We are currently witnessing an unprecedented era of digital transformation in sports, driven
by the revolutions in Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR) …

Recent studies have indicated that foundation models, such as BERT and GPT, excel at
adapting to various downstream tasks. This adaptability has made them a dominant force in …

Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …

Data storytelling is powerful for communicating data insights, but it requires diverse skills
and considerable effort from human creators. Recent research has widely explored the …

Unit visualizations have been widely used in data storytelling within interactive articles and
videos. However, authoring data stories that contain animated unit visualizations is …

We present iBall, a basketball video-watching system that leverages gaze-moderated
embedded visualizations to facilitate game understanding and engagement of casual fans …

Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in
data visualization. However, diagnosing the visualization results without understanding the …

A deep understanding of sports, a field rich in strategic and dynamic content, is crucial for
advancing Natural Language Processing (NLP). This holds particular significance in the …

Creating data videos that effectively narrate stories with animated visuals requires
substantial effort and expertise. A promising research trend is leveraging the easy-to-use …

Large Language Models (LLMs) like GPT-4 which support multimodal input (ie, prompts
containing images in addition to text) have immense potential to advance visualization …