144 citations · 454 across the 36 of their papers we have counts for
6 papers · 1 filter
3D Unsupervised Region-Aware Registration Transformer
Yu Hao, Yi Fang
This paper concerns the research problem of point cloud registration to find the rigid transformation to optimally align the source point set with the target one. Learning robust p…
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation
Mengxi Wu, Hao Huang, Yi Fang
With the popularity of 3D sensors in self-driving and other robotics applications, extensive research has focused on designing novel neural network architectures for accurate 3D po…
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
Haoyu Fang, Jing Zhu, Yi Fang
Lane segmentation is a challenging issue in autonomous driving system designing because lane marks show weak textural consistency due to occlusion or extreme illumination but stron…
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
Xiang Li, Lingjing Wang, Yi Fang
Recent research has seen numerous supervised learning-based methods for 3D shape segmentation and remarkable performance has been achieved on various benchmark datasets. These supe…
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
Hao Huang, Boulbaba Ben Amor, Xichan Lin +2
Analyzing the structure of proteins is a key part of understanding their functions and thus their role in biology at the molecular level. In addition, design new proteins in a meth…
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment
Hao Huang, Boulbaba Ben Amor, Xichan Lin +2
Non-linear (large) time warping is a challenging source of nuisance in time-series analysis. In this paper, we propose a novel diffeomorphic temporal transformer network for both p…