A graph structure is a powerful mathematical abstraction, which can not only represent
information about individuals but also capture the interactions between individuals for …

Most state-of-the-art action localization systems process each action proposal individually,
without explicitly exploiting their relations during learning. However, the relations between …

Abstract Weakly-supervised Temporal Action Localization (W-TAL) aims to classify and
localize all action instances in an untrimmed video under only video-level supervision …

We addressed the challenging task of video question answering, which requires machines
to answer questions about videos in a natural language form. Previous state-of-the-art …

Radiotherapy is a mainstay treatment for cancer in clinic. An excellent radiotherapy
treatment plan is always based on a high-quality dose distribution map which is produced by …

Deep convolution neural networks (CNNs) have demonstrated advanced performance on
single-label image classification, and various progress also has been made to apply CNN …

Compared with single-label image classification, multi-label image classification is more
practical and challenging. Some recent studies attempted to leverage the semantic …

Multi-label image classification is a fundamental but challenging task towards general visual
understanding. Existing methods found the region-level cues (eg, features from RoIs) can …

The problem of class noisy instances is omnipresent in different classification problems.
However, most of research focuses on noise handling in binary classification problems and …

Multi-label image classification aims to predict multiple labels for a single image which
contains diverse content. By utilizing label correlations, various techniques have been …