Mode-as-Sequence turns unordered multimodal trajectory sets into ordered sequences with explicit mode dependencies via recurrent or parallel decoding plus EMTA loss, yielding top rankings on Waymo motion prediction challenges.
Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
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Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling
Mode-as-Sequence turns unordered multimodal trajectory sets into ordered sequences with explicit mode dependencies via recurrent or parallel decoding plus EMTA loss, yielding top rankings on Waymo motion prediction challenges.
- RankFormer: A Propose-then-Select Transformer for Multi-Agent Multimodal Trajectory Prediction