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Human Activity Recognition in an Open World
Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization outside of prior seen samples.
Deblurring using Analysis-Synthesis Networks Pair
Unlike existing deblurring networks, this design allows us to explicitly incorporate the blur-kernel in the network's training.
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