ECCV 2020 | We propose advances that address two key challenges in future trajectory prediction: (i) multi-modality in both training data and predictions and (ii) constant time inference regardless of number of agents. Existing trajectory predictions are fundamentally limited by lack of diversity in training data, which is difficult to acquire with sufficient coverage of possible modes.

Collaborators: Manmohan Chandraker, Francesco Pittaluga

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