In this work we study the problem of using referential language to identify common objects in
real-world 3D scenes. We focus on a challenging setup where the referred object belongs to …

We present a model of pragmatic referring expression interpretation in a grounded
communication task (identifying colors from descriptions) that draws upon predictions from …

In this work we explore how fine-grained differences between the shapes of common objects
are expressed in language, grounded on 2D and/or 3D object representations. We first build …

This paper presents the slurk software, a lightweight interaction server for setting up dialog
data collections and running experiments. Slurk enables a multitude of settings including …

This paper introduces Eve, a highperformance agent that plays a fast-paced image matching
game in a spoken dialogue with a human partner. The agent can be optimized and operated …

Abstract We apply Reinforcement Learning (RL) to the problem of incremental dialogue
policy learning in the context of a fast-paced dialogue game. We compare the policy learned …

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed
proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was …

We describe and analyze a new web-based spoken dialogue data collection framework.
The framework enables the capture of conversational speech from two remote users who …

In this paper, we present and evaluate an approach to incremental dialogue act (DA)
segmentation and classification. Our approach utilizes prosodic, lexico-syntactic and …

This paper presents and analyzes an approach to crowd-sourced spoken dialogue data
collection. Our approach enables low cost collection of browser-based spoken dialogue …