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Found 2 papers, 1 papers with code
Learned layered coding for Successive Refinement in the Wyner-Ziv Problem
We propose a data-driven approach to explicitly learn the progressive encoding of a continuous source, which is successively decoded with increasing levels of quality and with the aid of correlated side information.
Holistic Representation Learning for Multitask Trajectory Anomaly Detection
We encode temporally occluded trajectories, jointly learn latent representations of the occluded segments, and reconstruct trajectories based on expected motions across different temporal segments.
Ranked #1 on
Video Anomaly Detection
on UBnormal
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