8 citations · 8 across the 4 of their papers we have counts for
4 papers
On-the-fly Point Feature Representation for Point Clouds Analysis
Jiangyi Wang, Zhongyao Cheng, Na Zhao +2
Point cloud analysis is challenging due to its unique characteristics of unorderness, sparsity and irregularity. Prior works attempt to capture local relationships by convolution o…
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding
Yunsong Wang, Na Zhao, Gim Hee Lee
The field of self-supervised 3D representation learning has emerged as a promising solution to alleviate the challenge presented by the scarcity of extensive, well-annotated datase…
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer
Hualian Sheng, Sijia Cai, Na Zhao +4
The field of 3D object detection from point clouds is rapidly advancing in computer vision, aiming to accurately and efficiently detect and localize objects in three-dimensional sp…
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection
Yucheng Han, Na Zhao, Weiling Chen +2
Semi-supervised 3D object detection is a promising yet under-explored direction to reduce data annotation costs, especially for cluttered indoor scenes. A few prior works, such as…