Abstract Automatic Visual Captioning (AVC) generates syntactically and semantically correct
sentences by describing important objects, attributes, and their relationships with each other …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

Image captioning is a challenging task, ie, given an image machine automatically generates
natural language that matches its semantic content and has attracted much attention in …

Table structure recognition is an essential part for making machines understand tables. Its
main task is to recognize the internal structure of a table. However, due to the complexity …

Given a language expression, referring remote sensing image segmentation (RRSIS) aims
to identify ground objects and assign pixelwise labels within the imagery. One of the key …

Image captioning is a difficult problem for machine learning algorithms to compress huge
amounts of images into descriptive languages. The recurrent models are popularly used as …

Over the past several years, video captioning has received much attention in computer
vision and machine learning communities. Many models utilize an RNN-based decoder to …

By and large, existing Intellectual Property (IP) protection on deep neural networks typically
i) focus on image classification task only, and ii) follow a standard digital watermarking …

Image captioning generates a human-like description for a query image, which has attracted
considerable attention recently. The most broadly utilized model for image description is an …

Attention mechanism has made great progress in image captioning, where semantic words
or local regions are selectively embedded into the language model. However, current …