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.
Trajflow: Multi-modal motion prediction via flow matching
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
MISTY delivers state-of-the-art closed-loop scores on nuPlan Test14-hard (80.32 non-reactive, 82.21 reactive) at 10.1 ms latency via single-step MLP-Mixer inference and a latent drifting loss that encourages proactive maneuvers.
citing papers explorer
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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.
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MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting
MISTY delivers state-of-the-art closed-loop scores on nuPlan Test14-hard (80.32 non-reactive, 82.21 reactive) at 10.1 ms latency via single-step MLP-Mixer inference and a latent drifting loss that encourages proactive maneuvers.