The inherent noisy and sparse characteristics of radar data pose challenges in finding effective representations for 3D object detection. In this paper, we propose RadarDistill, a novel knowledge ...

We introduce a novel open-set benchmark for remote sensing, accompanied by a self-built Vision Question Answering (VQA) remote sensing dataset, TerraVQA, providing a platform for researchers to ...

An international team of researchers has announced a significant advancement in gravitational-wave astronomy, with the detection of 128 new cosmic collisions involving black holes and neutron stars.

Abstract: Object detection in conventional surveillance systems is typically constrained to predefined objects. Furthermore, the low resolution of the video often impairs the identifiability of these ...

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external ...