Convolutional Neural Networks (CNN) have been regarded as a powerful class of models for
image recognition problems. Nevertheless, it is not trivial when utilizing a CNN for learning …

Automatically generating natural language descriptions of videos plays a fundamental
challenge for computer vision community. Most recent progress in this problem has been …

While there has been increasing interest in the task of describing video with natural language,
current computer vision algorithms are still severely limited in terms of the variability and …

In this paper, we introduce the new ideas of augmenting Convolutional Neural Networks (CNNs)
with Memory and learning to learn the network parameters for the unlabelled images on …

Transformer with self-attention has led to the revolutionizing of natural language processing
field, and recently inspires the emergence of Transformer-style architecture design with …

It is always well believed that modeling relationships between objects would be helpful for
representing and eventually describing an image. Nevertheless, there has not been evidence …

Automatically describing an image with a natural language has been an emerging challenge
in both fields of computer vision and natural language processing. In this paper, we present …

Recent progress on fine-grained visual recognition and visual question answering has
featured Bilinear Pooling, which effectively models the 2nd order interactions across multi-modal …

Automatically describing video content with natural language is a fundamental challenge of
computer vision. Recurrent Neural Networks (RNNs), which models sequence dynamics, …

The electrochemical CO 2 reduction reaction (CO 2 RR) using renewable electricity is one of
the most promising strategies for reaching the goal of carbon neutrality. Multicarbonous (C 2…