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cs.CV2022
Global Tracking Transformers
Xingyi Zhou, Tianwei Yin, Vladlen Koltun +1
We present a novel transformer-based architecture for global multi-object tracking. Our network takes a short sequence of frames as input and produces global trajectories for all o…
cs.RO2022
Learning from All Vehicles
Dian Chen, Philipp Krähenbühl
In this paper, we present a system to train driving policies from experiences collected not just from the ego-vehicle, but all vehicles that it observes. This system uses the behav…