activity
20242026
most citedEditDuet: A Multi-Agent System for Video Non-Linear Editing

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Cross-Modal Taxonomic Generalization in (Vision-) Language Models

Tianyang Xu, Marcelo Sandoval-Castaneda, Karen Livescu +2

What is the interplay between semantic representations learned by language models (LM) from surface form alone to those learned from more grounded evidence? We study this question…

cs.CL2026

Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs

Serpil Karabüklü, Kanishka Misra, Shester Gueuwou +3

Models of sign language have historically lagged behind those for spoken language (text and speech). Recent work has greatly improved their performance on tasks like sign language…

cs.CV2025★ 6 cited

EditDuet: A Multi-Agent System for Video Non-Linear Editing

Marcelo Sandoval-Castaneda, Bryan Russell, Josef Sivic +2

Automated tools for video editing and assembly have applications ranging from filmmaking and advertisement to content creation for social media. Previous video editing work has mai…

cs.CL2024★ 1 cited

SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction

Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich +2

Sign language processing has traditionally relied on task-specific models, limiting the potential for transfer learning across tasks. Pre-training methods for sign language have ty…

cs.CL2024★ 2 cited

SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale

Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich +1

A persistent challenge in sign language video processing, including the task of sign to written language translation, is how we learn representations of sign language in an effecti…