Lei Li

Orcid: 0000-0002-4657-4718

Affiliations:
  • École Polytechnique, LIX, Paris, France
  • Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong (PhD 2020)


According to our database1, Lei Li authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning.
CoRR, 2024

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration.
IEEE Trans. Vis. Comput. Graph., July, 2023

GenZI: Zero-Shot 3D Human-Scene Interaction Generation.
CoRR, 2023

Generalizable Local Feature Pre-training for Deformable Shape Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence.
Proceedings of the International Conference on 3D Vision, 2022

2021
Sketch-R2CNN: An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition.
IEEE Trans. Vis. Comput. Graph., 2021

SketchDesc: Learning Local Sketch Descriptors for Multi-View Correspondence.
IEEE Trans. Circuits Syst. Video Technol., 2021

UPDesc: Unsupervised Point Descriptor Learning for Robust Registration.
CoRR, 2021

PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Fast Sketch Segmentation and Labeling With Deep Learning.
IEEE Computer Graphics and Applications, 2019

2018
Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition.
CoRR, 2018

Context-based sketch classification.
Proceedings of the 7th Joint Symposium on Computational Aesthetics, 2018

2016
Model-driven sketch reconstruction with structure-oriented retrieval.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Technical Briefs, 2016


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