Most semi-supervised skeleton-based action recognition approaches aim to...
Contrastive learning has been successfully leveraged to learn action
rep...
To balance the annotation labor and the granularity of supervision,
sing...
Constructing fine-grained image datasets typically requires domain-speci...
Human motion prediction aims to generate future motions based on the obs...
This work first attempts to automatically recognize pancreatitis on CT s...
In this paper, we aim to address the problem of human interaction recogn...
Hashing has attracted increasing research attentions in recent years due...
Image retagging aims to improve tag quality of social images by refining...
Face aging, which renders aging faces for an input face, has attracted
e...
Age progression is defined as aesthetically re-rendering the aging face ...
Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...
Similarity-preserving hashing is a commonly used method for nearest neig...