13 citations · 30 across the 18 of their papers we have counts for
5 papers · 1 filter
Avatar Concept Slider: Controllable Editing of Concepts in 3D Human Avatars
Lin Geng Foo, Yixuan He, Ajmal Saeed Mian +3
Text-based editing of 3D human avatars to precisely match user requirements is challenging due to the inherent ambiguity and limited expressiveness of natural language. To overcome…
Learning to Unlearn for Robust Machine Unlearning
Mark He Huang, Lin Geng Foo, Jun Liu
Machine unlearning (MU) seeks to remove knowledge of specific data samples from trained models without the necessity for complete retraining, a task made challenging by the dual ob…
LAGA: Layered 3D Avatar Generation and Customization via Gaussian Splatting
Jia Gong, Shenyu Ji, Lin Geng Foo +3
Creating and customizing a 3D clothed avatar from textual descriptions is a critical and challenging task. Traditional methods often treat the human body and clothing as inseparabl…
Action Detection via an Image Diffusion Process
Lin Geng Foo, Tianjiao Li, Hossein Rahmani +1
Action detection aims to localize the starting and ending points of action instances in untrimmed videos, and predict the classes of those instances. In this paper, we make the obs…
LLMs are Good Sign Language Translators
Jia Gong, Lin Geng Foo, Yixuan He +2
Sign Language Translation (SLT) is a challenging task that aims to translate sign videos into spoken language. Inspired by the strong translation capabilities of large language mod…