Yongjian Fu

Orcid: 0000-0003-1650-7167

Affiliations:
  • Zhejiang University, College of Computer Science, Hangzhou, China


According to our database1, Yongjian Fu authored at least 18 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
A multi-granularity semisupervised active learning for point cloud semantic segmentation.
Neural Comput. Appl., July, 2023

Elastic Knowledge Distillation by Learning From Recollection.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Evolving Into a Transformer: From a Training-Free Retrieval-Based Method for Anomaly Obstacle Segmentation.
IEEE Trans. Image Process., 2023

Topology-aware Road Extraction via Multi-task Learning for Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Elastic Disentangle-Based Training for Point Cloud Segmentation Model with Remission Perturbation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Referring Expression Comprehension Using Language Adaptive Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
What and Where: Learn to Plug Adapters via NAS for Multidomain Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Memory-Efficient Class-Incremental Learning for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unified curiosity-Driven learning with smoothed intrinsic reward estimation.
Pattern Recognit., 2022

Supervoxel-based and Cost-Effective Active Learning for Point Cloud Semantic Segmentation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Condition-Aware Comparison Scheme for Gait Recognition.
IEEE Trans. Image Process., 2021

When Video Classification Meets Incremental Classes.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SDAPNet: End-to-End Multi-task Simultaneous Detection and Prediction Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Semantic Neighborhood-Aware Deep Facial Expression Recognition.
IEEE Trans. Image Process., 2020

What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning.
CoRR, 2020

Few-Shot Class-Incremental Learning via Feature Space Composition.
CoRR, 2020

Real-Time Driving Scene Semantic Segmentation.
IEEE Access, 2020


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