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Found 4 papers, 1 papers with code
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
Without relying on learning or any labeled datasets, OptFlow achieves state-of-the-art performance for scene flow estimation on popular autonomous driving benchmarks.
Energy-Based Continuous Inverse Optimal Control
The problem of continuous inverse optimal control (over finite time horizon) is to learn the unknown cost function over the sequence of continuous control variables from expert demonstrations.
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Specifically, the model encodes multiple agents' past trajectories and the scene context into a Multi-Agent Tensor, then applies convolutional fusion to capture multiagent interactions while retaining the spatial structure of agents and the scene context.
Help or Hinder: Bayesian Models of Social Goal Inference
Everyday social interactions are heavily influenced by our snap judgments about others goals.
