1 citations · 3 across the 7 of their papers we have counts for
8 papers
Tri-Efficient Transfer Learning for Point Cloud Videos
Yiding Sun, Dongxu Zhang, Jihua Zhu +6
While point cloud foundation models have significantly advanced point cloud video understanding, existing parameter-efficient fine-tuning (PEFT) methods still suffer from two criti…
Point-SRA: Self-Representation Alignment for 3D Representation Learning
Lintong Wei, Jian Lu, Haozhe Cheng +2
Masked autoencoders (MAE) have become a dominant paradigm in 3D representation learning, setting new performance benchmarks across various downstream tasks. Existing methods with f…
PointDico: Contrastive 3D Representation Learning Guided by Diffusion Models
Pengbo Li, Yiding Sun, Haozhe Cheng
Self-supervised representation learning has shown significant improvement in Natural Language Processing and 2D Computer Vision. However, existing methods face difficulties in repr…
Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification
Naiwen Hu, Haozhe Cheng, Yifan Xie +2
3D contrastive representation learning has exhibited remarkable efficacy across various downstream tasks. However, existing contrastive learning paradigms based on cosine similarit…
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning
Naiwen Hu, Haozhe Cheng, Yifan Xie +2
Invariance-based and generative methods have shown a conspicuous performance for 3D self-supervised representation learning (SSRL). However, the former relies on hand-crafted data…
Overlap Bias Matching is Necessary for Point Cloud Registration
Pengcheng Shi, Jie Zhang, Haozhe Cheng +4
Point cloud registration is a fundamental problem in many domains. Practically, the overlap between point clouds to be registered may be relatively small. Most unsupervised methods…
DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
Pengcheng Shi, Haozhe Cheng, Xu Han +2
Point cloud completion estimates complete shapes from incomplete point clouds to obtain higher-quality point cloud data. Most existing methods only consider global object features,…
Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation
Ansong Li
Session-based recommendation is a practical recommendation task that predicts the next item based on an anonymous behavior sequence, and its performance relies heavily on the trans…