19 citations · 24 across the 4 of their papers we have counts for
6 papers · 1 filter
Multi-Space Alignments Towards Universal LiDAR Segmentation
Youquan Liu, Lingdong Kong, Xiaoyang Wu +5
A unified and versatile LiDAR segmentation model with strong robustness and generalizability is desirable for safe autonomous driving perception. This work presents M3Net, a one-of…
Towards 3D Scene Understanding by Referring Synthetic Models
Runnan Chen, Xinge Zhu, Nenglun Chen +5
Promising performance has been achieved for visual perception on the point cloud. However, the current methods typically rely on labour-extensive annotations on the scene scans. In…
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
Runnan Chen, Penghao Zhou, Wenzhe Wang +4
Personalized video highlight detection aims to shorten a long video to interesting moments according to a user's preference, which has recently raised the community's attention. Cu…
Distributed Attention for Grounded Image Captioning
Nenglun Chen, Xingjia Pan, Runnan Chen +7
We study the problem of weakly supervised grounded image captioning. That is, given an image, the goal is to automatically generate a sentence describing the context of the image w…
Unsupervised Learning of Intrinsic Structural Representation Points
Nenglun Chen, Lingjie Liu, Zhiming Cui +4
Learning structures of 3D shapes is a fundamental problem in the field of computer graphics and geometry processing. We present a simple yet interpretable unsupervised method for l…
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
Runnan Chen, Yuexin Ma, Nenglun Chen +2
Marking anatomical landmarks in cephalometric radiography is a critical operation in cephalometric analysis. Automatically and accurately locating these landmarks is a challenging…