51 citations · 111 across the 11 of their papers we have counts for
11 papers
Do Speech Emphasis Models Generalize across Languages and Emotions?
Megan Wei, Deepali Aneja, Jiaqi Su +3
Prosodic emphasis varies across languages, emotions, and speaking styles, yet existing emphasis detection models are largely trained and evaluated on monolingual neutral read speec…
2D Neural Fields with Learned Discontinuities
Chenxi Liu, Siqi Wang, Matthew Fisher +2
Effective representation of 2D images is fundamental in digital image processing, where traditional methods like raster and vector graphics struggle with sharpness and textural com…
A Closer Look at the Limitations of Instruction Tuning
Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar +5
Instruction Tuning (IT), the process of training large language models (LLMs) using instruction-response pairs, has emerged as the predominant method for transforming base pre-trai…
Audio-driven Neural Gesture Reenactment with Video Motion Graphs
Yang Zhou, Jimei Yang, Dingzeyu Li +3
Human speech is often accompanied by body gestures including arm and hand gestures. We present a method that reenacts a high-quality video with gestures matching a target speech au…
APES: Articulated Part Extraction from Sprite Sheets
Zhan Xu, Matthew Fisher, Yang Zhou +4
Rigged puppets are one of the most prevalent representations to create 2D character animations. Creating these puppets requires partitioning characters into independently moving pa…
Learning Stylized Character Expressions from Humans
Deepali Aneja, Alex Colburn, Gary Faigin +2
We present DeepExpr, a novel expression transfer system from humans to multiple stylized characters via deep learning. We developed : 1) a data-driven perceptual model of facial ex…