UniSplat is a feed-forward reconstruction framework in autonomous driving scenarios. Unlike traditional methods that require dense, overlapping views and per-scene optimization, UniSplat achieves ...
Abstract: The sparse cross-modality detector offers more advantages than its counterpart, the Bird’s-Eye-View (BEV) detector, particularly in terms of adaptability for downstream tasks and ...
High-resolution flow fields are essential for understanding, predicting, and controlling fluid systems, yet they remain difficult to obtain from either experiments or high-fidelity simulations.
MalwareScope is a defensive cybersecurity project built by Prakhar Shakya, a cybersecurity student, to analyze suspicious files using static malware analysis techniques and an isolated virtual machine ...
Abstract: Tensor decomposition has been widely recognized as a promising approach for addressing missing data in traffic flow analysis. Recent studies have demonstrated its effectiveness in capturing ...