Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Generating an image/video caption has always been a fundamental problem of Artificial
Intelligence, which is usually performed using the potential of Deep Learning Methods …

In this paper, we propose a novel semi-supervised learning (SSL) framework named
BoostMIS that combines adaptive pseudo labeling and informative active annotation to …

Fine-grained image classification is a challenging task because of the difficulty in identifying
discriminant features, it is not easy to find the subtle features that fully represent the object. In …

Current news datasets merely focus on text features on the news and rarely leverage the
feature of images, excluding numerous essential features for news classification. In this …

Text-based image captioning (TextCap) requires simultaneous comprehension of visual
content and reading the text of images to generate a natural language description. Although …

The contemporary visual captioning models frequently hallucinate objects that are not
actually in a scene, due to the visual misclassification or over-reliance on priors that …

It is well known that the one-dimensional cutting stock problem (1DCSP) is a combinatorial
optimization problem with nondeterministic polynomial (NP-hard) characteristics. Heuristic …

Image captioning is an interesting and challenging task with applications in diverse domains
such as image retrieval, organizing and locating images of users' interest, etc. It has huge …

Grounded video description (GVD) encourages captioning models to attend to appropriate
video regions (eg, objects) dynamically and generate a description. Such a setting can help …