1 code implementation • NeurIPS 2019 • Ferran Alet, Erica Weng, Tomás Lozano Pérez, Leslie Pack Kaelbling
Framing inference as the inner-loop optimization of meta-learning leads to a model-based approach that is more data-efficient and capable of estimating the state of entities that we do not observe directly, but whose existence can be inferred from their effect on observed entities.
1 code implementation • ICCV 2023 • Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani
In response to the limitations of marginal metrics, we present the first comprehensive evaluation of state-of-the-art (SOTA) trajectory forecasting methods with respect to multi-agent metrics (joint metrics): JADE, JFDE, and collision rate.