NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (22)

math.CV2013

A Bando-Mabuchi Uniqueness Theorem

Li Yi

cs.GR2017

Learning Hierarchical Shape Segmentation and Labeling from Online Repositories

Li Yi, Leonidas Guibas, Aaron Hertzmann +3

math.AG2011

An Ohsawa-Takegoshi theorem on compact Kähler manifolds

Li Yi

nucl-ex2012

Decomposition of flow and nonflow in relativistic heavy-ion collisions

Lingshan Xu, Li Yi, Daniel Kikola +3

nucl-ex2012

Nonflow "factorization" and a novel method to disentangle anisotropic flow and nonflow

Daniel Kikola, Li Yi, ShinIchi Esumi +2

cs.CV2019

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

Jingwei Huang, Haotian Zhang, Li Yi +3

cs.CL2016

Dialogue Session Segmentation by Embedding-Enhanced TextTiling

Yiping Song, Lili Mou, Rui Yan +4

nucl-ex2012

Isolation of Flow and Nonflow by Two- and Multi-Particle Cumulant Measurements of $v_n$ in $\sqrt{s_{NN}} = 200$ GeV Au+Au Collisions by STAR

Li Yi

nucl-ex2011

Statistical Origin of Constituent-Quark Scaling in the QGP hadronization

Zebo Tang, Li Yi, Lijuan Ruan +7

cs.GR2015

ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang, Thomas Funkhouser, Leonidas Guibas +10

nucl-ex2010

Examine the species and beam-energy dependence of particle spectra using Tsallis Statistics

Ming Shao, Li Yi, Zebo Tang +3

cs.CV2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Tong He, Haibin Huang, Li Yi +4

cs.GR2019

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Kaichun Mo, Paul Guerrero, Li Yi +4

The paper presents StructureNet, a hierarchical graph neural network that encodes and generates 3D shapes as n-ary part graphs, enabling diverse, realistic shape creation, editing,…

#hierarchical graph networks#3d shape generation#part-based modeling#graph neural networks
cs.CV2018

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

Li Yi, Wang Zhao, He Wang +2

cs.CV2016

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States

Cewu Lu, Hao Su, Yongyi Lu +3

cs.CV2018

Deep Part Induction from Articulated Object Pairs

Li Yi, Haibin Huang, Difan Liu +3

cs.CV2016

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

Li Yi, Hao Su, Xingwen Guo +1

cs.CV2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Charles R. Qi, Li Yi, Hao Su +1

cs.CV2014

3D-Assisted Image Feature Synthesis for Novel Views of an Object

Hao Su, Fan Wang, Li Yi +1

cs.CV2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Li Yi, Lin Shao, Manolis Savva +47

nucl-ex2013

Possibility to disentangle anisotropic flow, flow fluctuation, and nonflow assuming Gaussian fluctuations

Li Yi, Fuqiang Wang, Aihong Tang

cs.CV2018

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

Kaichun Mo, Shilin Zhu, Angel X. Chang +4