Nanyi Fei

Orcid: 0000-0002-3852-9298

According to our database1, Nanyi Fei authored at least 22 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning.
CoRR, 2024

VEMO: A Versatile Elastic Multi-modal Model for Search-Oriented Multi-task Learning.
Proceedings of the Advances in Information Retrieval, 2024

2023
Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval.
Mach. Intell. Res., August, 2023

Text-to-Chinese-painting Method Based on Multi-domain VQGAN.
Int. J. Softw. Informatics, 2023

VDT: An Empirical Study on Video Diffusion with Transformers.
CoRR, 2023

Improvable Gap Balancing for Multi-Task Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

DiST-GAN: Distillation-based Semantic Transfer for Text-Guided Face Generation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Multimodal foundation models are better simulators of the human brain.
CoRR, 2022

Supervised Contrastive Learning for Few-Shot Action Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

LGDN: Language-Guided Denoising Network for Video-Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual Prompt Tuning for Few-Shot Text Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.
CoRR, 2021

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning.
CoRR, 2021

Contrastive prototype learning with augmented embeddings for few-shot learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Compressed Video Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Z-Score Normalization, Hubness, and Few-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2018
Zero-Shot Learning with Sparse Attribute Propagation.
CoRR, 2018


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