133 citations · 169 across the 9 of their papers we have counts for
11 papers
DynaConTalk: Wavelet-Constrained Diffusion for Long-Form and Controllable Holistic Co-Speech 3D Motion
Yifei Zhu, Yangyang Cai, Mingyi Shi +4
Holistic co-speech animation is prone to averaging in both motion representation and speech conditioning. In coordinate-space diffusion, slow body posture, mid-frequency gesture st…
TALK-Dem: Benchmarking Embodied Task Planning under Dementia-Associated Communication Patterns
Guangxin Zhao, Yiran Hu, Yuan Cao +7
Existing LLM-driven robot task planners rely on a taken-for-granted assumption of an ideal user whose instructions are clear, complete, and task-focused. However, when interacting…
Tactile Search: Enhancing Targeting in 3D Space
Amber Maimon, Iddo Yehoshua Wald, Jonas Keppel +5
Visual search is crucial in daily life, from scanning for relevant information to spotting signs of danger. When sensory channels are overloaded or degraded, cognitive tasks can be…
Switched Reading: Toward Seamless Visual-Auditory Switching When Reading Text in Augmented/Mixed Reality
Kazuyuki Fujita, Yuto Matsui, Ikuru Sato +2
Augmented/mixed reality (AR/MR) wearable glasses now permit information interaction anywhere, but visual displays can be inappropriate when real-world awareness is essential. We pr…
MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation
Yifei Zhu, Mingyi Shi, Yangyang Cai +3
Text-to-motion generation must produce motions that are semantically correct, temporally coherent, and physically plausible. A natural approach is to first project motion data into…
HPG-Diff: Hierarchical physics-guided diffusion with differentiable connectivity constraints for topology optimization
Jinbo Yang, Mingyue Yuan, Boyuan Zhang +2
Deep generative models offer a promising paradigm for topology optimization, enabling rapid design exploration. However, these approaches lack intrinsic physics guidance, often lea…
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions
Huakun Liu, Miao Cheng, Xin Wei +6
Emotional body motion expressions are an essential element of non-verbal communication. Effectively conveying these expressions through technology is of utmost importance, for exam…
On tangible user interfaces, humans and spatiality
Ehud Sharlin, Benjamin Watson, Yoshifumi Kitamura +2
Like the prehistoric twig and stone, tangible user interfaces (TUIs) are objects manipulated by humans. TUI success will depend on how well they exploit spatiality, the intuitive s…
Spatial tangible user interfaces for cognitive assessment and training
Ehud Sharlin, Yuichi Itoh, Benjamin Watson +4
This paper discusses Tangible User Interfaces (TUIs) and their potential impact on cognitive assessment and cognitive training. We believe that TUIs, and particularly a subset that…
Online Photon Guiding with 3D Gaussians for Caustics Rendering
Jiawei Huang, Hajime Tanaka, Taku Komura +1
In production rendering systems, caustics are typically rendered via photon mapping and gathering, a process often hindered by insufficient photon density. In this paper, we propos…
Online Neural Path Guiding with Normalized Anisotropic Spherical Gaussians
Jiawei Huang, Akito Iizuka, Hajime Tanaka +2
The variance reduction speed of physically-based rendering is heavily affected by the adopted importance sampling technique. In this paper we propose a novel online framework to le…