43 citations · 144 across the 11 of their papers we have counts for
11 papers
Learning Semantic Abstraction of Shape via 3D Region of Interest
Haiyue Fang, Xiaogang Wang, Zheyuan Cai +4
In this paper, we focus on the two tasks of 3D shape abstraction and semantic analysis. This is in contrast to current methods, which focus solely on either 3D shape abstraction or…
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
Xiaogang Wang, Xun Sun, Xinyu Cao +2
Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags. This a…
Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
Qi Kuang, Xin Jin, Qinping Zhao +1
Despite the growing number of unmanned aerial vehicles (UAVs) and aerial videos, there is a paucity of studies focusing on the aesthetics of aerial videos that can provide valuable…
Self-Supervised Learning of Part Mobility from Point Cloud Sequence
Yahao Shi, Xinyu Cao, Bin Zhou
Part mobility analysis is a significant aspect required to achieve a functional understanding of 3D objects. It would be natural to obtain part mobility from the continuous part mo…
Incomplete Utterance Rewriting as Semantic Segmentation
Qian Liu, Bei Chen, Jian-Guang Lou +2
Recent years the task of incomplete utterance rewriting has raised a large attention. Previous works usually shape it as a machine translation task and employ sequence to sequence…
PIE-NET: Parametric Inference of Point Cloud Edges
Xiaogang Wang, Yuelang Xu, Kai Xu +4
We introduce an end-to-end learnable technique to robustly identify feature edges in 3D point cloud data. We represent these edges as a collection of parametric curves (i.e.,lines,…