output
20022026
most citedEnd-to-End Multimodal Emotion Recognition using Deep Neural Networks

755 citations

72 papers

cs.HC2026★ 1 cited

Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divination

Matthew Prock, Ziv Epstein, Hope Schroeder +4

While generative AI tools are increasingly adopted for creative and analytical tasks, their role in interpretive practices, where meaning is subjective, plural, and non-causal, rem…

cs.GR2025★ 4 cited

Neural Image Abstraction Using Long Smoothing B-Splines

Daniel Berio, Michael Stroh, Sylvain Calinon +3

We integrate smoothing B-splines into a standard differentiable vector graphics (DiffVG) pipeline through linear mapping, and show how this can be used to generate smooth and arbit…

cond-mat.dis-nn2025

Noise-induced resonant acceleration of a charge in an intermittent magnetic field: an exact solution for ergodic and non-ergodic fluctuations

Gerardo Aquino, Mauro Bologna

We study the diffusion of a charged particle in a magnetic field subject to stochastic dichotomous fluctuations. The associated induced electric field gives rise to non-trivial dyn…

cs.HC2025★ 4 cited

Applying LLM-Powered Virtual Humans to Child Interviews in Child-Centered Design

Linshi Li, Hanlin Cai

In child-centered design, directly engaging children is crucial for deeply understanding their experiences. However, current research often prioritizes adult perspectives, as inter…

cs.HC2025★ 3 cited

Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing

Fang Ma, Ju Zhang, Lev Tankelevitch +9

Avatars are edging into mainstream videoconferencing, but evaluation of how avatar animation modalities contribute to work meeting outcomes has been limited. We report a within-gro…

q-bio.TO2024★ 16 cited

Sonic Entanglements with Electromyography: Between Bodies, Signals, and Representations

Courtney N Reed, Landon Morrison, Andrew P Mcpherson +2

This paper investigates sound and music interactions arising from the use of electromyography (EMG) to instrumentalise signals from muscle exertion of the human body. We situate EM…