Astronomers have produced the most detailed map yet of dark matter, revealing the invisible framework that shaped the Universe long before stars and galaxies formed. Using powerful new observations ...
Treasures unearthed by hundreds of archaeologists during the ongoing construction of the controversial HS2 train line have been shown exclusively to the BBC. The 450,000 objects, which are being held ...
RadarMOTR is a transformer neural network based on MOTRv2 able to track multiple objects in Range-Doppler maps. Objects are first detected by an external detector based on CFAR & DBSCAN clustering.
Abstract: Text-guided object counting aims to count objects specified by textual descriptions in images, but current methods often rely on simple cosine similarity to align visual and textual ...
Abstract: Millimeter-wave (mmWave) radar is crucial for environmental perception in autonomous driving, especially under complex conditions. While radar heatmaps provide richer information than point ...
This is the official implementation of DAROD paper (2022 IEEE Intelligent Vehicle Symposium). In this repository we provide an adaption of the Faster R-CNN architecture for object detection on ...