25 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.RO2021
Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation
Ting Han, Sina Zarrieß
Socially competent robots should be equipped with the ability to perceive the world that surrounds them and communicate about it in a human-like manner. Representative skills that…
cs.CL2019★ 25 cited
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment
Nikolai Ilinykh, Sina Zarrieß, David Schlangen
Building computer systems that can converse about their visual environment is one of the oldest concerns of research in Artificial Intelligence and Computational Linguistics (see,…
cs.CL2019★ 1 cited
Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories
Sina Zarrieß, David Schlangen
Zero-shot learning in Language & Vision is the task of correctly labelling (or naming) objects of novel categories. Another strand of work in L&V aims at pragmatically informative…