Fu-En Yang

Orcid: 0000-0003-0102-7101

According to our database1, Fu-En Yang authored at least 16 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models.
CoRR, 2024

Language-Guided Transformer for Federated Multi-Label Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning.
Int. J. Comput. Vis., June, 2023

TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators.
CoRR, 2023

Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Adversarial Teacher-Student Representation Learning for Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Multi-Domain and Multi-Modal Representation Disentangler for Cross-Domain Image Manipulation and Classification.
IEEE Trans. Image Process., 2020

Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Semantics-Guided Representation Learning with Applications to Visual Synthesis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Hierarchical Self-Attention for Video Summarization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018


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