most citedNo Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing

Runjia Li, Moayed Haji-Ali, Ashkan Mirzaei +9

We study instruction-guided editing of egocentric videos for interactive AR applications. While recent AI video editors perform well on third-person footage, egocentric views prese…

cs.CV2025

VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory

Runjia Li, Philip Torr, Andrea Vedaldi +1

We propose a novel memory module for building video generators capable of interactively exploring environments. Previous approaches have achieved similar results either by out-pain…

cs.CV2025

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model

Zhaochong An, Guolei Sun, Yun Liu +4

Generalized few-shot 3D point cloud segmentation (GFS-PCS) adapts models to new classes with few support samples while retaining base class segmentation. Existing GFS-PCS methods e…

cs.CL20241 cited

No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages

Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad +4

Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjecti…

cs.CV2024

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer

Runjia Li, Junlin Han, Luke Melas-Kyriazi +6

We present DreamBeast, a novel method based on score distillation sampling (SDS) for generating fantastical 3D animal assets composed of distinct parts. Existing SDS methods often…