Connecting Vision and Language plays an essential role in Generative Intelligence. For this
reason, large research efforts have been devoted to image captioning, ie describing images …

Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …

Inspired by the human cognitive system, attention is a mechanism that imitates the human
cognitive awareness about specific information, amplifying critical details to focus more on …

In recent years, with the rapid development of artificial intelligence, image caption has
gradually attracted the attention of many researchers in the field of artificial intelligence and …

Detecting salient objects in cluttered scenes is a big challenge. To address this problem, we
argue that the model needs to learn discriminative semantic features for salient objects. To …

Human gaze reveals a wealth of information about internal cognitive state. Thus, gaze-
related research has significantly increased in computer vision, natural language …

Image captioning models are known to perpetuate and amplify harmful societal bias in the
training set. In this work, we aim to mitigate such gender bias in image captioning models …

Image captioning has been recently gaining a lot of attention thanks to the impressive
achievements shown by deep captioning architectures, which combine Convolutional …

Attention has been an important mechanism for both humans and computer vision systems.
While state-of-the-art models to predict attention focus on estimating a static probabilistic …

While exploring visual scenes, humans' scanpaths are driven by their underlying attention
processes. Understanding visual scanpaths is essential for various applications. Traditional …