3 accepted papers
Reliable multi-object tracking (MOT) is essential for autonomous systems but remains challenging due to ambiguous object characteristics such as birth, death, and motion models, as well as detector errors including false detections and missed objects. Random finite set (RFS) theory provides a rigoro…
This paper presents AnoViz, a novel visualization tool of anomalies in multivariate time series, to support domain experts and data scientists in understanding anomalous instances in their systems. AnoViz provides an overall summary of time series as well as detailed visualizations of relevant detec…
This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleaved with casual response turns. The proposed approa…