activity
20192023
most citedLearning Transformation Synchronization

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation

Haitao Yang, Zaiwei Zhang, Xiangru Huang +5

Bird's-Eye View (BEV) features are popular intermediate scene representations shared by the 3D backbone and the detector head in LiDAR-based object detectors. However, little resea…

cs.CV2023

GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models

Haitao Yang, Xiangru Huang, Bo Sun +2

This paper introduces GenCorres, a novel unsupervised joint shape matching (JSM) approach. Our key idea is to learn a mesh generator to fit an unorganized deformable shape collecti…

cs.CV2021

ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators

Qixing Huang, Xiangru Huang, Bo Sun +3

This paper introduces an unsupervised loss for training parametric deformation shape generators. The key idea is to enforce the preservation of local rigidity among the generated s…

cs.LG2019★ 2 cited

Joint Learning of Neural Networks via Iterative Reweighted Least Squares

Zaiwei Zhang, Xiangru Huang, Qixing Huang +2

In this paper, we introduce the problem of jointly learning feed-forward neural networks across a set of relevant but diverse datasets. Compared to learning a separate network from…

cs.CV2019★ 3 cited

Learning Transformation Synchronization

Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou +3

Reconstructing the 3D model of a physical object typically requires us to align the depth scans obtained from different camera poses into the same coordinate system. Solutions to t…