The task of multimodal cancer detection is to determine the locations and categories of
lesions by using different imaging techniques, which is one of the key research methods for …

Since the Transformer architecture was introduced in 2017, there has been many attempts to
bring the self-attention paradigm in the field of computer vision. In this paper, we propose …

In this paper, we propose a Motion Saliency based multi-stream Multiplier ResNets (MSM-
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …

The automatic segmentation of medical images has made continuous progress due to the
development of convolutional neural networks (CNNs) and attention mechanism. However …

Action recognition is a challenging video understanding task for the following two reasons:(i)
the complex video background impairs the recognition of desirable actions, and (ii) the …

X-ray baggage inspection automatically determines whether there are prohibited items in
passenger luggage and has recently achieved good progress due to the development of …

Digital dentistry has received more attention in the past decade. However, current deep
learning-based methods still encounter difficult challenges. The proposal-based methods …

Recent years have witnessed the popularity of using two-stream convolutional neural
networks for action recognition. However, existing two-stream convolutional neural network …

Tooth point cloud segmentation plays an important role in the digital dentistry, and has
received much attention in the past decade. Recently, methods based on the graph neural …

Prohibited item detection from X-ray images determines whether any prohibited items are
present in baggage, and great progress has recently been made in this field with the …