CasA is a simple multi-stage 3D object detection framework based on a Cascade Attention design. CasA can be integrated into many SoTA 3D detectors and greatly improve their detection performance. The ...

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...

Determining a gene’s functional importance within a cellular context has long been a challenge, as absolute expression level is an unreliable indicator. Here we introduce SIGnature, a framework for ...