz:
http://arxiv.org/abs/2310.18099
Autor:
Adam, Michael G., Eger, Sebastian, Piccolrovazzi, Martin, Iskandar, Maged, Vogel, Joern, Dietrich, Alexander, Bien, Seongjien, Skerlj, Jon, Naceri, Abdeldjallil, Steinbach, Eckehard, Albu-Schaeffer, Alin, Haddadin, Sami, Burgard, Wolfram
As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the application of active 3D object detection, where no real data exists at all
Externí odkaz:
http://arxiv.org/abs/2310.05600
Detecting human presence indoors with millimeter-wave frequency-modulated continuous-wave (FMCW) radar faces challenges from both moving and stationary clutter. This work proposes a robust and real-time capable human presence and out-of-distribution
Externí odkaz:
http://arxiv.org/abs/2308.02396
Entropy estimation is essential for the performance of learned image compression. It has been demonstrated that a transformer-based entropy model is of critical importance for achieving a high compression ratio, however, at the expense of a significa
Externí odkaz:
http://arxiv.org/abs/2306.14287