10 citations · 11 across the 5 of their papers we have counts for
5 papers
InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation
Yichen Peng, Jyun-Ting Song, Chen-Chieh Liao +3
Human-pet interaction estimation and generation remain underexplored due to the absence of a high-quality large-scale dataset. We present InterPet4D, the first multimodal dataset c…
DyaDiT: A Multi-Modal Diffusion Transformer for Socially Favorable Dyadic Gesture Generation
Yichen Peng, Jyun-Ting Song, Siyeol Jung +7
Generating realistic conversational gestures are essential for achieving natural, socially engaging interactions with digital humans. However, existing methods typically map a sing…
Ground Reaction Inertial Poser: Physics-based Human Motion Capture from Sparse IMUs and Insole Pressure Sensors
Ryosuke Hori, Jyun-Ting Song, Zhengyi Luo +4
We propose Ground Reaction Inertial Poser (GRIP), a method that reconstructs physically plausible human motion using four wearable devices. Unlike conventional IMU-only approaches,…
Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions
Rawal Khirodkar, Jyun-Ting Song, Jinkun Cao +2
Understanding how humans interact with each other is key to building realistic multi-human virtual reality systems. This area remains relatively unexplored due to the lack of large…
The CORSMAL benchmark for the prediction of the properties of containers
Alessio Xompero, Santiago Donaher, Vladimir Iashin +17
The contactless estimation of the weight of a container and the amount of its content manipulated by a person are key pre-requisites for safe human-to-robot handovers. However, opa…