Publications

Zero-shot 3D Semantic Segmentation via Learning from Zero-shot Labels

Zhimin Chen, Bing Li

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder

In recent years, the field of 3D self-supervised learning has witnessed significant progress, resulting in the emergence of …

Zhimin Chen, Yingwei Li, Longlong Jing, Liang Yang, Bing Li

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models

Foundation models have made significant strides in 2D and language tasks such as image segmentation, object detection, and …

Zhimin Chen, Longlong Jing, Yingwei Li, Bing Li

Class-Level Confidence Based 3D Semi-Supervised Learning

Current pseudo-labeling strategies in 3D semi-supervised learning (SSL) fail to dynamically incorporate the variance of learning status …

Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li

Multimodal Semi-Supervised Learning for 3D Objects

In recent years, semi-supervised learning has been widely explored and shows excellent data efficiency for 2D data. There is an …

Zhimin Chen, Longlong Jing, Yang Liang, YingLi Tian, Bing Li

Self-Supervised Modality-Invariant and Modality-Specific Feature Learning for 3D Objects

While most existing self-supervised 3D feature learning methods mainly focus on point cloud data, this paper explores the inherent …

Longlong Jing, Zhimin Chen, Bing Li, YingLi Tian