The mind-bending concept of time dilation results from a seemingly harmless assumption—that the speed of light is the same for all observers.

In this paper, we propose a time-efficient approach to generate safe, smooth and dynamically feasible trajectories for quadrotors in the obstacle-cluttered environment. By using the uniform B-spline ...

Predicting non-coding RNA-based regulatory networks in cancer metastasis using a heterogeneous hierarchical graph transformer.. If you have the appropriate software installed, you can download article ...

Depth sensing is essential for intelligent computer vision applications, but it often suffers from low range precision and spatial resolution. To address this problem, we propose a novel framework ...

In this paper, three examples of non-Hermitian Hamiltonians were presented on which an approach was applied based on the Heisenberg equation of motion, namely a first-order equation in the coordinate ...

Given the absence of large-scale motion time series data, we derive and synthesize time series from existing motion skeleton data with all-joint coverage. Spatio-temporal graph networks are utilized ...

Scientists have found that our perception of time slows down considerably when exercising, which could explain a lot.

This is the implementation of the Graph Attention Structure-from-Motion (GASFM) architecture, presented in our CVPR 2024 paper Learning Structure-from-Motion with Graph Attention Networks. The ...