Deep Learning and its applications have cascaded impactful research and development
with a diverse range of modalities present in the real-world data. More recently, this has …

The paper surveys evaluation methods of natural language generation (NLG) systems that
have been developed in the last few years. We group NLG evaluation methods into three …

Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Natural language problems have already been investigated for around five years. Recent
progress in artificial intelligence (AI) has greatly improved the performance of models …

Generative language models (LMs) such as GPT-2/3 can be prompted to generate text with
remarkable quality. While they are designed for text-prompted generation, it remains an …

We introduce a novel network, called CO-attention siamese network (COSNet), to address
the zero-shot video object segmentation task in a holistic fashion. We exploit the inherent …

Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …

Effectively summarizing and re-expressing video content by natural languages in a more
human-like fashion is one of the key topics in the field of multimedia content understanding …

Existing multi-style image captioning methods show promising results in generating a
caption with accurate visual content and desired linguistic style. However, existing methods …

Abstract Controllable Image Captioning (CIC)--generating image descriptions following
designated control signals--has received unprecedented attention over the last few years …