activity
20232025
most citedSeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention

1 citations · 2 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2025

B2N3D: Progressive Learning from Binary to N-ary Relationships for 3D Object Grounding

Feng Xiao, Hongbin Xu, Hai Ci +1

Localizing 3D objects using natural language is essential for robotic scene understanding. The descriptions often involve multiple spatial relationships to distinguish similar obje…

cs.GR2025

GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes

Feng Xiao, Hongbin Xu, Wanlin Liang +1

The semantic synthesis of unseen scenes from multiple viewpoints is crucial for research in 3D scene understanding. Current methods are capable of rendering novel-view images and s…

cs.CV2025

LSVG: Language-Guided Scene Graphs with 2D-Assisted Multi-Modal Encoding for 3D Visual Grounding

Feng Xiao, Hongbin Xu, Guocan Zhao +1

3D visual grounding aims to localize the unique target described by natural languages in 3D scenes. The significant gap between 3D and language modalities makes it a notable challe…

cs.CV2024

4DStyleGaussian: Zero-shot 4D Style Transfer with Gaussian Splatting

Wanlin Liang, Hongbin Xu, Weitao Chen +2

3D neural style transfer has gained significant attention for its potential to provide user-friendly stylization with spatial consistency. However, existing 3D style transfer metho…

cs.CV2024

ControLRM: Fast and Controllable 3D Generation via Large Reconstruction Model

Hongbin Xu, Weitao Chen, Zhipeng Zhou +4

Despite recent advancements in 3D generation methods, achieving controllability still remains a challenging issue. Current approaches utilizing score-distillation sampling are hind…

cs.CV2024

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Hongbin Xu, Junduan Huang, Yuer Ma +2

3D biometric techniques on finger traits have become a new trend and have demonstrated a powerful ability for recognition and anti-counterfeiting. Existing methods follow an explic…

cs.CV2024

PhysMamba: State Space Duality Model for Remote Physiological Measurement

Zhixin Yan, Yan Zhong, Hongbin Xu +4

Remote Photoplethysmography (rPPG) enables non-contact physiological signal extraction from facial videos, offering applications in psychological state analysis, medical assistance…

cs.CV2024

RobustMVS: Single Domain Generalized Deep Multi-view Stereo

Hongbin Xu, Weitao Chen, Baigui Sun +2

Despite the impressive performance of Multi-view Stereo (MVS) approaches given plenty of training samples, the performance degradation when generalizing to unseen domains has not b…

cs.CV2024

StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields

Hongbin Xu, Weitao Chen, Feng Xiao +2

4D style transfer aims at transferring arbitrary visual style to the synthesized novel views of a dynamic 4D scene with varying viewpoints and times. Existing efforts on 3D style t…

cs.CV2024★ 1 cited

SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention

Feng Xiao, Hongbin Xu, Qiuxia Wu +1

3D visual grounding aims to automatically locate the 3D region of the specified object given the corresponding textual description. Existing works fail to distinguish similar objec…

cs.CV2023★ 1 cited

PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering

Zisheng Chen, Hongbin Xu, Weitao Chen +5

Semantic segmentation of point clouds usually requires exhausting efforts of human annotations, hence it attracts wide attention to the challenging topic of learning from unlabeled…