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 ...

We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, which ...

The Master SWARM Consensus Forecasting Template (MSCFT) is a structured framework for developing, documenting, and auditing long-range, short-range forecasts across domains such as innovation, ...