3 papers
cs.CV2026
An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models
Sneha Paul, Zachary Patterson, Nizar Bouguila
Point cloud foundation models demonstrate strong generalization, yet adapting them to downstream tasks remains challenging in low-data regimes. Full fine-tuning often leads to over…
cs.CV2026
Point Cloud as a Foreign Language for Multi-modal Large Language Model
Sneha Paul, Zachary Patterson, Nizar Bouguila
Multi-modal large language models (MLLMs) have shown remarkable progress in integrating visual and linguistic understanding. Recent efforts have extended these capabilities to 3D u…
cs.CV2025
LuKAN: A Kolmogorov-Arnold Network Framework for 3D Human Motion Prediction
Md Zahidul Hasan, A. Ben Hamza, Nizar Bouguila
The goal of 3D human motion prediction is to forecast future 3D poses of the human body based on historical motion data. Existing methods often face limitations in achieving a bala…