4 papers
Refine Then Fusion: Training-Free 3D Point Cloud Adaptation with Priority Refinement and Multi-Modal Knowledge Fusion
Hang Cheng, Yan Chen, Mingyu Fan +1
Recent pre-trained foundation models provide rich multi-modal priors for downstream 3D vision tasks. However, the effectiveness of these representations in few-shot scenarios is li…
Perception Before Reasoning: Two-Stage Reinforcement Learning for Visual Reasoning in Vision-Language Models
Yan Chen, Long Li, Teng Xi +2
Reinforcement learning (RL) has proven highly effective in eliciting the reasoning capabilities of large language models (LLMs). Inspired by this success, recent studies have explo…
Constraint-Aware Feature Learning for Parametric Point Cloud
Xi Cheng, Ruiqi Lei, Di Huang +5
Parametric point clouds are sampled from CAD shapes and are becoming increasingly common in industrial manufacturing. Most CAD-specific deep learning methods focus on geometric fea…
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
Yan Chen, Di Huang, Zhichao Liao +3
The trend of employing training-free methods for point cloud recognition is becoming increasingly popular due to its significant reduction in computational resources and time costs…