activity
20202026
most citedDiffusion-Based Co-Speech Gesture Generation Using Joint Text and Audio Representation

23 citations · 52 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

A Benchmark for Spatially Grounded Gesture Generation

Anna Deichler, Rishabh Dabral, Fethiye Irmak Dogan +2

Communication in shared space interweaves verbal and non-verbal signals, and pointing gestures anchor language to the environment: "put the cup on that one" is uninterpretable with…

cs.CV2026

MM-Conv: A Multimodal Dataset and Benchmark for Context-Aware Grounding in 3D Dialogue

Anna Deichler, Jim O'Regan, Fethiye Irmak Dogan +4

Grounding language in the physical world requires AI systems to interpret references that emerge dynamically during conversation. While current vision-language models (VLMs) excel…

cs.CV2025

Look and Tell: A Dataset for Multimodal Grounding Across Egocentric and Exocentric Views

Anna Deichler, Jonas Beskow

We introduce Look and Tell, a multimodal dataset for studying referential communication across egocentric and exocentric perspectives. Using Meta Project Aria smart glasses and sta…

cs.CV2025

Grounded Gesture Generation: Language, Motion, and Space

Anna Deichler, Jim O'Regan, Teo Guichoux +2

Human motion generation has advanced rapidly in recent years, yet the critical problem of creating spatially grounded, context-aware gestures has been largely overlooked. Existing…

cs.CV2024

MM-Conv: A Multi-modal Conversational Dataset for Virtual Humans

Anna Deichler, Jim O'Regan, Jonas Beskow

In this paper, we present a novel dataset captured using a VR headset to record conversations between participants within a physics simulator (AI2-THOR). Our primary objective is t…