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Hideki Koike

4 accepted papers

2026

DyaDiT: A Multi-Modal Diffusion Transformer for Socially Favorable Dyadic Gesture Generation

CVPR 2026

Generating realistic conversational gestures are essential for achieving natural, socially engaging interactions with digital humans. However, existing methods typically map a single audio stream to a single speaker's motion, without considering social context or modeling the mutual dynamics between

Cited by 0SourceScholar
2025

From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography

NeurIPS 2025poster

Muscle coordination is fundamental when humans interact with the world. Reliable estimation of hand muscle engagement can serve as a source of internal feedback, supporting the development of embodied intelligence and the acquisition of dexterous skills. However, contemporary electromyography (EMG)…

Cited by 0SourceScholar
2023

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation

NeurIPS 2023poster

While language-guided image manipulation has made remarkable progress, the challenge of how to instruct the manipulation process faithfully reflecting human intentions persists. An accurate and comprehensive description of a manipulation task using natural language is laborious and sometimes even im…

Cited by 31SourcePDFScholar
2021

Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation

IJCAI 2021poster

What can we picture solely from a clip of speech? Previous research has shown the possibility of directly inferring the appearance of a person's face by listening to a voice. However, within human speech lies not only the biometric identity signal but also the identity-irrelevant information such as…

Cited by 28SourcePDFScholar