Wei Li

Affiliations:
  • Queen Mary University of London, School of Electronic Engineering and Computer Science, UK


According to our database1, Wei Li authored at least 12 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Scalable deep learning architecture design.
PhD thesis, 2021

Hierarchical distillation learning for scalable person search.
Pattern Recognit., 2021

A Simple Feature Augmentation for Domain Generalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Scalable Person Re-Identification by Harmonious Attention.
Int. J. Comput. Vis., 2020

Exploiting Distilled Learning for Deep Siamese Tracking.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Neural Graph Embedding for Neural Architecture Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Semi-Supervised Learning under Class Distribution Mismatch.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Limited Receptive Field Network for Real-Time Driving Scene Semantic Segmentation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Harmonious Attention Network for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Attribute Recognition by Joint Recurrent Learning of Context and Correlation.
Proceedings of the IEEE International Conference on Computer Vision, 2017


  Loading...