Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …

Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design
computer agents with intelligent capabilities such as understanding, reasoning, and learning …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Intelligent transportation systems pervasively deploy thousands of video cameras. Analyzing
live video streams from these cameras is of significant importance to public safety. As …

The recognition of handwritten text is challenging as there are virtually infinite ways a human
can write the same message. Deep learning approaches for handwriting analysis have …

In this paper, we study abstractive summarization for open-domain videos. Unlike the
traditional text news summarization, the goal is less to" compress" text information but rather …

We present an efficient framework that can generate a coherent paragraph to describe a
given video. Previous works on video captioning usually focus on video clips. They typically …

Videos captured by people are often tied to certain important moments of their lives. But with
the era of big data coming, the time required to retrieval and watch can be daunting. In this …

Video captioning (VC) is a fast-moving, cross-disciplinary area of research that comprises
contributions from domains such as computer vision, natural language processing …

Multi-task learning is commonly used in autonomous driving for solving various visual
perception tasks. It offers significant benefits in terms of both performance and computational …