Mobile health (mHealth) applications have become increasingly valuable i...
We propose the Motion Capsule Autoencoder (MCAE), which addresses a key
...
Understanding the trustworthiness of a prediction yielded by a classifie...
Benefiting from deep learning research and large-scale datasets, salienc...
One of the well-known challenges in computer vision tasks is the visual
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In this work, we aim to leverage prior symbolic knowledge to improve the...
In this work, we aim to utilize prior knowledge encoded as logical rules...
Social relationships form the basis of social structure of humans. Devel...
The recent success in human action recognition with deep learning method...
The recent advances in instance-level detection tasks lay strong foundat...
Bridging vision and natural language is a longstanding goal in computer
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Since the beginning of early civilizations, social relationships derived...
We study how to learn multiple dictionaries from a dataset, and approxim...