Yuqian Fu

Orcid: 0000-0002-0412-5500

According to our database1, Yuqian Fu authored at least 18 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector.
CoRR, 2024

Open-Vocabulary Video Relation Extraction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Open-Vocabulary Video Relation Extraction.
CoRR, 2023

MinD-3D: Reconstruct High-quality 3D objects in Human Brain.
CoRR, 2023

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation.
CoRR, 2023

Meta Style Adversarial Training for Cross-Domain Few-Shot Learning.
CoRR, 2023

On the Importance of Spatial Relations for Few-shot Action Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Generalized Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data.
IEEE Trans. Image Process., 2022

Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning.
CoRR, 2022

TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

LILAC: Learning a Leader for Cooperative Reinforcement Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

E-ACJ: Accurate Junction Extraction For Event Cameras.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent.
Proceedings of the 27th ACM International Conference on Multimedia, 2019


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