We present a method for automatically labelling all faces in video archives, such as TV
broadcasts, by combining multiple evidence sources and multiple modalities (visual and …

How to integrate multimodal information sources for face naming in multimodal news is a hot
and yet challenging problem. A novel deep cross-modal face naming scheme is developed …

We introduce an approach to identifying speaker names in dialogue transcripts, a crucial
task for enhancing content accessibility and searchability in digital media archives. Despite …

This article introduces the task of visual named entity discovery in videos without the need
for task-specific supervision or task-specific external knowledge sources. Assigning specific …

Current face recognition systems robustly recognize identities across a wide variety of
imaging conditions. In these systems recognition is performed via classification into known …

We develop an NLP method for inferring potential contributors among multitude of users
within crowdsourcing forums (CSFs). The method basically provides a way to predict …

TV archives are growing in size so fast that manually indexing becomes unfeasible.
Automatic indexing techniques can be applied to overcome this issue, and this work …

We present an ASR based pipeline for Amharic that orchestrates NLP components within a
cross media analysis framework (CMAF). One of the major challenges that are inherently …

We develop NLP and ASR methods (eg, algorithms, architectures) for solving these
problems: biases induced by user rating, ranking, recommendation and search engine …

This paper presents the UPC system proposed for the Multimodal Speaker Diarization task
of the 2018 Albayzin Challenge. This approach works by processing individually the speech …