5 papers · 1 filter
On the Design Fundamentals of Pixel Text Representation Learning
Chaohao Yuan, Ruifeng Yuan, Zhuoxu Huang +4
Text-rich visual inputs require models that can read, retrieve, and compress language directly in pixel space, yet existing pixel-text encoders struggle with fixed resolution pretr…
Paving the Way for Point Cloud Video Representation Learning Using A PDE Model
Zhuoxu Huang, Zhenkun Fan, Jungong Han +1
Investigating spatial-temporal correlations, specifically how spatial points vary over time, is crucial for understanding point cloud videos. Traditional methods, particularly flow…
Point Linguist Model: Segment Any Object via Bridged Large 3D-Language Model
Zhuoxu Huang, Mingqi Gao, Jungong Han
3D object segmentation with Large Language Models (LLMs) has become a prevailing paradigm due to its broad semantics, task flexibility, and strong generalization. However, this par…
On Exploring PDE Modeling for Point Cloud Video Representation Learning
Zhuoxu Huang, Zhenkun Fan, Tao Xu +1
Point cloud video representation learning is challenging due to complex structures and unordered spatial arrangement. Traditional methods struggle with frame-to-frame correlations…
MF-MOS: A Motion-Focused Model for Moving Object Segmentation
Jintao Cheng, Kang Zeng, Zhuoxu Huang +5
Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field. Dynamic capture is a…