Zongyao Li

Orcid: 0000-0002-3300-1806

Affiliations:
  • NEC Corporation, Tokyo, Japan


According to our database1, Zongyao Li authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Parallel Transformer Framework for Video Moment Retrieval.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

2022
Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation.
Pattern Recognit., 2022

Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Divergence-Guided Feature Alignment for Cross-Domain Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Union-Set Multi-source Model Adaptation for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training.
Medical Biol. Eng. Comput., 2020

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning.
Proceedings of the IEEE 1st Global Conference on Life Sciences and Technologies, 2019

Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019


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