3260 papers • 126 benchmarks • 313 datasets
Predicting visual trajectories of out-of-sight objects using noisy trajectories from sensors or other modalities.
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This work represents the first initiative towards Out-Of-Sight Trajectory prediction (OOSTraj) and demonstrates state-of-the-art performance in out-of-sight noisy sensor trajectory denoising and prediction on the Vi-Fi and JRDB datasets.
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